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  1. Proceedings of the 2nd ACM international workshop on Multimedia databases (MMDB '04)
  2. VRules: an effective association-based classifier for videos
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Content-based sub-image retrieval using relevance feedback
The priority curve algorithm for video summarization
Looking at mapping, indexing & querying of MPEG-7 descriptors in RDBMS with SM3
VRules: an effective association-based classifier for videos
Web-based multimedia databases: prospects and challenges
A motion based scene tree for browsing and retrieval of compressed videos
Semantic retrieval of multimedia data
A PCA-based similarity measure for multivariate time series
Automatic classification of speech and music using neural networks
A unified framework for image database clustering and content-based retrieval
Complementary information retrieval for cross-media news content
Indexing of variable length multi-attribute motion data
Automatic image annotation and retrieval using subspace clustering algorithm

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VRules: an effective association-based classifier for videos

Content Provider ACM Digital Library
Author Chia, Liang-Tien Bhowmick, Sourav S. Chen, Ling
Abstract Video classification is an important step towards multimedia understanding. Most state-of-the-art approaches which apply HMM to capture the temporal information of videos have the limitation by assuming that the current state of a video depends only on the immediate previous state. Nevertheless, this assumption may not hold for videos of various categories. In this paper, we present an effective video classifier which employs the association rule mining technique to discover the actual dependence relationship between video states. The discriminatory state transition patterns mined from different video categories are then used to perform classification. Besides capturing the association between states in the time space, we also capture the association between low-level features in spatial dimension to further distinguish the semantics of videos. Experimental results show that the performance of our association rule based classifier is quite promising.
Starting Page 85
Ending Page 93
Page Count 9
File Format PDF
ISBN 1581139756
DOI 10.1145/1032604.1032619
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2004-11-13
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Frequent sequence Association rule Video classification
Content Type Text
Resource Type Article
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