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Proceedings Paper

Relevance of useful visual words in object retrieval
Author(s): Siyuan Qi; Yupin Luo
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Paper Abstract

The most popular methods in object retrieval are almost based on bag-of-words(BOW) which is both effective and efficient. In this paper we present a method use the relations between words of the vocabulary to improve the retrieval performance based on the BOW framework. In basic BOW retrieval framework, only a few words of the vocabulary is useful for retrieval, which are spatial consistent in images. We introduce a method to useful select useful words and build a relevance between these words. We combine useful relevance with basic BOW framework and query expansion as well. The useful relevance is able to discover latent related words which is not exist in the query image, so that we can get a more accurate vector model for retrieval. Combined with query expansion method, the retrieval performance are better and fewer time cost.

Paper Details

Date Published: 19 July 2013
PDF: 4 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88781Y (19 July 2013); doi: 10.1117/12.2030555
Show Author Affiliations
Siyuan Qi, Tsinghua National Lab. for Information Science and Technology (China)
Tsinghua Univ. (China)
Yupin Luo, Tsinghua National Lab. for Information Science and Technology (China)
Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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