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On the Detection and Localization of Facial Occlusions and its Use within Different Scenarios
Citation key 1152Goldmann2008
Author Lutz Goldmann and Antonio Rama and Thomas Sikora and Francesc Tarres
Title of Book IEEE 10th International Workshop on Multimedia Signal Processing, MMSP 8-10 October 2008, Proceedings, Cairns, Australia
Pages 592–597
Year 2008
Address Australia
Month oct
Note ISBN 978-1-4244-2295-1
Editor David Feng, Thomas Sikora, W. C. Siu, Jian Zhang, Ling Guan, Jean Luc Dugelay, Qiang Wu, Wanqing Li
Publisher IEEE
Organization IEEE MMSP
Abstract In recent years advanced video codecs have been developed, such as standardized in MPEG-4. The latest video codec H.264/AVC provides compression performance superior to previous standards, but is based on the same basic motioncompensated-DCT architecture. However, for certain types of video, it has been shown that it is possible to outperform the H.264/AVC using an object-based video codec. Towards a general-purpose object-based video coding system we present an automated approach to separate a video sequences into subsequences regarding its camera motion type. Then, the subsequences are coded either with an object-based codec or the common H.264/AVC. Applying different video codecs for different kinds of camera motion, we achieve a higher overall coding gain for the video sequence. In first experimental evaluations, we demonstrate the excellence performance of this approach on two test sequences.
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