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1999 International Symposium on Database Applications in Non-Traditional Environments (DANTE'99)
Heijo-A Video Database System for Retrieving Semantically Coherent Video Information
Kyoto, Japan
November 28-November 30
ISBN: 0-7695-0496-5
ASCII Text
x 
 
Shunsuke Uemura, Masatoshi Yoshikawa, Toshiyuki Amagasa, "Heijo-A Video Database System for Retrieving Semantically Coherent Video Information," Database Applications in Non-Traditional Environments, International Symposium on, pp. 176, 1999 International Symposium on Database Applications in Non-Traditional Environments (DANTE'99), 1999.
 
 
BibTex
x
 
@article{ 10.1109/DANTE.1999.844957,
author = {Shunsuke Uemura and Masatoshi Yoshikawa and Toshiyuki Amagasa},
title = {Heijo-A Video Database System for Retrieving Semantically Coherent Video Information},
journal ={Database Applications in Non-Traditional Environments, International Symposium on},
volume = {0},
year = {1999},
isbn = {0-7695-0496-5},
pages = {176},
doi = {http://doi.ieeecomputersociety.org/10.1109/DANTE.1999.844957},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Database Applications in Non-Traditional Environments, International Symposium on
TI - Heijo-A Video Database System for Retrieving Semantically Coherent Video Information
SN - 0-7695-0496-5
SP
EP
A1 - Shunsuke Uemura,
A1 - Masatoshi Yoshikawa,
A1 - Toshiyuki Amagasa,
PY - 1999
VL - 0
JA - Database Applications in Non-Traditional Environments, International Symposium on
ER -
 
Shunsuke Uemura, Nara Institute of Science and Technology
Masatoshi Yoshikawa, Nara Institute of Science and Technology
Toshiyuki Amagasa, Nara Institute of Science and Technology
This paper describes some time interval operations and their application, in conjunction with the research and development project for a video database system “Heijo”. Retrieving meaningful video fragments from video databases is a challenging issue. Heijo can process such queries by combining simple indices constructed on each video data. To this end, three kinds of operations on time intervals, namely, intersection, union, and joint operations are proposed. In addition, five kinds of time axes and categorization of video data based on the time axes are introduced so that we can distinguish video data by their contents.
Citation:
Shunsuke Uemura, Masatoshi Yoshikawa, Toshiyuki Amagasa, "Heijo-A Video Database System for Retrieving Semantically Coherent Video Information," dante, pp.176, 1999 International Symposium on Database Applications in Non-Traditional Environments (DANTE'99), 1999
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