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- W1871462693 abstract "An important trend in web information processing is the support of content-based multimedia retrieval (CBMR). However, the most prevailing paradigm of CBMR, such as content-based image retrieval, content-based audio retrieval, etc, is rather conservative. It can only retrieve media objects of single modality. With the rapid development of Internet, there is a great deal of media objects of different modalities in the multimedia documents such as webpages, which exhibit latent semantic correlation. Cross-media retrieval, as a new multi-media retrieval method, is to retrieve all the related media objects with multi-modalities via submitting a query media object. To the best of our knowledge, this is the first study on how to speed up the cross-media retrieval via indexes. In this paper, based on a Cross-Reference-Graph(CRG)-based similarity retrieval method, we propose a novel unified high-dimensional indexing scheme called CIndex, which is specifically designed to effectively speedup the retrieval performance of the large cross-media databases. In addition, we have conducted comprehensive experiments to testify the effectiveness and efficiency of our proposed method." @default.
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- W1871462693 date "2009-01-01" @default.
- W1871462693 modified "2023-10-01" @default.
- W1871462693 title "A Unified Indexing Structure for Efficient Cross-Media Retrieval" @default.
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- W1871462693 doi "https://doi.org/10.1007/978-3-642-00887-0_59" @default.
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