International Journal of Computational Intelligence Systems

Volume 2, Issue 1, March 2009, Pages 39 - 50

Video Classification and Shot Detection for Video Retrieval Applications

Authors
M. Kalaiselvi Geetha, S. Palanivel
Corresponding Author
M. Kalaiselvi Geetha
Received 21 July 2008, Revised 10 February 2009, Available Online 1 March 2009.
DOI
10.2991/jnmp.2009.2.1.5How to use a DOI?
Abstract

Appropriate organization of video databases is essential for pertinent indexing and retrieval of visual information. This paper proposes a new feature called Block Intensity Comparison Code (BICC) for video classification and an unsupervised shot change detection algorithm to detect the shot changes in a video stream using autoassociative neural network (AANN) which makes retrieval problems much simpler. BICC represents the average block intensity difference between blocks of a frame. A novel AANN misclustering rate (AMR) algorithm is used to detect the shot transitions. The experiments demonstrate the effectiveness of the proposed methods.

Copyright
© 2009, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
2 - 1
Pages
39 - 50
Publication Date
2009/03/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/jnmp.2009.2.1.5How to use a DOI?
Copyright
© 2009, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - M. Kalaiselvi Geetha
AU  - S. Palanivel
PY  - 2009
DA  - 2009/03/01
TI  - Video Classification and Shot Detection for Video Retrieval Applications
JO  - International Journal of Computational Intelligence Systems
SP  - 39
EP  - 50
VL  - 2
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/jnmp.2009.2.1.5
DO  - 10.2991/jnmp.2009.2.1.5
ID  - Geetha2009
ER  -