@INPROCEEDINGS{1152Goldmann2008, AUTHOR = {Lutz Goldmann and Antonio Rama and Thomas Sikora and Francesc Tarres}, TITLE = {On the Detection and Localization of Facial Occlusions and its Use within Different Scenarios}, BOOKTITLE = {IEEE 10th International Workshop on Multimedia Signal Processing, MMSP 8-10 October 2008, Proceedings, Cairns, Australia}, YEAR = {2008}, MONTH = oct, EDITOR = {David Feng, Thomas Sikora, W. C. Siu, Jian Zhang, Ling Guan, Jean Luc Dugelay, Qiang Wu, Wanqing Li}, PUBLISHER = {IEEE}, PAGES = {592--597}, ORGANIZATION = {IEEE MMSP}, ADDRESS = {Australia}, NOTE = {ISBN 978-1-4244-2295-1}, PDF = {http://elvera.nue.tu-berlin.de/files/1152Goldmann2008.pdf}, URL = {http://www.mmsp08.org/}, 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.} }