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Advances in Multimedia Information Processing - PCM 2016 - 17th Pacific-Rim Conference on Multimedia, Xi an, China, September 15-16, 2016, Proceedings, Part II (Paperback, 1st ed. 2016)
Enqing Chen, Yihong Gong, Yun Tie
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R1,642
Discovery Miles 16 420
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Out of stock
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The two-volume proceedings LNCS 9916 and 9917, constitute the
proceedings of the 17th Pacific-Rim Conference on Multimedia, PCM
2016, held in Xi`an, China, in September 2016. The total of 128
papers presented in these proceedings was carefully reviewed and
selected from 202 submissions. The focus of the conference was as
follows in multimedia content analysis, multimedia signal
processing and communications, and multimedia applications and
services.
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Advances in Multimedia Information Processing - PCM 2016 - 17th Pacific-Rim Conference on Multimedia, Xi an, China, September 15-16, 2016, Proceedings, Part I (Paperback, 1st ed. 2016)
Enqing Chen, Yihong Gong, Yun Tie
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R2,304
Discovery Miles 23 040
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Out of stock
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The two-volume proceedings LNCS 9916 and 9917, constitute the
proceedings of the 17th Pacific-Rim Conference on Multimedia, PCM
2016, held in Xi`an, China, in September 2016. The total of 128
papers presented in these proceedings was carefully reviewed and
selected from 202 submissions. The focus of the conference was as
follows in multimedia content analysis, multimedia signal
processing and communications, and multimedia applications and
services.
In recent years there has been a growing interest in improving all
aspects of the interaction between human and computers. Emotion
recognition is a new technique based on affective computing that is
expected to significantly improve the quality of human-computer
interaction system and communications. Most existing works address
this problem using 2D features, but they are sensitive to head
pose, clutter, and variations in lighting conditions. In light of
such problems, two 3D visual feature based approaches are
presented, the 3D Gabor feature and the 3D elastic body spline
features from video sequences. The most significant contributions
of this work are detecting and tracking fiducial points
automatically from video sequences to construct a generic 3D face
model, and the introduction of EBS deformation features for emotion
recognition. These methods open a new research direction for human
computer communication with applications to security systems, the
intelligent home, a learning environment, and educational software.
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