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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liangliang Shi Bin Wu Bai Wang Xuguang Yan |
| Copyright Year | 2011 |
| Description | Author affiliation: Network Technology Center, Shandong College of Traditional Chinese Medicine, Yantai, China (Xuguang Yan) || Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, China (Liangliang Shi; Bin Wu; Bai Wang) |
| Abstract | Since the birth of the concept of Content Based Image Retrieval, it has been a hot issue of computer vision and pattern recognition subject. In the information age, with the rapid growth of the data, how can we retrieval image quickly and accurately from the vast amounts of image data become a problem. This paper proposes a method of applying the Map/Reduce model in the Cloud Computing to Content Based Image Retrieval. Through experiments on the image library of different sizes, we confirmed that this method can greatly improve the efficiency of image retrieval on massive image data. |
| Starting Page | 2465 |
| Ending Page | 2468 |
| File Size | 694386 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457715860 |
| e-ISBN | 9781457715877 |
| DOI | 10.1109/ICCSNT.2011.6182469 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computers Cloud computing Image recognition Histogram Image color analysis Manuals CBIR Robustness Telecommunications Multimedia communication MapReduce |
| Content Type | Text |
| Resource Type | Article |
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