A multi-type indexing CBVR system constructed with MPEG-7 visual features

Authors:
Yin-Fu Huang;He-Wen Chen
Affiliations:
Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology;Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology
Venue:
AMT'11 Proceedings of the 7th international conference on Active media technology
Year:
2011

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Abstract

Since multimedia has played an important role in our daily life, multimedia mining becomes a popular research area. Among the emerging research topics of multimedia mining, content-based video retrieval is a challenging one which attracts researchers' attention. Here, we make an attempt to retrieve the requested video contents from a long-length video. We issue one semantic query clip extracted from a source video, and try to retrieve the requested video contents of this source video. In this paper, we proposed a novel scheme to facilitate indexing and/or querying long-length videos. For indexing source videos, we construct and integrate two index structures: B+-tree and BitMatrix. Thus, we can easily locate candidates from the index structures and perform sequence matching to retrieve the requested video contents. They could be the video contents exactly matched with or similar to the query clip. Finally, the experimental results show that the proposed scheme can retrieve requested video contents in an effective way.