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Advances in Multimedia Information Processing - PCM 2016 - 17th Pacific-Rim Conference on Multimedia, Xi an, China, September... 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
R3,372 Discovery Miles 33 720 Ships in 10 - 15 working days

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.

Advances in Multimedia Information Processing - PCM  2016 - 17th Pacific-Rim Conference on Multimedia, Xi an, China, September... 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
R1,705 Discovery Miles 17 050 Ships in 10 - 15 working days

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.

Human emotional state recognition using 3D facial expression features (Paperback): Yun Tie, Ling Guan Human emotional state recognition using 3D facial expression features (Paperback)
Yun Tie, Ling Guan
R1,551 Discovery Miles 15 510 Ships in 10 - 15 working days

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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