| Joint Optimization Toward Effective and Efficient Image Search | |
Wei, Shikui1,2; Xu, Dong2; Li, Xuelong3 ; Zhao, Yao4,5
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| 2013-12-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON CYBERNETICS
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| 卷号 | 43期号:6页码:2216-2227 |
| 摘要 | The bag-of-words (BoW) model has been known as an effective method for large-scale image search and indexing. Recent work shows that the performance of the model can be further improved by using the embedding method. While different variants of the BoW model and embedding method have been developed, less effort has been made to discover their underlying working mechanism. In this paper, we systematically investigate the image search performance variation with respect to a few factors of the BoW model, and study how to employ the embedding method to further improve the image search performance. Subsequently, we summarize several observations based on the experiments on descriptor matching. To validate these observations in a real image search, we propose an effective and efficient image search scheme, in which the BoW model and embedding method are jointly optimized in terms of effectiveness and efficiency by following these observations. Our comprehensive experiments demonstrate that it is beneficial to employ these observations to develop an image search algorithm, and the proposed image search scheme outperforms state-of-the-art methods in both effectiveness and efficiency. |
| 文章类型 | Article |
| 关键词 | Bag-of-words (Bow) Embedding Method High Effectiveness High Efficiency Large Scale Image Search |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TCYB.2013.2245890 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | CLASSIFICATION ; FEATURES ; RETRIEVAL ; MODEL |
| 语种 | 英语 |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| WOS记录号 | WOS:000327647500058 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/23445 |
| 专题 | 光谱成像技术研究室 |
| 作者单位 | 1.Beijing Jiaotong Univ, Inst Informat Sci, Beijing Key Lab Adv Informat Sci & Network Techno, Beijing 100044, Peoples R China 2.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore 3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr OPT IMagery Anal & Learning, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China 4.Beijing Jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China 5.State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wei, Shikui,Xu, Dong,Li, Xuelong,et al. Joint Optimization Toward Effective and Efficient Image Search[J]. IEEE TRANSACTIONS ON CYBERNETICS,2013,43(6):2216-2227. |
| APA | Wei, Shikui,Xu, Dong,Li, Xuelong,&Zhao, Yao.(2013).Joint Optimization Toward Effective and Efficient Image Search.IEEE TRANSACTIONS ON CYBERNETICS,43(6),2216-2227. |
| MLA | Wei, Shikui,et al."Joint Optimization Toward Effective and Efficient Image Search".IEEE TRANSACTIONS ON CYBERNETICS 43.6(2013):2216-2227. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Joint Optimization T（723KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY | 请求全文 | |
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