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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ruixin Xu Miaojing Shi Bo Geng Chao Xu |
| Copyright Year | 2011 |
| Description | Author affiliation: Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, 100871, China (Ruixin Xu; Miaojing Shi; Bo Geng; Chao Xu) |
| Abstract | With the rapid development of bag-of-visual-word model and its wide-spread applications in various computer vision problems such as visual recognition, image retrieval tasks, etc., fast visual word assignment becomes increasingly important, especially for some on-line services and large scale settings. The conventional approximate nearest neighbor mapping techniques purely consider the distribution of image local descriptors in the visual feature space and perform the mapping process independently for each descriptor. In this paper, we propose to involve the spatial correlation information to boost the efficiency of feature quantization. The visual words that frequently co-occur in the same local region of a large number of images are considered as spatial neighborhoods, which can be leveraged to boost the approximate mapping of neighbored local descriptors. Experimental results on a well-known image retrieval dataset demonstrate that, the proposed method is capable of improving the efficiency and precision of visual word assignment. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 3232849 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612843483 |
| ISSN | 19457871 |
| e-ISBN | 9781612843506 |
| e-ISBN | 9781612843490 |
| DOI | 10.1109/ICME.2011.6011893 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-11 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Artificial neural networks Correlation Indexes Quantization Image retrieval Mutual information Image Retrieval Visual Words Spatial Correlation |
| Content Type | Text |
| Resource Type | Article |
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