Read e-book online Advances in Multimedia Information Processing - PCM 2010: PDF

By Qi Wang, Dongming Lu, Hongxin Zhang (auth.), Guoping Qiu, Kin Man Lam, Hitoshi Kiya, Xiang-Yang Xue, C.-C. Jay Kuo, Michael S. Lew (eds.)

ISBN-10: 3642157017

ISBN-13: 9783642157011

The 2010 Pacific-Rim convention on Multimedia (PCM 2010) was once held in Shanghai at Fudan collage, in the course of September 21–24, 2010. considering that its inauguration in 2000, PCM has been held in numerous locations round the Pacific Rim, particularly Sydney (PCM 2000), Beijing (PCM 2001), Hsinchu (PCM 2002), Singapore (PCM 2003), Tokyo (PCM 2004), Jeju (PCM 2005), Zhejiang (PCM 2006), Hong Kong (PCM 2007), Tainan (PCM 2008), and Bangkok (PCM 2009). PCM is a tremendous annual foreign convention equipped as a discussion board for the dissemination of cutting-edge technological advances and learn ends up in the fields of theoretical, experimental, and utilized multimedia research and processing. PCM 2010 featured a entire technical software which integrated seventy five oral and fifty six poster displays chosen from 261 submissions from Australia, Canada, China, France, Germany, Hong Kong, India, Iran, Italy, Japan, Korea, Myanmar, Norway, Singapore, Taiwan, Thailand, the united kingdom, and the united states. 3 amazing researchers, Prof. Zhi-Hua Zhou from Nanjing college, Dr. Yong Rui from Microsoft, and Dr. Tie-Yan Liu from Microsoft study Asia brought 3 keynote talks to the convention. we're very thankful to the various those who helped to make this convention a s- cess. we wish to particularly thank Hong Lu for neighborhood association, Qi Zhang for dealing with the booklet of the complaints, and Cheng Jin for taking care of the c- ference site and exposure. We thank Fei Wu for organizing the particular consultation on large-scale multimedia seek within the social community settings.

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Read Online or Download Advances in Multimedia Information Processing - PCM 2010: 11th Pacific Rim Conference on Multimedia, Shanghai, China, September 21-24, 2010, Proceedings, Part I PDF

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MIT Press, Cambridge (1998) 7. : Color restoration and image retrieval for dunhuang fresco preservation. IEEE MultiMedia 7(2), 38–42 (2000) 8. : Object class recognition using images of abstract regions. In: International Conference on Pattern Recognition, pp. 40–43. IEEE Press, Washington (2004) 9. : Image and semantic feature based dunhuang mural retrieval. Chinese Journal of Computers 21(11), 1022–1026 (1998) (in Chinese) 10. : A unified framework for semantics and feature based relevance feedback in image retrieval systems.

We aim to build a general arousal/valence model in order to estimate MV affective content which can represent most people’s feelings and Table 1. AS and VS options and descriptions AS 0 1 2 3 Description Very calm A little calm A little exciting Exciting VS 0 1 2 3 Description Unpleasant A little unpleasant A little pleasant Very pleasant Correlation-Based Feature Selection and Regression Training MV Testing MV Training MV Feature extraction CFS 27 Arousal regression Arousal AS feature subset Prediction f ( FA ) AS Valence feature VS subset Prediction f ( FV ) VS Feature extraction Feature extraction CFS Valence regression Fig.

2) Radiusupper (α1 , β1 ) and Radiuslower (α2 , β2 ): the major and the minor radii of the two ellipses, which are set to fit body measurements of the 3D model. (3) Centerupper (x1 , y1 , z1 ) and Centerlower (x2 , y2 , z2 ): the center of each ellipse. The two values are set to the skeleton points of the 3D model. Primitive Approximation. We propose a coarse-to-fine iterative approximation method, which approximates the original shape with a minimum number of primitives first and then adds more primitives iteratively to produce a finer result until the budget is met.

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Advances in Multimedia Information Processing - PCM 2010: 11th Pacific Rim Conference on Multimedia, Shanghai, China, September 21-24, 2010, Proceedings, Part I by Qi Wang, Dongming Lu, Hongxin Zhang (auth.), Guoping Qiu, Kin Man Lam, Hitoshi Kiya, Xiang-Yang Xue, C.-C. Jay Kuo, Michael S. Lew (eds.)


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