Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

The Structured Analytical Technology of Video Information Management

Authors
Jun Zhou1
1School of Management Science and Engineering, Central University of Finance and Economics
Corresponding Author
Jun Zhou
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.159How to use a DOI?
Keywords
Analysis, video data, information management, semantic unit, structure
Abstract

When the information management system is carried into execution, the unstructured video data always cannot be organized properly. Traditional analytical method by handling large number of video shots cannot convey meaningful semantics. We divided the video into appropriate shots with the improved twin-comparison method to gain effective browsing and retrieval purpose. So the convenient technique of generating video scene structure is set up, through taking a method of sliding shots window, shots are grouped into clusters to improving the efficiency and effectiveness. Finally a demonstration analysis shows it is a useful way.

Copyright
© 2007, 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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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.159How to use a DOI?
Copyright
© 2007, 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  - CONF
AU  - Jun Zhou
PY  - 2007/10
DA  - 2007/10
TI  - The Structured Analytical Technology of Video Information Management
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 939
EP  - 942
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.159
DO  - https://doi.org/10.2991/iske.2007.159
ID  - Zhou2007/10
ER  -