DocumentCode :
2833713
Title :
Partitioning of video objects into temporal segments using local motion information
Author :
Erol, Bema ; Kossentini, Faouzi
Author_Institution :
Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
945
Abstract :
We propose an algorithm to partition MPEG-4 video objects into temporal segments with uniform activity levels. These segments can be used for efficient summarization of video objects and/or retrieval of video objects by their motion. The proposed algorithm is based on the shape and texture coding modes of inter coded video object planes. Because the employed filtering techniques are simple and full decoding of the MPEG-4 bitstream is not required, the algorithm is computationally efficient
Keywords :
data compression; decoding; filtering theory; image motion analysis; image retrieval; image segmentation; video coding; video databases; MPEG-4 video objects; computationally efficient algorithm; filtering techniques; inter-coded video object planes; local motion information; shape coding; temporal segments; texture coding; uniform activity levels; video coding; video objects partitioning; video objects retrieval; video objects summarization; Discrete cosine transforms; Layout; MPEG 4 Standard; Motion detection; Object detection; Shape; Transform coding; Video coding; Video compression; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
ISSN :
1522-4880
Print_ISBN :
0-7803-6297-7
Type :
conf
DOI :
10.1109/ICIP.2000.899613
Filename :
899613
Link To Document :
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