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Cited 5 time in webofscience Cited 6 time in scopus
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Character-based indexing and browsing with movie ontology

Authors
Quang Dieu TranHwang, DosamJung, Jason J.
Issue Date
2017
Publisher
IOS PRESS
Keywords
Video analysis; video indexing; character network; character-based analysis; social network; ontology
Citation
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, v.32, no.2, pp 1229 - 1240
Pages
12
Journal Title
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Volume
32
Number
2
Start Page
1229
End Page
1240
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/6199
DOI
10.3233/JIFS-169122
ISSN
1064-1246
1875-8967
Abstract
Various content-based methods (e.g., audio-visual feature recognition and dialogs analysis) have been proposed for analyzing, indexing and understanding movies. Our previous approach introduced a method for character indexing based on manual annotation. However, this method has shown several unsatisfactoriness on performing of indexing. For addressing this issue, in this work, we take into account using image processing techniques for semi-automatically character-based indexing. Besides, a movie ontological model is created for connecting character appearances and character's roles in the movie. Moreover, we propose a system for assist user indexing manually. On the other hand, a searching and browsing tool is also introduced. Using this tool, user can query character-based semantic indexing. Experimental results are shown that our proposed method is able to assist user in consuming index time and providing a method for automatic indexing, searching and browsing based on semantic queries.
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Jung, Jason J.
소프트웨어대학 (소프트웨어학부)
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