Online ISSN:1349-8606
Progress in Informatics  
No.11 March 2014  
Page 31-39 PDF(983KB) | References
Scalable approaches for content based video retrieval
Thanh DUC NGO1, Duy DINH LE2 and Shin'ichi SATOH3
1The Graduate University for Advanced Studies (SOKENDAI)
2,3National Institute of Informatics
(Received: November 7,2013)
(Revised: )
(Accepted: November 29,2013)
This paper addresses content based video retrieval. First, we present an overview of a video retrieval framework and related approaches. Second, we consider two important applications of video retrieval nowadays which are video retrieval based on human face and video retrieval based on generic object categories. The goal is to develop approaches which require lowest annotation cost or computational cost while achieving competitive accuracy so that they can facilitate building scalable and comprehensive video retrieval systems.
Content-based video retrieval, scalable approaches, video mining
PDF(983KB) | References

National Institute of Informatics is a member of CrossRef.
Go back HOME