DocumentCode :
1881463
Title :
Reduced complexity spatio-temporal scalable motion compensated wavelet video encoding
Author :
Turaga, Deepak S. ; Van der Schaar, Mihaela
Author_Institution :
Wireless Commun. & Networking, Philips Res. USA, Briarcliff Manor, NY, USA
Volume :
2
fYear :
2003
fDate :
6-9 July 2003
Abstract :
Motion compensated wavelet (MC-Wavelet) video coding provides high coding efficiency and robustness along with spatio-temporal-SNR-complexity scalability. Such schemes use a multi-resolution motion compensated temporal filtering (MCTF) decomposition along with the spatial wavelet transform to remove video redundancy. These multi-resolution transforms partition the spatio-temporal sequence-volume into regions corresponding to desired spatial and temporal resolutions. In this paper, we present a novel method for reducing the motion estimation complexity in MC wavelet coders by selecting adaptively different spatio-temporal decomposition structures and temporal motion vector prediction schemes. We present results to highlight the reduction in encoder complexity.
Keywords :
computational complexity; image resolution; motion compensation; video coding; wavelet transforms; coding efficiency; encoder complexity; motion compensated wavelet; motion estimation complexity; multiresolution motion compensated temporal filtering; multiresolution transforms; spatial wavelet transform; spatio-temporal decomposition structures; spatio-temporal sequence-volume; spatio-temporal-SNR-complexity scalability; temporal motion vector prediction; video encoding; video redundancy; Computational complexity; Encoding; Filtering; Frequency; Robustness; Scalability; Spatial resolution; Video coding; Wavelet transforms; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7965-9
Type :
conf
DOI :
10.1109/ICME.2003.1221678
Filename :
1221678
Link To Document :
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