A Semantic Content Retrieval and Browsing System Based on Associative Relation in Video Databases
INTERNATIONAL JOURNAL OF CONTENTS / INTERNATIONAL JOURNAL OF CONTENTS, (P)1738-6764; (E)2093-7504
2006, v.2 no.1, pp.22-28
Bok Kyoung-Soo
(Department of Computer Science Korea Advanced Institute of Science and Technology)
Yoo Jae-Soo
(Department of Computer and Communication Engineering Chungbuk National University)
Bok Kyoung-Soo,
&
Yoo Jae-Soo.
(2006). A Semantic Content Retrieval and Browsing System Based on Associative Relation in Video Databases. INTERNATIONAL JOURNAL OF CONTENTS, 2(1), 22-28.
Abstract
In this paper, we propose new semantic contents modeling using individual features, associative relations and visual features for efficiently supporting browsing and retrieval of video semantic contents. And we implement and design a browsing and retrieval system based on the semantic contents modeling. The browsing system supports annotation based information, keyframe based visual information, associative relations, and text based semantic information using a tree based browsing technique. The retrieval system supports text based retrieval, visual feature and associative relations according to the retrieval types of semantic contents.
- keywords
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Video Data,
Semantic Content,
Associative Relation,
Browsing System,
Retrieval System