DocumentCode :
431538
Title :
Key-frame extraction for Object-based Video Segmentation
Author :
Song, Xiaomu ; Fan, Guoliang
Author_Institution :
Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
Volume :
2
fYear :
2005
fDate :
March 18-23, 2005
Firstpage :
689
Lastpage :
692
Keywords :
feature extraction; image representation; image segmentation; video signal processing; cluster divergence maximization; feature selection process; frame object marginal divergence; key-frame extraction; object maximum pairwise interclass divergence; object-based video segmentation; unified feature space; video frame representation; visual object representation; Data mining; Degradation; Engineering profession; Linear approximation; Motion estimation; Object segmentation; Robustness; Video sharing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415498
Filename :
1415498
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=431538
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