DocumentCode :
1801833
Title :
Approximate Video Search Based on Spatio-Temporal Information of Video Objects
Author :
Lin, Chia-Han ; Chen, Arbee L P
Author_Institution :
Asia University, Taiwan
fYear :
2006
fDate :
2006
Firstpage :
13
Lastpage :
13
Abstract :
The spatio-temporal information of a video object is important for content-based video retrieval. In this paper, the spatio-temporal information of a video object, such as the velocity, location and orientation of a video object, is represented by an ST-string. Since the user may not be interested in all spatio-temporal information, the user query can be represented by a QST-string which contains some spatio-temporal information only, such as the velocity and orientation of a video object. Therefore, the video retrieval problem can be transformed into the problem of approximately matching a QST-string with ST-strings. A general solution is proposed in this paper, which includes a similarity measure, an index structure and the corresponding matching methodology. The experiment results show that both the approximate and exact results can be found efficiently via the proposed index structure and the matching algorithm.
Keywords :
Asia; Computer science; Content based retrieval; Data models; Distributed computing; Image sequences; Indexing; Information retrieval; Internet; Query processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering Workshops, 2006. Proceedings. 22nd International Conference on
Conference_Location :
Atlanta, GA, USA
Print_ISBN :
0-7695-2571-7
Type :
conf
DOI :
10.1109/ICDEW.2006.32
Filename :
1623808
Link To Document :
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