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 lawsuits of the nineteenth overseas convention on Multimedia Modeling, MMM 2012, held in Huangshan, China, in January 2013.
The 30 revised ordinary papers, forty six targeted consultation papers, 20 poster consultation papers, and 15 demo consultation papers, and six video browser showdown have been conscientiously reviewed and chosen from numeroues submissions. the 2 volumes comprise papers awarded within the topical sections on multimedia annotation I and II, interactive and cellular multimedia, category, popularity and monitoring I and II, score in seek, multimedia illustration, multimedia structures, poster papers, distinct consultation papers, demo consultation papers, and video browser showdown.
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Additional info for Advances in Multimedia Modeling: 19th International Conference, MMM 2013, Huangshan, China, January 7-9, 2013, Proceedings, Part II
B) Alice in decoder. (c) Hair model in decoder. In decoder, we use Alice model(ﬁg. 1(b)) including skin, eyes, teeth, etc. Especially, hair model(ﬁg. 1(c)) is added to increase reality. Facial model adaptation is applied to reconstruct an individual model by deforming a generic model with the ﬁrst frame containing frontal face as follows. In encoder: 1)facial feature points are got by AAM; 2)global motion parameters are got by several feature points; 3)displacements of dominance vertices are got by least square ﬁtting of all feature points; 4)displacements of other vertices are got by radial based interpolation(RBF).
I recognized avatars expressions 2. Avatars movements looked natural 1. I liked avatars appearance Appearance 2. 59 Conclusion In this paper, a 2D/3D mixed facial coding/decoding system is proposed. The objective experiment proved it has better rate/distortion performance at ultra-low bit-rate. The between subjects experiment indicated the suitability of subjective face identiﬁcation at ultra-low bit-rate. The further research directions are: an animation framework including bone, muscle, skin will be established.
The core structure of data quality assessment is the dimension design for ﬁtness measurement . This dimension structure will be helpful for the research of UGI quality assessment. g. people or groups) they had not yet considered, using a model built from the characteristics of an item (content-based approaches) or the user’s social environment [30, 31]. Actually, recommender system is a retrieval system with user speciﬁcations. The speciﬁcations, such as the favorite type of goods, selection habit, location and other useful information, can be obtained by historical purchase data of this registered user.