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ICCV
2009
IEEE

Efficient indexing for large scale visual search

8 years 8 months ago
Efficient indexing for large scale visual search
With the popularity of "bag of visual terms" representations of images, many text indexing techniques have been applied in large-scale image retrieval systems. However, due to a fundamental difference between an image query (e.g. 1500 visual terms) and a text query (e.g. 3-5 terms), the usages of some text indexing techniques, e.g. inverted list, are misleading. In this work, we develop a novel indexing technique for this problem. The basic idea is to decompose a document-like representation of an image into two components, one for dimension reduction and the other for residual information preservation. The computing of similarity of two images can be transferred to measuring similarities of their components. The decomposition has two major merits: 1) these components have good properties which enable them to be efficiently indexed and retrieved; 2) The decomposition has better generalization ability than other dimension reduction algorithms. The decomposition can be achieve...
Xiao Zhang, Zhiwei Li, Lei Zhang, Wei-Ying Ma, Heu
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICCV
Authors Xiao Zhang, Zhiwei Li, Lei Zhang, Wei-Ying Ma, Heung-Yeung Shum
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