WAVELET DOMAIN VIDEO INFORMATION EMBEDDING

Size: px
Start display at page:

Download "WAVELET DOMAIN VIDEO INFORMATION EMBEDDING"

Transcription

1 WAVELET DOMAIN VIDEO INFORMATION EMBEDDING Mng Yang, Monca Trfas, Candce Trutt, and Guoun Xong Department of Mathematca and Computer Scences Jacksonve State Unversty, Jacksonve, AL 3665 {myang, atrfas, ABSTRACT Wth the proferaton of dgta mutmeda content, such as mage, audo, vdeo, and anmaton, nformaton hdng technques have attracted more and more research nterests. Hgh btrate nformaton hdng s dfferent from dgta watermarkng n that t tres to hde reatvey arge amount of auxary nformaton nstead of just one or a few verfcaton bts. Ths research s many focused on waveet doman hgh btrate nformaton hdng wthn dgta vdeo content. Channe capacty and the robustness of hdden nformaton aganst ossy vdeo codec represent our man concern. Impact of embedded nformaton on the performance of bock-matchng based moton estmaton and compensaton s another ssue. In the proposed agorthm, bt s hdden wthn each DWT coeffcent bock by means of vector quantzaton. LL (Low-Low) band coeffcents are chosen for nformaton embeddng due to ther reatvey arge amptudes and the correspondng sma quantzaton step szes on owfrequency coeffcents. The proposed agorthm s tested under H.6/AVC (Advanced Vdeo Codec), whch s the state-of-the-art vdeo codng standard. Expermenta resuts have shown that the proposed agorthm s very robust to H.6/AVC codec. Keywords: Informaton Hdng, Waveet, Vdeo, Channe Capacty, Btrate, H.6/AVC.. INTRODUCTION Informaton hdng technques have attracted more and more research nterests. Informaton hdng not ony hdes the content and ocaton of the protected data, but aso conceas the very exstence of nformaton [][]. Hgh btrate nformaton hdng embeds a reatvey arge amount of auxary nformaton wthn the host meda. The man goa of hgh btrate nformaton hdng n our study s to embed redundant nformaton wthn dgta vdeo for captonng, speech-n-vdeo, vdeo-n-vdeo, and covert communcaton. The most common attack to the hdden nformaton s JPEG/JPEG000 compresson (for st mage) or MPEG-x, H.6x, Moton-JPEG (for dgta vdeo). As such, for hgh btrate nformaton hdng, we are many concerned wth the foowng Hube Huanyu Auto-Lghtng Co., Ltd. Xangfan 0, Hube, P.R. Chna guoun0@yahoo.com.cn performance metrcs: () transparency,.e., the embeddng of hdden nformaton shoud not degrade the vsua quaty of the orgna mage/vdeo content [3]; () data capacty,.e., how many bts can be effectvey embedded wthn the host data [][5][6]; (3) robustness to JPEG/MPEG compresson,.e., how much hdden nformaton can survve the ossy JPEG/MPEG compresson [7]. Accordng to modern nformaton hdng theory, the embeddng capacty of the host vdeo frames provdes an addtona communcaton channe wth a certan amount of capacty. Accordngy, a major task n hgh btrate nformaton hdng research s to successfuy dever the nformaton bts through ths communcaton channe. Hgh btrate nformaton hdng agorthms fa nto two categores: spata-doman and transform-doman. The most straghtforward spata-doman technque for dgta mage - east-sgnfcant-bt (LSB) agorthm - s very senstve to ossy compresson. Manccam and Bourbaks proposed a spata-doman agorthm based on the texture anayss of each 3x3 neghborhood wthn the mage [8] that obtaned hgher robustness aganst compresson because the modfcatons on non-lsb bts are more robust to ossy compresson. Transform-doman agorthms embed the nformaton nto transformed host mage/vdeo. The vector projecton based hgh btrate nformaton hdng agorthm proposed by Swanson, Zhu, and Tewfk [9] embeds data by projectng the DCT coeffcents vector to a certan drecton. The method proposed by Aturk and Mersereau embeds the data by whtenng the mage and quantzng a DCT coeffcents [0]. Ther agorthm sgnfcanty mproved the securty eve and data capacty. Chae and Manjunath make use of a attce structure to code the nformaton and pace the nformaton n the md-frequency coeffcent ocatons of the DWT bock [][]. Yang and Bourbaks [3][] have proposed an nformaton hdng agorthm that proves to be robust to JPEG compresson. In ths research, we are tryng to desgn and mpement a transparent, robust, and hgh bt-rate nformaton hdng agorthm for dgta vdeo. Waveet doman s chosen for nformaton embeddng. Our goa s tryng to reach a baance between transparency, channe cty, and

2 robustness to H.6/AVC vdeo codec. Here we have objectves: () Hgh Bt-rate: bt per * bock; () Bnd nformaton retreva; (3) None or mnmum vsua degradaton; () Robustness to ossy vdeo codec. The proposed agorthm dffers from prevous work n that t uses vector quantzaton nstead of scaar quantzaton to embed the nformaton, whch makes the hdden data more robust to quantzaton nose. Rather than usng a coeffcents for data embeddng, ony the ow-frequency coeffcents n the approxmaton subband of the waveet decomposton are modfed to hde nformaton. Based on the quantzaton procedure of H.6/AVC compresson, a mathematca mode has been proposed to predct the BER of the agorthm.. INFORMATION HIDING STRATEGIES Tempora/Spata Locaton of Hdden Informaton Vdeo nformaton hdng s smar to mage nformaton hdng snce dgta vdeo s a sequence of st mages. Lke most of the state-of-art vdeo codecs, the H.6/AVC standard uses the Group-Of-Pctures (GOP) structures. Ths structure contans three dfferent knds of frames: I-frame, P-frame, and B-frame, each of whch s compressed wth dfferent strateges. Due to dfferent compresson agorthms, t s expected that I-frames have the hghest channe capacty for nformaton hdng, whe B-frames have the owest channe capacty for nformaton hdng. In vdeo compresson, the source pcture and the decoded pcture are both comprsed of three sampe arrays: umnance (uma) array and two chromnance (chroma) arrays. In order not to ead to any coor dstorton, ony the uma sampe array s chosen as the host of nformaton hdng. The uma array w be modfed as a gray-eve mage to hde nformaton. Waveet Anayss In ths study, waveet doman s chosen for nformaton embeddng. In waveet anayss, we obtan approxmatons (or trends) and detas (fuctuatons). The approxmatons are the hgh-scae, ow-frequency components of the sgna. The detas are the ow-scae, hgh-frequency components. A one-eve waveet transform of an MxN mage f can be descrbed as: f LL LH HL HH where the subbands LL, HL, LH and HH each has M/ rows and N/ coumns. Fg. dspays the subbands produced by -eve waveet transform apped to the Lena mage. As one can notce, most of the energy s concentrated n the LL subband, whch makes t a good canddate for nformaton embeddng. Fg. One-eve Waveet Decomposton Informaton Hdng Doman As can be seen n Fg., ow-frequency coeffcents present hgher amptudes than hgh-frequency coeffcents. Thus, the LL subband has been seected for nformaton hdng. The ratonaes are: Waveet and DCT both transform the mage or vdeo frames nto frequency doman. Ths w overcome the probems wth spata doman nformaton embeddng,.e., senstvty to transform-based ossy compresson. Approxmaton coeffcents n LL subband have reatvey arger amptudes compared to deta coeffcents, so they offer more room for nformaton embeddng; The hdden nformaton on approxmaton coeffcents w have a better chance to survve ossy compresson, snce the quantzaton step sze for the approxmaton coeffcents s sma; Hgh-frequency DWT coeffcents w be easy removed by ossy compresson due to ther reatvey ower energy and arger quantzaton step sze. We embed the nformaton wthn the LL band of the waveet decomposton. Snce texture detas of the mage and frames are contaned n LH, HL, and HH components, modfyng LL coeffcents w not change the texture detas. Wthn the approxmaton subband, we have chosen to embed nformaton bts by means of vector quantzaton, nstead of scaar quantzaton. Vector quantzaton has proven to be more robust to quantzaton nose than the scaar method. The approxmaton coeffcents w be grouped nto vectors, whose norms w be modfed to host nformaton bts. If one or more coeffcents have been corrupted by nose, the nformaton bt can st be devered correcty due to the others who work jonty to carry the nformaton bt.

3 H.6/AVC Advanced Vdeo Codec The proposed data embeddng methodoogy s tested under H.6/AVC vdeo codec. H.6/AVC, aso known as MPEG- part 0, s the atest deveopment of vdeo codng standard. Ths standard was proposed by Jont Vdeo Team (JVT) formed by ITU-T Vdeo Codng Experts Group (VCEG) and ISO Moton Pcture Expert Group (MPEG). In H.6/AVC, many new features have been added n order to mprove the codng performance. In H.6/AVC, a pcture may be spt nto one or more sces. A sce coud be parsed and decoded ndependenty wthout usng the data from other sces. Sces can be coded wth dfferent codng types: I sce, P sce, B sce, SP sce, and SI sce. After moton estmaton, each resdua macrobock s transformed, quantzed, and entropy-coded. H.6 uses nteger transform, whch s an approxmaton of DCT transform. 3. INFORMATION HIDING AND BLIND RETRIEVAL Informaton Hdng Agorthm The nformaton hdng agorthm ustrated n Fg. can be summarzed nto the foowng steps: (a) Perform a one-eve waveet transform of the orgna host mage; (b) Group the coeffcents wthn the approxmaton subband nto 6-eement vectors; (c) Quantze the vectors to embed the nformaton bts; (d) Perform an nverse waveet transform to the modfed waveet coeffcents to obtan the stego-mage. (e) Repeat the same procedure for every frame n the vdeo sequence. Orgna Image Stego-Image DWT IDWT DWT Decomposton LL Subband In step (c), the foowng procedure w be used: () Let us consder the transform apped to a generc - D vector V: V c, c, c,..., c, ) ( 0 c5 T: the threshod for vector quantzaton V : the norm of vector V [] : round-off operaton Vector Quantzaton Message LL Fg. Basc Structure of Informaton Hdng Agorthm V T V T 5 0 c 5 0 T c () One bt s embedded by modfyng : T ' T ± 0.5 (+0.5 to embed, and -0.5 to embed 0); (3) ' T '* T, V ' ' * V ; () Put the vector V ' back to ts orgna ocaton n the approxmaton subband; (5) Repeat the same operaton for each 6-eement vector unt a the nformaton bts have been embedded. Bnd Retreva wthout Orgna Image In most of the hgh btrate nformaton hdng appcaton scenaros, the presence of the orgna mage/vdeo content at the recever can not be expected. In ths case, the retreva of the embedded nformaton n the absence of the orgna mage (bnd retreva) s hghy desred. The agorthm for nformaton retreva s descrbed n the foowng: () Perform a one-eve waveet decomposton to the stego-mage (the mage contanng the hdden nformaton); () Reshape the approxmaton subband nto a -D vector; group ts coeffcents nto6-eement vectors n exacty the same order as n nformaton hdng; (3) Denote one of these 6-eement vectors wth : " V" " V" T " T T I T " T " [ ] V" If I>0, the s extracted as the nformaton bt; If I<0, then 0 s extracted as the nformaton bt. () Repeat the same operaton to each DWT vector unt a the nformaton bts have been extracted. Wth ths approach, the hdden nformaton can be extracted wthout the orgna mage. Ths feature s very mportant n many appcaton scenaros.. PERFORMANCE ANALYSIS Reduce Vsua Dstorton The embedded nformaton w nevtaby resut n quantzaton nose to the host vdeo content. If pxes next to each other are grouped nto bocks for nformaton embeddng, the quantzaton nose w appear as strps n the stego- vdeo content and cause bockng effects. In order to address ths ssue, a checkerboard bockng T

4 pattern has been apped to reduce vsua degradaton. Here s an exampe of the pattern that has been apped: Effectve Area for V Integer Mutpe of T Locaton of V Fg. Survva Regons of the Hdden Informaton As shown n Fg. 3, wth the checkerboard bockng approach, pxes n dfferent ocatons wth the same pattern (nstead of pxes n cose proxmty) are grouped nto bocks for nformaton embeddng. Wth ths approach, quantzaton nose caused by nformaton embeddng has been dspersed. The vsua dstorton appears more ke random nose and thus becomes ess vsbe. Robustness to ossy compresson The hdden nformaton w be nevtaby dstorted by the ossy H.6/AVC coded (more precsey, by the quantzaton). Vector quantzaton was used as a strategy of nformaton hdng n order to make the procedure more robust to nose. Suppose the DWT coeffcents vector wth the embedded nformaton bt s: V ' ( c0', c ', c',..., c n ', cn '), then the vector obtaned after H.6/AVC compresson w be: V ( c ' + q, c ' + q, c ' + q,..., c ' + q, c ' q ), where " 0 0 n n n + n q represents the nose caused by compresson. Accordng to the nformaton retreva agorthm: ' V' 0 ( c ') " V" ( c ' 0 + q Fg. 3 Checkerboard Bockng Approach ) In order to extract the correct nformaton bt, one must make sure that: sgn( T -[ T ])sgn( T -[ T ]). The embedded nformaton w be abe to survve quantzaton nose as ong as ths condton hods. The above condton (n the case that an nformaton bt s embedded) s graphcay ustrated n Fg.. As one can notce, as ong as V" s ocated n the green shaded areas, the hdden nformaton w be extracted correcty. T he condton mentoned above can be converted to: " ( ' + m) ( m 0, ±, ±, ± 3,... ), whch T T can be further converted to: n q ( c ' q ) ( m ) T 0 + ) ( c ' ) ( m T 0 + and n q ) ( ') ( ) 0 ( c ' + q ) ( m + T c m T Suppose the probabty densty functon of q (c ' + q ) s f Q (x) (pease note 0 that ( x) 0 ), then the p robabty of extractng a f Q wrong nformaton bt,.e. BER, s: S " S ' P e p ( ( + m ) T T m ( ( m + ) T ( m ) T n 0 ( c ') + ( m + ) T n 0 ( c ') + ( m ) T ) f Q ( x )) As can be seen, n order to mnmze P, T needs to be maxmzed. Ths means that the vector quantzaton threshod T has to be maxmzed under the constrant that acceptabe vsua dstorton s resuted. In the mpementaton, the quantzaton step sze T was ncreased graduay unt the quaty degradaton o f the mage starts to be vsbe. In ths case, quantzaton threshod s maxmzed, and thus BER s mnmzed. 5. EXPERIMENTAL RESULTS The proposed agorthm was mpemented wth Mathworks Matab R006 and Waveet Toobox. The transparency of the nformaton hdng agorthm has been subjectvey tested. The comparson between the orgna vdeo frames and the stego- frames for the vdeo sequence foreman_cf.yuv s ustrated n Fg. 5. As can be seen, no vsua dstorton s detected under subjectve testng, so the transparency of the nformaton hdng agorthm has been reaby ensured. The channe capacty s evauated wth bts per pxe (bpp),.e., the number of hdden nformaton bts dvded by the number of pxes n the mage. The nta data rate was /6 bpp. e

5 (a) (b) Fg. 5 Compar son between Orgna and Stego Frames (a) Orgna Frames (b) Stego Frames After nformaton hdng, the stego-vdeo was tested wth H.6/AVC reference software JM3. under dfferent quantzaton parameters (QP). In the testng, the robustness of the proposed agorthm to H.6/AVC compresson s measured wth Bt-Error-Rate (BER,.e. how many percents of the hdden nformaton coud survve the vdeo codec) by comparng the extracted bt strng wth the orgna message bt strng. A GOP structure of IBBPBB s adopted. Fg. 6 dspays the performance of the agorthm apped to the frst 6 frames of the vdeo sequence foreman_cf.yuv. Fg. 7 contans the resut of appyng the same agorthm to the frst 6 frames of a dfferent vdeo sequence tempete_cf.yuv. Fg. 6 Performance of Informaton Hdng Agorthm Fg. 7 Performance of Informaton Hdng Agorthm In Fg. 6 and Fg. 7, the frame ndex s represented on the X-axs and the correspondng survva rate (.0-BER,.e., how many percents of the embedded nformaton survve the ossy codec) of hdden nformaton s shown on the Y- axs. As can be seen from Fg. 6 and Fg. 7, the BER s very ow when QP s ower than 5. Ths means that the proposed agorthm s very robust to H.6/AVC codec. When QP reaches 5 (correspondng to bt rate of Mbps), the BER starts to ncrease sgnfcanty. The perodca spkes refect I-frames n the GOP structure beng used. As expected, nformaton wthn I-frame has the best chance to survve H.6/AVC. Between the two adjacent spkes, we can see there s a smaer spke, whch corresponds to the P-frame between B-frames. In order to ncrease the channe capacty and reaby hde more nformaton bts wthn the mage, smaer bocks (8- eement vector and -eement vector) coud be used for nformaton embeddng. Obvousy, the step sze for vector quantzaton needs to be adjusted correspondngy n order to avod vsua dstorton. Wth ths approach, channe capacty coud be ncreased to /3bpp or /6bpp, at the prce of sghty hgher BER. 6. CONCLUSION AND FUTURE WORK In ths paper, a waveet doman hgh btrate nformaton hdng agorthm that hdes arge amount of data wthn dgta vdeo content has been proposed. The approxmaton subband n waveet doman s frst dvded nto bocks (wth checkerboard pattern), each of whch w then be modfed through vector quantzaton to embed hdden data. Hdng nformaton wthn the approxmaton subband has sgnfcant advantages compared to the smar procedure apped to the other subbands. The proposed agorthm has ganed a very hgh eve of robustness to H.6/AVC compresson wthout causng unacceptabe vsua dstorton. In the future, error correcton code w be apped to further suppress bt error rate. Snce most of the state-of- art vdeo codecs use hybrd bock-matchng archtecture, the embedded nformaton s key to mpact the

6 performance of bock-matchng based moton estmaton. Such mpact w be quanttatvey anayzed through ratedstorton testng. The proposed agorthm w aso be apped to vdeo streamng appcatons for vdeo-ondemand, and thus t w be tested under a packet-swtch network transmsson envronment. The proposed agorthm s gong to be very usefu n practca appcaton such as sde nformaton devery, captonng, vdeo-n-vdeo, speech-n-vdeo, error conceament, and etc. References [] M. Yang, S. L, and N. Bourbaks, Data-magevdeo encrypton, IEEE Potentas Magazne, Aug/Sept. 00, pp.8-3. [] N. Bourbaks, and A. Doas, SCAN based mutmeda nformaton on demand, IEEE Mutmeda Magazne, Sept. 003, pp [3] A.B. Watson, DCT quantzaton matrces vsuay optmzed for ndvdua mages, Human Vson, Vsua Processng, and Dgta Dspay IV, Bernce E. Rogowtz, Edtor, Proc. SPIE 93-. [] M. Barn, F. Barton, A. de Rosa, and A. Pva, Capacty of the watermark-channe: how many bts can be hdden wthn a dgta mage? Proc. of SPIE, Vo. 3657, San Jose, CA, Jan. 999, pp [5] C.Y. Ln, and S.F. Chang, Watermarkng capacty of dgta mages based on doman-specfc maskng effects, Proceedng of Internatona Conference on Informaton Technoogy: Codng and Computng (ITCC '0), Apr 0-0, Las Vegas, NV. [6] D. Kundur, Impcatons for hgh capacty data hdng n the presence of ossy compresson, Proceedng of Internatona Conference on Informaton Technoogy: Codng and Computng, pp. 6-, March, 000. [7] C. Fe, D. Kundur, and R. Kwong, The choce of watermark doman n the presence of compresson, Proceedng of Internatona Conference on Informaton Technoogy: Codng and Computng, pp. 79-8, Las Vegas, NV, 00. [8] S.S. Manccam, and N. Bourbaks, Lossess mage compresson and encrypton usng SCAN, Pattern Recognton Journa, Vo. 3, 00, pp [9] Swanson, M.D., Zhu, B., and Tewfk, A.H., 997, Data hdng for vdeo-n-vdeo, Proceedngs of the 997 Internatona Conference on Image Processng (ICIP 97), Vo., pp , Santa Barbara, Caforna, October, 997. [0] F. Aturk, and R. Mersereau, A nove approach for ncreasng securty and data embeddng capacty n mages for data hdng appcatons, Proceedng of Internatona Conference on Informaton Technoogy: Codng and Computng, pp [] J.J. Chae, and B.S. Manjunath, Data hdng n vdeo, Proceedng of the 6th IEEE Internatona Conference on Image Processng (ICIP'99), Kobe, Japan, vo., pp. 3-35, Oct [] D. Mukherjee, J.J. Chae, and S.K. Mtra, A source and channe codng approach to data hdng wth appcaton to hdng speech n vdeo, Proceedng of IEEE Internatona Conference on Image Processng, Part I, Chcago, IL, pp , October 998. [3] M. Yang and N. Bourbaks, A hgh btrate mutmeda nformaton hdng agorthm n DCT doman, Proceedng of Word Conference of Integrated Desgn and Process Technoogy (IDPT 005), Bejng, Chna, Jun. 3 th -7 th, 005. [] M. Yang and N. Bourbaks, A hgh btrate nformaton hdng agorthm for dgta vdeo content under H.6/AVC compresson, Proceedng of IEEE Internatona Mdwest Symposum on Crcuts and Systems, Cncnnat, OH, Aug., 005.

Greyworld White Balancing with Low Computation Cost for On- Board Video Capturing

Greyworld White Balancing with Low Computation Cost for On- Board Video Capturing reyword Whte aancng wth Low Computaton Cost for On- oard Vdeo Capturng Peng Wu Yuxn Zoe) Lu Hewett-Packard Laboratores Hewett-Packard Co. Pao Ato CA 94304 USA Abstract Whte baancng s a process commony

More information

Associative Memories

Associative Memories Assocatve Memores We consder now modes for unsupervsed earnng probems, caed auto-assocaton probems. Assocaton s the task of mappng patterns to patterns. In an assocatve memory the stmuus of an ncompete

More information

VQ widely used in coding speech, image, and video

VQ widely used in coding speech, image, and video at Scalar quantzers are specal cases of vector quantzers (VQ): they are constraned to look at one sample at a tme (memoryless) VQ does not have such constrant better RD perfomance expected Source codng

More information

Pulse Coded Modulation

Pulse Coded Modulation Pulse Coded Modulaton PCM (Pulse Coded Modulaton) s a voce codng technque defned by the ITU-T G.711 standard and t s used n dgtal telephony to encode the voce sgnal. The frst step n the analog to dgtal

More information

Multispectral Remote Sensing Image Classification Algorithm Based on Rough Set Theory

Multispectral Remote Sensing Image Classification Algorithm Based on Rough Set Theory Proceedngs of the 2009 IEEE Internatona Conference on Systems Man and Cybernetcs San Antono TX USA - October 2009 Mutspectra Remote Sensng Image Cassfcaton Agorthm Based on Rough Set Theory Yng Wang Xaoyun

More information

Neural network-based athletics performance prediction optimization model applied research

Neural network-based athletics performance prediction optimization model applied research Avaabe onne www.jocpr.com Journa of Chemca and Pharmaceutca Research, 04, 6(6):8-5 Research Artce ISSN : 0975-784 CODEN(USA) : JCPRC5 Neura networ-based athetcs performance predcton optmzaton mode apped

More information

Research on Complex Networks Control Based on Fuzzy Integral Sliding Theory

Research on Complex Networks Control Based on Fuzzy Integral Sliding Theory Advanced Scence and Technoogy Letters Vo.83 (ISA 205), pp.60-65 http://dx.do.org/0.4257/ast.205.83.2 Research on Compex etworks Contro Based on Fuzzy Integra Sdng Theory Dongsheng Yang, Bngqng L, 2, He

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

WAVELET-BASED IMAGE COMPRESSION USING SUPPORT VECTOR MACHINE LEARNING AND ENCODING TECHNIQUES

WAVELET-BASED IMAGE COMPRESSION USING SUPPORT VECTOR MACHINE LEARNING AND ENCODING TECHNIQUES WAVELE-BASED IMAGE COMPRESSION USING SUPPOR VECOR MACHINE LEARNING AND ENCODING ECHNIQUES Rakb Ahmed Gppsand Schoo of Computng and Informaton echnoogy Monash Unversty, Gppsand Campus Austraa. Rakb.Ahmed@nfotech.monash.edu.au

More information

Hiding data in images by simple LSB substitution

Hiding data in images by simple LSB substitution Pattern Recognton 37 (004) 469 474 www.elsever.com/locate/patcog Hdng data n mages by smple LSB substtuton Ch-Kwong Chan, L.M. Cheng Department of Computer Engneerng and Informaton Technology, Cty Unversty

More information

Interference Alignment and Degrees of Freedom Region of Cellular Sigma Channel

Interference Alignment and Degrees of Freedom Region of Cellular Sigma Channel 2011 IEEE Internatona Symposum on Informaton Theory Proceedngs Interference Agnment and Degrees of Freedom Regon of Ceuar Sgma Channe Huaru Yn 1 Le Ke 2 Zhengdao Wang 2 1 WINLAB Dept of EEIS Unv. of Sc.

More information

A Self-embedding Robust Digital Watermarking Algorithm with Blind Detection

A Self-embedding Robust Digital Watermarking Algorithm with Blind Detection Sensors & Transducers Vol 77 Issue 8 August 04 pp 50-55 Sensors & Transducers 04 by IFSA Publshng S L http://wwwsensorsportalcom A Self-embeddng Robust Dgtal Watermarkng Algorthm wth Blnd Detecton Gong

More information

Lec 12 Rate-Distortion Optimization (RDO) in Video Coding-II

Lec 12 Rate-Distortion Optimization (RDO) in Video Coding-II Sprng 07: Multmeda Communcaton Lec ate-dstorton Optmzaton (DO) n Vdeo Codng-II Zhu L Course Web: http://l.web.umkc.edu/lzhu/ Z. L Multmeda Communcaton, Sprng 07 p. Outlne Lec ecap Lagrangan Method HW-3

More information

Lecture 3: Shannon s Theorem

Lecture 3: Shannon s Theorem CSE 533: Error-Correctng Codes (Autumn 006 Lecture 3: Shannon s Theorem October 9, 006 Lecturer: Venkatesan Guruswam Scrbe: Wdad Machmouch 1 Communcaton Model The communcaton model we are usng conssts

More information

A NEW DISCRETE WAVELET TRANSFORM

A NEW DISCRETE WAVELET TRANSFORM A NEW DISCRETE WAVELET TRANSFORM ALEXANDRU ISAR, DORINA ISAR Keywords: Dscrete wavelet, Best energy concentraton, Low SNR sgnals The Dscrete Wavelet Transform (DWT) has two parameters: the mother of wavelets

More information

Nested case-control and case-cohort studies

Nested case-control and case-cohort studies Outne: Nested case-contro and case-cohort studes Ørnuf Borgan Department of Mathematcs Unversty of Oso NORBIS course Unversty of Oso 4-8 December 217 1 Radaton and breast cancer data Nested case contro

More information

Reversible Data Hiding Based on Two-level HDWT Coefficient Histograms

Reversible Data Hiding Based on Two-level HDWT Coefficient Histograms Reversble Data Hdng Based on Two-level HDWT Coeffcent Hstograms Xu-Ren Luo 1, Chen-Hu Jerry Ln 2 and Te-Lung Y 3 1 Department of Electrcal and Electronc Engneerng, Chung Cheng Insttute of Technology, Natonal

More information

Improved Lossless Data Hiding for JPEG Images Based on Histogram Modification

Improved Lossless Data Hiding for JPEG Images Based on Histogram Modification Copyrght 2018 Tech Scence Press CMC, vol.55, no.3, pp.495-507, 2018 Improved Lossless Data Hdng for JPEG Images Based on Hstogram Modfcaton Yang Du 1, Zhaoxa Yn 1, 2, * and Xnpeng Zhang 3 Abstract: Ths

More information

Novel Pre-Compression Rate-Distortion Optimization Algorithm for JPEG 2000

Novel Pre-Compression Rate-Distortion Optimization Algorithm for JPEG 2000 Novel Pre-Compresson Rate-Dstorton Optmzaton Algorthm for JPEG 2000 Yu-We Chang, Hung-Ch Fang, Chung-Jr Lan, and Lang-Gee Chen DSP/IC Desgn Laboratory, Graduate Insttute of Electroncs Engneerng Natonal

More information

AN ADAPTIVE WATERMARKING ALGORITHM FOR DEM BASED ON DFT

AN ADAPTIVE WATERMARKING ALGORITHM FOR DEM BASED ON DFT AN ADAPTIVE WATERMARKING ALGORITHM FOR DEM BASED ON DFT Changqng Zhu 1 Zhwe Wang 2 Y Long 1 Chengsong Yang 2 1 Key Laboratory of Vrtual Geographc Envronment, Nanjng Normal Unversty, Nanjng 210054;2 Insttute

More information

On the Power Function of the Likelihood Ratio Test for MANOVA

On the Power Function of the Likelihood Ratio Test for MANOVA Journa of Mutvarate Anayss 8, 416 41 (00) do:10.1006/jmva.001.036 On the Power Functon of the Lkehood Rato Test for MANOVA Dua Kumar Bhaumk Unversty of South Aabama and Unversty of Inos at Chcago and Sanat

More information

Image Classification Using EM And JE algorithms

Image Classification Using EM And JE algorithms Machne earnng project report Fa, 2 Xaojn Sh, jennfer@soe Image Cassfcaton Usng EM And JE agorthms Xaojn Sh Department of Computer Engneerng, Unversty of Caforna, Santa Cruz, CA, 9564 jennfer@soe.ucsc.edu

More information

A finite difference method for heat equation in the unbounded domain

A finite difference method for heat equation in the unbounded domain Internatona Conerence on Advanced ectronc Scence and Technoogy (AST 6) A nte derence method or heat equaton n the unbounded doman a Quan Zheng and Xn Zhao Coege o Scence North Chna nversty o Technoogy

More information

A New Metric for Quality Assessment of Digital Images Based on Weighted-Mean Square Error 1

A New Metric for Quality Assessment of Digital Images Based on Weighted-Mean Square Error 1 A New Metrc for Qualty Assessment of Dgtal Images Based on Weghted-Mean Square Error Proceedngs of SPIE, vol. 4875, 2002 Kawen Zhang, Shuozhong Wang, and Xnpen Zhang School of Communcaton and Informaton

More information

Smooth Extraction of SVC Fine-Granular SNR Scalable Videos with a Virtual-GOP-Based Rate-Distortion Modeling

Smooth Extraction of SVC Fine-Granular SNR Scalable Videos with a Virtual-GOP-Based Rate-Distortion Modeling F Smooth Extracton of SVC Fne-Granular SNR Scalable Vdeos wth a Vrtual-GOP-Based Rate-Dstorton Modelng * Jun a SunF, Wen Gao a, Debn Zhao b a Insttute of Dgtal Meda, EECS, Pekng Unversty, Bejng, 1871,

More information

Lossy Compression. Compromise accuracy of reconstruction for increased compression.

Lossy Compression. Compromise accuracy of reconstruction for increased compression. Lossy Compresson Compromse accuracy of reconstructon for ncreased compresson. The reconstructon s usually vsbly ndstngushable from the orgnal mage. Typcally, one can get up to 0:1 compresson wth almost

More information

Chapter 6 Hidden Markov Models. Chaochun Wei Spring 2018

Chapter 6 Hidden Markov Models. Chaochun Wei Spring 2018 896 920 987 2006 Chapter 6 Hdden Markov Modes Chaochun We Sprng 208 Contents Readng materas Introducton to Hdden Markov Mode Markov chans Hdden Markov Modes Parameter estmaton for HMMs 2 Readng Rabner,

More information

Transform Coding. Transform Coding Principle

Transform Coding. Transform Coding Principle Transform Codng Prncple of block-wse transform codng Propertes of orthonormal transforms Dscrete cosne transform (DCT) Bt allocaton for transform coeffcents Entropy codng of transform coeffcents Typcal

More information

Tutorial 2. COMP4134 Biometrics Authentication. February 9, Jun Xu, Teaching Asistant

Tutorial 2. COMP4134 Biometrics Authentication. February 9, Jun Xu, Teaching Asistant Tutoral 2 COMP434 ometrcs uthentcaton Jun Xu, Teachng sstant csjunxu@comp.polyu.edu.hk February 9, 207 Table of Contents Problems Problem : nswer the questons Problem 2: Power law functon Problem 3: Convoluton

More information

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve

More information

New rate adaptation method for JPEG2000-based SNR Scalable Video Coding with Integer Linear Programming models

New rate adaptation method for JPEG2000-based SNR Scalable Video Coding with Integer Linear Programming models New rate adaptaton method for JPEG2000-based SNR Scalable Vdeo Codng wth Integer Lnear Programmng models Lvo Lma #1, Renata Mansn, Rccardo Leonard #2 # Sgnal Processng Group Department of Electroncs for

More information

Development of whole CORe Thermal Hydraulic analysis code CORTH Pan JunJie, Tang QiFen, Chai XiaoMing, Lu Wei, Liu Dong

Development of whole CORe Thermal Hydraulic analysis code CORTH Pan JunJie, Tang QiFen, Chai XiaoMing, Lu Wei, Liu Dong Deveopment of whoe CORe Therma Hydrauc anayss code CORTH Pan JunJe, Tang QFen, Cha XaoMng, Lu We, Lu Dong cence and technoogy on reactor system desgn technoogy, Nucear Power Insttute of Chna, Chengdu,

More information

CSE4210 Architecture and Hardware for DSP

CSE4210 Architecture and Hardware for DSP 4210 Archtecture and Hardware for DSP Lecture 1 Introducton & Number systems Admnstratve Stuff 4210 Archtecture and Hardware for DSP Text: VLSI Dgtal Sgnal Processng Systems: Desgn and Implementaton. K.

More information

A New Scrambling Evaluation Scheme based on Spatial Distribution Entropy and Centroid Difference of Bit-plane

A New Scrambling Evaluation Scheme based on Spatial Distribution Entropy and Centroid Difference of Bit-plane A New Scramblng Evaluaton Scheme based on Spatal Dstrbuton Entropy and Centrod Dfference of Bt-plane Lang Zhao *, Avshek Adhkar Kouch Sakura * * Graduate School of Informaton Scence and Electrcal Engneerng,

More information

Kernel Methods and SVMs Extension

Kernel Methods and SVMs Extension Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general

More information

A Novel Quality Measure for Information Hiding in Images

A Novel Quality Measure for Information Hiding in Images A Novel Qualty Measure for Informaton Hdng n s KA Navas Aravnd M SasKumar M Asstant rofessor G student rofessor College Of Engneerng College of Engneerng Maran Engneerng College Trvandrum,Inda Trvandrum,Inda

More information

An LSB Data Hiding Technique Using Prime Numbers

An LSB Data Hiding Technique Using Prime Numbers An LSB Data Hdng Technque Usng Prme Numbers Sandan Dey (), Aj Abraham (), Sugata Sanya (3) Anshn Software Prvate Lmted, Kokata 79 Centre for Quantfabe Quaty of Servce n Communcaton Systems Norwegan Unversty

More information

The Synchronous 8th-Order Differential Attack on 12 Rounds of the Block Cipher HyRAL

The Synchronous 8th-Order Differential Attack on 12 Rounds of the Block Cipher HyRAL The Synchronous 8th-Order Dfferental Attack on 12 Rounds of the Block Cpher HyRAL Yasutaka Igarash, Sej Fukushma, and Tomohro Hachno Kagoshma Unversty, Kagoshma, Japan Emal: {garash, fukushma, hachno}@eee.kagoshma-u.ac.jp

More information

COMPARING NOISE REMOVAL IN THE WAVELET AND FOURIER DOMAINS

COMPARING NOISE REMOVAL IN THE WAVELET AND FOURIER DOMAINS COMPARING NOISE REMOVAL IN THE WAVELET AND FOURIER DOMAINS Robert J. Barsant, and Jordon Glmore Department of Electrcal and Computer Engneerng The Ctadel Charleston, SC, 29407 e-mal: robert.barsant@ctadel.edu

More information

Xin Li Department of Information Systems, College of Business, City University of Hong Kong, Hong Kong, CHINA

Xin Li Department of Information Systems, College of Business, City University of Hong Kong, Hong Kong, CHINA RESEARCH ARTICLE MOELING FIXE OS BETTING FOR FUTURE EVENT PREICTION Weyun Chen eartment of Educatona Informaton Technoogy, Facuty of Educaton, East Chna Norma Unversty, Shangha, CHINA {weyun.chen@qq.com}

More information

Entropy Coding. A complete entropy codec, which is an encoder/decoder. pair, consists of the process of encoding or

Entropy Coding. A complete entropy codec, which is an encoder/decoder. pair, consists of the process of encoding or Sgnal Compresson Sgnal Compresson Entropy Codng Entropy codng s also known as zero-error codng, data compresson or lossless compresson. Entropy codng s wdely used n vrtually all popular nternatonal multmeda

More information

The Digital Fingerprinting Method for Static Images Based on Weighted Hamming Metric and on Weighted Container Model

The Digital Fingerprinting Method for Static Images Based on Weighted Hamming Metric and on Weighted Container Model Journal of Computer and Communcatons, 04,, -6 Publshed Onlne July 04 n ScRes. http://www.scrp.org/ournal/cc http://dx.do.org/0.436/cc.04.906 The Dgtal Fngerprntng Method for Statc Images Based on Weghted

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The Order Relation and Trace Inequalities for. Hermitian Operators Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence

More information

Optimum Reversible Information Hiding Based on Adaptive Joint Processing

Optimum Reversible Information Hiding Based on Adaptive Joint Processing Internatonal Forum on Energy, Envronment and Sustanable Development (IFEESD 2016 Optmum Reversble Informaton Hdng Based on Adaptve Jont Processng Zhe Mao1,a, Ynfa Zhang1, Ln Zhou1, and Tnglong Du2 1 Department

More information

Conversion Scheme for DCT-domain Transcoding of MPEG-2 to H.264/AVC

Conversion Scheme for DCT-domain Transcoding of MPEG-2 to H.264/AVC Converson Scheme for DC-doman ranscodng of MPEG-2 to H.26/AVC Joo-kyong Lee 1, K-dong Chung 1 1, Dept. of Computer Engneerng, Pusan Natonal Unv., Jangjeon-dong, Geumjeong-gu, Busan, 609-735, Korea jklee@melon.cs.pusan.ac.kr,

More information

Example: Suppose we want to build a classifier that recognizes WebPages of graduate students.

Example: Suppose we want to build a classifier that recognizes WebPages of graduate students. Exampe: Suppose we want to bud a cassfer that recognzes WebPages of graduate students. How can we fnd tranng data? We can browse the web and coect a sampe of WebPages of graduate students of varous unverstes.

More information

Conversion Scheme for DCT-Domain Transcoding of MPEG-2 to H.264/AVC

Conversion Scheme for DCT-Domain Transcoding of MPEG-2 to H.264/AVC Converson Scheme for DC-Doman ranscodng of MPEG-2 to H.26/AVC Joo-kyong Lee and K-dong Chung Dept. of Computer Engneerng, Pusan Natonal Unv., Jangjeon-dong, Geumjeong-gu, Busan, 609-735, Korea jklee@melon.cs.pusan.ac.kr,

More information

Appendix B: Resampling Algorithms

Appendix B: Resampling Algorithms 407 Appendx B: Resamplng Algorthms A common problem of all partcle flters s the degeneracy of weghts, whch conssts of the unbounded ncrease of the varance of the mportance weghts ω [ ] of the partcles

More information

Optimum Selection Combining for M-QAM on Fading Channels

Optimum Selection Combining for M-QAM on Fading Channels Optmum Seecton Combnng for M-QAM on Fadng Channes M. Surendra Raju, Ramesh Annavajjaa and A. Chockangam Insca Semconductors Inda Pvt. Ltd, Bangaore-56000, Inda Department of ECE, Unversty of Caforna, San

More information

L-Edge Chromatic Number Of A Graph

L-Edge Chromatic Number Of A Graph IJISET - Internatona Journa of Innovatve Scence Engneerng & Technoogy Vo. 3 Issue 3 March 06. ISSN 348 7968 L-Edge Chromatc Number Of A Graph Dr.R.B.Gnana Joth Assocate Professor of Mathematcs V.V.Vannaperuma

More information

REAL-TIME IMPACT FORCE IDENTIFICATION OF CFRP LAMINATED PLATES USING SOUND WAVES

REAL-TIME IMPACT FORCE IDENTIFICATION OF CFRP LAMINATED PLATES USING SOUND WAVES 8 TH INTERNATIONAL CONERENCE ON COMPOSITE MATERIALS REAL-TIME IMPACT ORCE IDENTIICATION O CRP LAMINATED PLATES USING SOUND WAVES S. Atobe *, H. Kobayash, N. Hu 3 and H. ukunaga Department of Aerospace

More information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

MARKOV CHAIN AND HIDDEN MARKOV MODEL

MARKOV CHAIN AND HIDDEN MARKOV MODEL MARKOV CHAIN AND HIDDEN MARKOV MODEL JIAN ZHANG JIANZHAN@STAT.PURDUE.EDU Markov chan and hdden Markov mode are probaby the smpest modes whch can be used to mode sequenta data,.e. data sampes whch are not

More information

The Application of BP Neural Network principal component analysis in the Forecasting the Road Traffic Accident

The Application of BP Neural Network principal component analysis in the Forecasting the Road Traffic Accident ICTCT Extra Workshop, Bejng Proceedngs The Appcaton of BP Neura Network prncpa component anayss n Forecastng Road Traffc Accdent He Mng, GuoXucheng &LuGuangmng Transportaton Coege of Souast Unversty 07

More information

GENERATION OF GOLD-SEQUENCES WITH APPLICATIONS TO SPREAD SPECTRUM SYSTEMS

GENERATION OF GOLD-SEQUENCES WITH APPLICATIONS TO SPREAD SPECTRUM SYSTEMS GENERATION OF GOLD-SEQUENCES WITH APPLICATIONS TO SPREAD SPECTRUM SYSTEMS F. Rodríguez Henríquez (1), Member, IEEE, N. Cruz Cortés (1), Member, IEEE, J.M. Rocha-Pérez (2) Member, IEEE. F. Amaro Sánchez

More information

The Minimum Universal Cost Flow in an Infeasible Flow Network

The Minimum Universal Cost Flow in an Infeasible Flow Network Journal of Scences, Islamc Republc of Iran 17(2): 175-180 (2006) Unversty of Tehran, ISSN 1016-1104 http://jscencesutacr The Mnmum Unversal Cost Flow n an Infeasble Flow Network H Saleh Fathabad * M Bagheran

More information

MAXIMUM A POSTERIORI TRANSDUCTION

MAXIMUM A POSTERIORI TRANSDUCTION MAXIMUM A POSTERIORI TRANSDUCTION LI-WEI WANG, JU-FU FENG School of Mathematcal Scences, Peng Unversty, Bejng, 0087, Chna Center for Informaton Scences, Peng Unversty, Bejng, 0087, Chna E-MIAL: {wanglw,

More information

The Leak Detection of Heating Pipe Based on Multi-Scale Correlation Algorithm of Wavelet

The Leak Detection of Heating Pipe Based on Multi-Scale Correlation Algorithm of Wavelet Sensors & Transducers Vo. 5 Speca Issue December 03 pp. 80-88 Sensors & Transducers 03 by IFSA http://www.sensorsporta.com The Lea Detecton of Heatng Ppe Based on ut-scae Correaton Agorthm of Waeet Xufang

More information

A Dissimilarity Measure Based on Singular Value and Its Application in Incremental Discounting

A Dissimilarity Measure Based on Singular Value and Its Application in Incremental Discounting A Dssmarty Measure Based on Snguar Vaue and Its Appcaton n Incrementa Dscountng KE Xaou Department of Automaton, Unversty of Scence and Technoogy of Chna, Hefe, Chna Ema: kxu@ma.ustc.edu.cn MA Lyao Department

More information

Microwave Diversity Imaging Compression Using Bioinspired

Microwave Diversity Imaging Compression Using Bioinspired Mcrowave Dversty Imagng Compresson Usng Bonspred Neural Networks Youwe Yuan 1, Yong L 1, Wele Xu 1, Janghong Yu * 1 School of Computer Scence and Technology, Hangzhou Danz Unversty, Hangzhou, Zhejang,

More information

An Improved multiple fractal algorithm

An Improved multiple fractal algorithm Advanced Scence and Technology Letters Vol.31 (MulGraB 213), pp.184-188 http://dx.do.org/1.1427/astl.213.31.41 An Improved multple fractal algorthm Yun Ln, Xaochu Xu, Jnfeng Pang College of Informaton

More information

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests Smulated of the Cramér-von Mses Goodness-of-Ft Tests Steele, M., Chaselng, J. and 3 Hurst, C. School of Mathematcal and Physcal Scences, James Cook Unversty, Australan School of Envronmental Studes, Grffth

More information

An Upper Bound on SINR Threshold for Call Admission Control in Multiple-Class CDMA Systems with Imperfect Power-Control

An Upper Bound on SINR Threshold for Call Admission Control in Multiple-Class CDMA Systems with Imperfect Power-Control An Upper Bound on SINR Threshold for Call Admsson Control n Multple-Class CDMA Systems wth Imperfect ower-control Mahmoud El-Sayes MacDonald, Dettwler and Assocates td. (MDA) Toronto, Canada melsayes@hotmal.com

More information

A General Column Generation Algorithm Applied to System Reliability Optimization Problems

A General Column Generation Algorithm Applied to System Reliability Optimization Problems A Genera Coumn Generaton Agorthm Apped to System Reabty Optmzaton Probems Lea Za, Davd W. Cot, Department of Industra and Systems Engneerng, Rutgers Unversty, Pscataway, J 08854, USA Abstract A genera

More information

D hh ν. Four-body charm semileptonic decay. Jim Wiss University of Illinois

D hh ν. Four-body charm semileptonic decay. Jim Wiss University of Illinois Four-body charm semeptonc decay Jm Wss Unversty of Inos D hh ν 1 1. ector domnance. Expected decay ntensty 3. SU(3) apped to D s φν 4. Anaytc forms for form factors 5. Non-parametrc form factors 6. Future

More information

Asymptotic Quantization: A Method for Determining Zador s Constant

Asymptotic Quantization: A Method for Determining Zador s Constant Asymptotc Quantzaton: A Method for Determnng Zador s Constant Joyce Shh Because of the fnte capacty of modern communcaton systems better methods of encodng data are requred. Quantzaton refers to the methods

More information

Problem Set 9 Solutions

Problem Set 9 Solutions Desgn and Analyss of Algorthms May 4, 2015 Massachusetts Insttute of Technology 6.046J/18.410J Profs. Erk Demane, Srn Devadas, and Nancy Lynch Problem Set 9 Solutons Problem Set 9 Solutons Ths problem

More information

An Admission Control Algorithm in Cloud Computing Systems

An Admission Control Algorithm in Cloud Computing Systems An Admsson Control Algorthm n Cloud Computng Systems Authors: Frank Yeong-Sung Ln Department of Informaton Management Natonal Tawan Unversty Tape, Tawan, R.O.C. ysln@m.ntu.edu.tw Yngje Lan Management Scence

More information

2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification

2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification E395 - Pattern Recognton Solutons to Introducton to Pattern Recognton, Chapter : Bayesan pattern classfcaton Preface Ths document s a soluton manual for selected exercses from Introducton to Pattern Recognton

More information

Using Immune Genetic Algorithm to Optimize BP Neural Network and Its Application Peng-fei LIU1,Qun-tai SHEN1 and Jun ZHI2,*

Using Immune Genetic Algorithm to Optimize BP Neural Network and Its Application Peng-fei LIU1,Qun-tai SHEN1 and Jun ZHI2,* Advances n Computer Scence Research (ACRS), volume 54 Internatonal Conference on Computer Networks and Communcaton Technology (CNCT206) Usng Immune Genetc Algorthm to Optmze BP Neural Network and Its Applcaton

More information

A new Approach for Solving Linear Ordinary Differential Equations

A new Approach for Solving Linear Ordinary Differential Equations , ISSN 974-57X (Onlne), ISSN 974-5718 (Prnt), Vol. ; Issue No. 1; Year 14, Copyrght 13-14 by CESER PUBLICATIONS A new Approach for Solvng Lnear Ordnary Dfferental Equatons Fawz Abdelwahd Department of

More information

Department of Electrical & Electronic Engineeing Imperial College London. E4.20 Digital IC Design. Median Filter Project Specification

Department of Electrical & Electronic Engineeing Imperial College London. E4.20 Digital IC Design. Median Filter Project Specification Desgn Project Specfcaton Medan Flter Department of Electrcal & Electronc Engneeng Imperal College London E4.20 Dgtal IC Desgn Medan Flter Project Specfcaton A medan flter s used to remove nose from a sampled

More information

Single-Source/Sink Network Error Correction Is as Hard as Multiple-Unicast

Single-Source/Sink Network Error Correction Is as Hard as Multiple-Unicast Snge-Source/Snk Network Error Correcton Is as Hard as Mutpe-Uncast Wentao Huang and Tracey Ho Department of Eectrca Engneerng Caforna Insttute of Technoogy Pasadena, CA {whuang,tho}@catech.edu Mchae Langberg

More information

Lower bounds for the Crossing Number of the Cartesian Product of a Vertex-transitive Graph with a Cycle

Lower bounds for the Crossing Number of the Cartesian Product of a Vertex-transitive Graph with a Cycle Lower bounds for the Crossng Number of the Cartesan Product of a Vertex-transtve Graph wth a Cyce Junho Won MIT-PRIMES December 4, 013 Abstract. The mnmum number of crossngs for a drawngs of a gven graph

More information

Optimal Guaranteed Cost Control of Linear Uncertain Systems with Input Constraints

Optimal Guaranteed Cost Control of Linear Uncertain Systems with Input Constraints Internatona Journa Optma of Contro, Guaranteed Automaton, Cost Contro and Systems, of Lnear vo Uncertan 3, no Systems 3, pp 397-4, wth Input September Constrants 5 397 Optma Guaranteed Cost Contro of Lnear

More information

Frequency Granger Causality Test in Cointegration System by Wavelet Analysis

Frequency Granger Causality Test in Cointegration System by Wavelet Analysis Proceedngs of the 1th WSEAS Internatona Confenrence on APPLIED MATHEMATICS, Daas, Texas, USA, November 1-3, 6 8 Frequency Granger Causaty Test n Contegraton System by Waveet Anayss Yuan Ja-ha, Zhao Chang-hong,

More information

Encoder and Decoder Optimization for Source-Channel Prediction in Error Resilient Video Transmission

Encoder and Decoder Optimization for Source-Channel Prediction in Error Resilient Video Transmission Encoer an Decoer Optmzaton for Source-Channel Precton n Error Reslent Veo Transmsson Hua Yang an Kenneth Rose Sgnal Compresson Lab ECE Department Unversty of Calforna Santa Barbara, USA Outlne Backgroun

More information

A Lower Bound on SINR Threshold for Call Admission Control in Multiple-Class CDMA Systems with Imperfect Power-Control

A Lower Bound on SINR Threshold for Call Admission Control in Multiple-Class CDMA Systems with Imperfect Power-Control A ower Bound on SIR Threshold for Call Admsson Control n Multple-Class CDMA Systems w Imperfect ower-control Mohamed H. Ahmed Faculty of Engneerng and Appled Scence Memoral Unversty of ewfoundland St.

More information

Solutions to exam in SF1811 Optimization, Jan 14, 2015

Solutions to exam in SF1811 Optimization, Jan 14, 2015 Solutons to exam n SF8 Optmzaton, Jan 4, 25 3 3 O------O -4 \ / \ / The network: \/ where all lnks go from left to rght. /\ / \ / \ 6 O------O -5 2 4.(a) Let x = ( x 3, x 4, x 23, x 24 ) T, where the varable

More information

Cyclic Codes BCH Codes

Cyclic Codes BCH Codes Cycc Codes BCH Codes Gaos Feds GF m A Gaos fed of m eements can be obtaned usng the symbos 0,, á, and the eements beng 0,, á, á, á 3 m,... so that fed F* s cosed under mutpcaton wth m eements. The operator

More information

JOINT ADAPTIVE WAVELET THRESHOLDING AND BIT ALLOCATION FOR DATA COMPRESSION OF NOISY IMAGES

JOINT ADAPTIVE WAVELET THRESHOLDING AND BIT ALLOCATION FOR DATA COMPRESSION OF NOISY IMAGES ONT ADAPTVE WAVELET THRESHOLDNG AND BT ALLOCATON FOR DATA COMPRESSON OF NOS MAGES ur Behtn Department of Automatcs and Contro nformaton Technooges Ryazan State Radoengneerng Unversty Gagarn St. 59/ Ryazan

More information

Resource Allocation with a Budget Constraint for Computing Independent Tasks in the Cloud

Resource Allocation with a Budget Constraint for Computing Independent Tasks in the Cloud Resource Allocaton wth a Budget Constrant for Computng Independent Tasks n the Cloud Wemng Sh and Bo Hong School of Electrcal and Computer Engneerng Georga Insttute of Technology, USA 2nd IEEE Internatonal

More information

Chapter 7 Channel Capacity and Coding

Chapter 7 Channel Capacity and Coding Wreless Informaton Transmsson System Lab. Chapter 7 Channel Capacty and Codng Insttute of Communcatons Engneerng atonal Sun Yat-sen Unversty Contents 7. Channel models and channel capacty 7.. Channel models

More information

A New Modified Gaussian Mixture Model for Color-Texture Segmentation

A New Modified Gaussian Mixture Model for Color-Texture Segmentation Journa of Computer Scence 7 (): 79-83, 0 ISSN 549-3636 0 Scence Pubcatons A New Modfed Gaussan Mxture Mode for Coor-Texture Segmentaton M. Sujartha and S. Annadura Department of Computer Scence and Engneerng,

More information

FFT Based Spectrum Analysis of Three Phase Signals in Park (d-q) Plane

FFT Based Spectrum Analysis of Three Phase Signals in Park (d-q) Plane Proceedngs of the 00 Internatonal Conference on Industral Engneerng and Operatons Management Dhaka, Bangladesh, January 9 0, 00 FFT Based Spectrum Analyss of Three Phase Sgnals n Park (d-q) Plane Anuradha

More information

IMAGE QUALITY MEASURES FOR WAVELET-BASED COMPRESSION ALGORITHMS

IMAGE QUALITY MEASURES FOR WAVELET-BASED COMPRESSION ALGORITHMS IMAGE QUALITY MEASURES FOR WAVELET-BASED COMPRESSIO ALGORITHMS. Ilushkna, O. Avdeev Moscow Power Engneerng Unverst, Department Of Electrophscs Moscow, Kransokazarmennaa 4, avs@lst.ru, oavdeev@acm.org ABSTRACT

More information

Unified Subspace Analysis for Face Recognition

Unified Subspace Analysis for Face Recognition Unfed Subspace Analyss for Face Recognton Xaogang Wang and Xaoou Tang Department of Informaton Engneerng The Chnese Unversty of Hong Kong Shatn, Hong Kong {xgwang, xtang}@e.cuhk.edu.hk Abstract PCA, LDA

More information

Cluster Validation Determining Number of Clusters. Umut ORHAN, PhD.

Cluster Validation Determining Number of Clusters. Umut ORHAN, PhD. Cluster Analyss Cluster Valdaton Determnng Number of Clusters 1 Cluster Valdaton The procedure of evaluatng the results of a clusterng algorthm s known under the term cluster valdty. How do we evaluate

More information

DPCM Compression for Real-Time Logging While Drilling Data

DPCM Compression for Real-Time Logging While Drilling Data 28 JOURAL OF SOFTWARE, VOL. 5, O. 3, MARCH 21 DPCM Compresson for Real-Tme Loggng Whle Drllng Data Yu Zhang Modern Sgnal Processng & Communcaton Group, Insttute of Informaton Scence, Bejng Jaotong Unversty,

More information

Performance of SDMA Systems Using Transmitter Preprocessing Based on Noisy Feedback of Vector-Quantized Channel Impulse Responses

Performance of SDMA Systems Using Transmitter Preprocessing Based on Noisy Feedback of Vector-Quantized Channel Impulse Responses Performance of SDMA Systems Usng Transmtter Preprocessng Based on Nosy Feedback of Vector-Quantzed Channe Impuse Responses Du Yang, Le-Lang Yang and Lajos Hanzo Schoo of ECS, Unversty of Southampton, SO7

More information

ON AUTOMATIC CONTINUITY OF DERIVATIONS FOR BANACH ALGEBRAS WITH INVOLUTION

ON AUTOMATIC CONTINUITY OF DERIVATIONS FOR BANACH ALGEBRAS WITH INVOLUTION European Journa of Mathematcs and Computer Scence Vo. No. 1, 2017 ON AUTOMATC CONTNUTY OF DERVATONS FOR BANACH ALGEBRAS WTH NVOLUTON Mohamed BELAM & Youssef T DL MATC Laboratory Hassan Unversty MORO CCO

More information

Curve Fitting with the Least Square Method

Curve Fitting with the Least Square Method WIKI Document Number 5 Interpolaton wth Least Squares Curve Fttng wth the Least Square Method Mattheu Bultelle Department of Bo-Engneerng Imperal College, London Context We wsh to model the postve feedback

More information

RSA /2002/13(08) , ); , ) RSA RSA : RSA RSA [2] , [1,4]

RSA /2002/13(08) , ); , )     RSA RSA : RSA RSA [2] , [1,4] 1000-9825/2002/13(081729-06 2002 Journal of Software Vol13, No8 RSA 1,2 1, 1 (, 200433; 2 (, 200070 E-mal: yfhu@fudaneducn http://wwwfudaneducn : RSA RSA :, ; RSA,,, RSA,, : ; RSA ; ;RSA; : TP309 : A RSA

More information

CONTRAST ENHANCEMENT FOR MIMIMUM MEAN BRIGHTNESS ERROR FROM HISTOGRAM PARTITIONING INTRODUCTION

CONTRAST ENHANCEMENT FOR MIMIMUM MEAN BRIGHTNESS ERROR FROM HISTOGRAM PARTITIONING INTRODUCTION CONTRAST ENHANCEMENT FOR MIMIMUM MEAN BRIGHTNESS ERROR FROM HISTOGRAM PARTITIONING N. Phanthuna 1,2, F. Cheevasuvt 2 and S. Chtwong 2 1 Department of Electrcal Engneerng, Faculty of Engneerng Rajamangala

More information

Audio Watermarking Using Wavelet Transform and Genetic Algorithm for Realizing High Tolerance to MP3 Compression

Audio Watermarking Using Wavelet Transform and Genetic Algorithm for Realizing High Tolerance to MP3 Compression Journal of Informaton Securty, 2011, 2, 99-112 do:10.4236/js.2011.23010 Publshed Onlne July 2011 (http://www.scrp.org/journal/js) Audo Watermarkng Usng Wavelet Transform and Genetc Algorthm for Realzng

More information

ECE559VV Project Report

ECE559VV Project Report ECE559VV Project Report (Supplementary Notes Loc Xuan Bu I. MAX SUM-RATE SCHEDULING: THE UPLINK CASE We have seen (n the presentaton that, for downlnk (broadcast channels, the strategy maxmzng the sum-rate

More information

Downlink Power Allocation for CoMP-NOMA in Multi-Cell Networks

Downlink Power Allocation for CoMP-NOMA in Multi-Cell Networks Downn Power Aocaton for CoMP-NOMA n Mut-Ce Networs Md Shpon A, Eram Hossan, Arafat A-Dwe, and Dong In Km arxv:80.0498v [eess.sp] 6 Dec 207 Abstract Ths wor consders the probem of dynamc power aocaton n

More information

Tracking with Kalman Filter

Tracking with Kalman Filter Trackng wth Kalman Flter Scott T. Acton Vrgna Image and Vdeo Analyss (VIVA), Charles L. Brown Department of Electrcal and Computer Engneerng Department of Bomedcal Engneerng Unversty of Vrgna, Charlottesvlle,

More information

Direct Inter-Mode Selection for H.264 Video Coding using Phase Correlation

Direct Inter-Mode Selection for H.264 Video Coding using Phase Correlation Drect Inter-Mode Selecton for H.64 Vdeo Codng usng Phase Correlaton Manoranjan Paul, Member, IEEE, Wes Ln, Senor member, IEEE, Chew Tong Lau, Member, IEEE, and Bu-sung Lee, Member, IEEE Abstract The H.64

More information

Hongyi Miao, College of Science, Nanjing Forestry University, Nanjing ,China. (Received 20 June 2013, accepted 11 March 2014) I)ϕ (k)

Hongyi Miao, College of Science, Nanjing Forestry University, Nanjing ,China. (Received 20 June 2013, accepted 11 March 2014) I)ϕ (k) ISSN 1749-3889 (prnt), 1749-3897 (onlne) Internatonal Journal of Nonlnear Scence Vol.17(2014) No.2,pp.188-192 Modfed Block Jacob-Davdson Method for Solvng Large Sparse Egenproblems Hongy Mao, College of

More information