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An efficient access method for multimodal video retrieval
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DOI：10.1007/s11042-014-1917-2.png)
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摘要
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This paper presents the Slim (2) -tree, an efficient and effective content-based video retrieval technique allowing the use of multiple modalities within a single index structure. Slim (2) -tree is capable of dealing with different distance measures for the modalities and can perform both multimodal and unimodal searches using the same tree structure. Experimental studies on a large real dataset show the video similarity search performance of the proposed technique. Additionally, we present experiments comparing our method against state-of-the-art of multimodal solutions. Comparative test results demonstrate that our technique improves the performance of video similarity queries.
Keyword:
Content-based video retrieval
Metric access methods
Multimodal video retrieval
Multimedia database
期刊
IF:
3
论文数:
2.0W
被引数:
3.2W
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