By Qiong Liu, You Yang, Xu Wang, Liujuan Cao (auth.), Shipeng Li, Abdulmotaleb El Saddik, Meng Wang, Tao Mei, Nicu Sebe, Shuicheng Yan, Richang Hong, Cathal Gurrin (eds.)
The two-volume set LNCS 7732 and 7733 constitutes the completely refereed complaints of the nineteenth foreign convention on Multimedia Modeling, MMM 2012, held in Huangshan, China, in January 2013.
The 30 revised common papers, forty six distinctive consultation papers, 20 poster consultation papers, and 15 demo consultation papers, and six video browser showdown have been rigorously reviewed and chosen from numeroues submissions. the 2 volumes include papers offered within the topical sections on multimedia annotation I and II, interactive and cellular multimedia, category, acceptance and monitoring I and II, score in seek, multimedia illustration, multimedia structures, poster papers, detailed consultation papers, demo consultation papers, and video browser showdown.
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Additional resources for Advances in Multimedia Modeling: 19th International Conference, MMM 2013, Huangshan, China, January 7-9, 2013, Proceedings, Part II
4 Q. Liu et al. Fig. 1. Dimensions of user generated image quality assessment. The score for each dimension is normed between [0,1], and the scores will be pooled and normed to obtain the ﬁnal score of the user generated image quality. (4) Accessibility. Only when the retrievable image can be fetched easily and smoothly, the quality of this image is meaningful to the end-user. As shown by Figure 1, the aforementioned attributes are important for UGI quality assessment, and are proposed to be the four dimensions to form the framework of quality assessment.
No-reference perceptual quality assessment of jpeg compressed images. In: 2002 International Conference on Image Processing, vol. 1, pp. I–477 – I–480 (2002) 34. : A statistical evaluation of recent full reference image quality assessment algorithms. IEEE Transactions on Image Processing 15(11), 3440–3451 (2006) 35. : Opinion mining and sentiment analysis. , Ceri, S. ) Web Data Mining. Data-Centric Systems and Applications, pp. 459–526. Springer, Heidelberg (2011) 36. Methodology for the subjective assessment of the quality of television pictures.
Fig. 8 is mean rate/distortion in terms of bit-rate (2552 /QY ) vs PSNR, which is deﬁned as 10 · Log10 . 2kbit/s, and our system is superior to  in rate/distortion at all bit-rates. 2D/3D Model-Based Facial Video Coding/Decoding at Ultra-Low Bit-Rate 21 Table 4. 8 Fig. 8. 264 are performed at 3,5,7 kbit/s, then participants compare avatar in decoded videos with human being in input videos, and complete the questionnaire. Table 5 is the mean scores, and the range is 0-10. Our system obtains the highest scores, indicating that it has more suitability of subjective face identiﬁcation at ultra-low bit-rate.
Advances in Multimedia Modeling: 19th International Conference, MMM 2013, Huangshan, China, January 7-9, 2013, Proceedings, Part II by Qiong Liu, You Yang, Xu Wang, Liujuan Cao (auth.), Shipeng Li, Abdulmotaleb El Saddik, Meng Wang, Tao Mei, Nicu Sebe, Shuicheng Yan, Richang Hong, Cathal Gurrin (eds.)