Ling Shao, Hui Zhang, Yan Liu (auth.), Kuo-Tien Lee,'s Advances in Multimedia Modeling: 17th International PDF

By Ling Shao, Hui Zhang, Yan Liu (auth.), Kuo-Tien Lee, Wen-Hsiang Tsai, Hong-Yuan Mark Liao, Tsuhan Chen, Jun-Wei Hsieh, Chien-Cheng Tseng (eds.)

ISBN-10: 3642178316

ISBN-13: 9783642178313

This two-volume lawsuits constitutes the refereed papers of the seventeenth foreign Multimedia Modeling convention, MMM 2011, held in Taipei, Taiwan, in January 2011. The fifty one revised commonplace papers, 25 specified consultation papers, 21 poster consultation papers, and three demo consultation papers, have been rigorously reviewed and chosen from 450 submissions. The papers are prepared in topical sections on audio, photo video processing, coding and compression; media content material searching and retrieval; multi-camera, multi-view, and 3D structures; multimedia indexing and mining; multimedia content material research; multimedia sign processing and communications; and multimedia functions. The specific consultation papers take care of content material research for human-centered multimedia functions; huge scale wealthy media facts administration; multimedia knowing for patron electronics; snapshot item acceptance and compression; and interactive snapshot and video search.

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Extra resources for Advances in Multimedia Modeling: 17th International Multimedia Modeling Conference, MMM 2011, Taipei, Taiwan, January 5-7, 2011, Proceedings, Part I

Example text

Adaptive basic unit layer rate control for JVT. JVT-G012 (2003) 7. : Lexicographic bit allocation for MPEG video. Journal of Visual Communication and Image Representation 8, 384–404 (1997) 8. : A new perceptual quality metric for compressed video. In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 933–936 (2009) 9. : What’s wrong with mean-squared error. In: Digital Images and Human Vision. MIT Press, Cambridge (1993) 10. : A perceptually motivated three-component image model – Part 1: Description of the model.

John Wiley & Sons, Chichester (2004) 3. 264/ AVC Video Coding Standard. IEEE Transactions on Circuits and Systems for Video Technology 13(7), 560–576 (2003) 4. 264/AVC Intra-frame Coder. IEEE Transactions on Circuits and Systems for Video Technology 15(3), 378–401 (2005) 5. 264/AVC Video Coding. IEEE Transactions on Circuits and Systems for Video Technology 15(7), 813–822 (2005) 6. 264. IEEE ISCAS 2, 1509–1512 (2005) 7. 264/AVC Intra Prediction. IEEE Transactions on Circuits and Systems for Video Technology 17(10), 1414–1422 (2007) 8.

Obviously, this will lead to more serious quality fluctuation, although it may have better result in PSNR. 2 Distortion Model Since PSNR/MSE is not good for subjective quality evaluation, we need a new one to replace it. In [8], an MOSp metric was proposed to give a weighted parameter to MSE in order to get more precise evaluation result. It is based on an obvious theory that visibility of artefacts in highly detailed regions is lower than in low detailed regions. The weighted parameter is based on the texture complexity of image content.

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Advances in Multimedia Modeling: 17th International Multimedia Modeling Conference, MMM 2011, Taipei, Taiwan, January 5-7, 2011, Proceedings, Part I by Ling Shao, Hui Zhang, Yan Liu (auth.), Kuo-Tien Lee, Wen-Hsiang Tsai, Hong-Yuan Mark Liao, Tsuhan Chen, Jun-Wei Hsieh, Chien-Cheng Tseng (eds.)


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