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.
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Huang, YF., Chen, HW. (2011). A Multi-type Indexing CBVR System Constructed with MPEG-7 Visual Features. In: Zhong, N., Callaghan, V., Ghorbani, A.A., Hu, B. (eds) Active Media Technology. AMT 2011. Lecture Notes in Computer Science, vol 6890. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23620-4_11
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DOI: https://doi.org/10.1007/978-3-642-23620-4_11
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