Di Zhong, Shih-Fu Chang. Region Feature Based Similarity Searching of Semantic Video Objects. In IEEE International Conference on Image Processing (ICIP'99), Kobe, Japan, October 1999.
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New video representations based on semantic objects (e.g., MPEG-4) provide great potential for content-based video searching. In this paper, we present an efficient query model for similarity searching of video objects based on localized region features and spatial-temporal structures. The query model is based on an existing framework on region-level video query, but addresses several new issues like tight spatio-temporal relationships and multi-level feature hierarchy. We also include experiment results to demonstrate the effective performance of the proposed approach
@InProceedings{dvmmPub69,
Author = {Zhong, Di and Chang, Shih-Fu},
Title = {Region Feature Based Similarity Searching of Semantic Video Objects},
BookTitle = {IEEE International Conference on Image Processing (ICIP'99)},
Address = {Kobe, Japan},
Month = {October},
Year = {1999}
}
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