A concept-based video retrieval model with spatio-temporal fuzzy triples

2002 ◽  
Author(s):  
Seon-Ho Jeong ◽  
Jae-Hun Choi ◽  
Jae-Dong Yang
Keyword(s):  
Video Retrieval ◽  
Retrieval Model ◽  
Spatio Temporal

State-of-the-art on spatio-temporal information-based video retrieval

2009 ◽  
Vol 42 (2) ◽  
pp. 267-282 ◽  
Author(s):  
W. Ren ◽  
S. Singh ◽  
M. Singh ◽  
Y.S. Zhu
Keyword(s):  
Video Retrieval ◽  
State Of The Art ◽  
Temporal Information ◽  
Spatio Temporal

INTEGRATION OF COLOR AND MOTION FEATURES FOR VIDEO RETRIEVAL

2009 ◽  
Vol 23 (02) ◽  
pp. 313-329 ◽  
Author(s):  
LIANG-HUA CHEN ◽  
KUO-HAO CHIN ◽  
HONG-YUAN MARK LIAO
Keyword(s):  
Visual Cues ◽  
Video Retrieval ◽  
Retrieval Algorithm ◽  
Compact Representation ◽  
Key Frame ◽  
Video Clips ◽  
Video Shot ◽  
Motion Features ◽  
Spatio Temporal ◽  
Video Matching

The usefulness of a video database depends on whether the video of interest can be easily located. In this paper, we propose a video retrieval algorithm based on the integration of several visual cues. In contrast to key-frame based representation of shot, our approach analyzes all frames within a shot to construct a compact representation of video shot. In the video matching step, by integrating the color and motion features, a similarity measure is defined to locate the occurrence of similar video clips in the database. Therefore, our approach is able to fully exploit the spatio-temporal information contained in video. Experimental results indicate that the proposed approach is effective and outperforms some existing technique.

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