Read e-book online Advances in Multimedia Information Processing - PCM 2006: PDF

By Selma Yilmazyildiz, Wesley Mattheyses (auth.), Yueting Zhuang, Shi-Qiang Yang, Yong Rui, Qinming He (eds.)

ISBN-10: 3540487662

ISBN-13: 9783540487661

Welcome to the lawsuits of the seventh Paci?c-Rim convention on Multimedia (PCM2006)heldatZhejiang University,Hangzhou,China,November2-4,2006. Following the luck of the former meetings, PCM 2000 in Sydney, PCM 2001 in Beijing, PCM 2002 in Hsinchu, PCM 2003 in Singapore, PCM 2004 in Tokyo, and PCM 2005 in Jeju, PCM 2006 back introduced jointly researchers, builders, practitioners, and educators within the ?eld of multimedia from worldwide. either theoretical breakthroughs and sensible platforms have been offered on the convention. there have been periods from multimedia retrieval to multimedia coding to multimedia security,coveringa broad spectrum of multimedia study. PCM2006featuredacomprehensiveprogramincludingkeynotetalks,regular paper displays, and specific periods. We acquired 755 submissions and the quantity was once the biggest between the entire PCMs. From one of these huge variety of submissions,weacceptedonly116oralpresentations.Wekindlyacknowledgethe nice help supplied by means of this system Committee individuals within the reviewing of submissions, in addition to the extra reviewers who generously spent many hours. the various important reviews supplied through the reviewing method are very helpful to authors’ present and destiny research.

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Additional resources for Advances in Multimedia Information Processing - PCM 2006: 7th Pacific Rim Conference on Multimedia, Hangzhou, China, November 2-4, 2006. Proceedings

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Moreover, incorporating an illumination model into the tracking equations enables us to cope with potentially distracting illumination changes. f. f. distance minimization transformation parameters Fig. 1. Tracking algorithm 2D Lip Contour Extraction. The contour of the lips is obtained through the Bayesian Tangent Shape Model (BTSM) [10]. Figure 2 shows several successful results of the lip contour extraction. 22 I. Ravyse et al. Fig. 2. Face detection/tracking and lip contour extraction The lip contour is used to estimate a visual feature vector consisting of the mouth opening measures shown in Figure 3.

Bayesian tangent shape model: Estimating shape and pose parameters via bayesian inference. In: Proceedings of the 2003 IEEE Conference on Computer Vision and Pattern Recognition(CVPR2003). Volume 1. (2003) 109–118 11. : Facial Analysis and Synthesis. PhD thesis, Vrije Universiteit Brussel, Dept. pdf. 12. : Three-dimensional scene flow. IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (2005) 137–154 13. : Constructing physicsbased facial models of individuals. In: Proceedings of the Graphics Interface ’93 Conference, Toronto, ON, Canada.

2 The Framework of the Extensive Detection Method As the Fig 2, is procedure of extensive images digital watermarking detection, the method has three steps: classifying images and templates; extracting and combining feature parameters of them; using some detecting strategies on those parameters to detect the watermark, and integrating the results. Type of the Parameters of the Template template Extract the Feature template Classifying Parameters Type of the Parameters Parameters of the Image image Extract the Feature image Parameters group Classifying Parameters Combining Whether the hidden Unitary correlate detecting All results Results information exists integrating Detecting strategies Fig.

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Advances in Multimedia Information Processing - PCM 2006: 7th Pacific Rim Conference on Multimedia, Hangzhou, China, November 2-4, 2006. Proceedings by Selma Yilmazyildiz, Wesley Mattheyses (auth.), Yueting Zhuang, Shi-Qiang Yang, Yong Rui, Qinming He (eds.)


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