@INPROCEEDINGS{1170Krutz2008, AUTHOR = {Andreas Krutz and Sebastian Knorr and Matthias Kunter and Thomas Sikora}, TITLE = {Camera Motion-Constraint Video Codec Selection}, 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 = {58--63}, ORGANIZATION = {IEEE MMSP}, ADDRESS = {Cairns, Queensland, Australia}, NOTE = {invited paper, Special Session on Global Motion Estimation and Mosaicing for Applications in Video Analysis and Coding ; ISBN 978-1-4244-2295-1}, PDF = {http://elvera.nue.tu-berlin.de/files/1170Krutz2008.pdf}, 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 motion compensated -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.} }