Institute of Computing Technology, Chinese Academy IR
Building descriptive and discriminative visual codebook for large-scale image applications | |
Tian, Qi1; Zhang, Shiliang2; Zhou, Wengang3; Ji, Rongrong4; Ni, Bingbing5; Sebe, Nicu6 | |
2011 | |
发表期刊 | MULTIMEDIA TOOLS AND APPLICATIONS
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ISSN | 1380-7501 |
卷号 | 51期号:2页码:441-477 |
摘要 | Inspired by the success of textual words in large-scale textual information processing, researchers are trying to extract visual words from images which function similar as textual words. Visual words are commonly generated by clustering a large amount of image local features and the cluster centers are taken as visual words. This approach is simple and scalable, but results in noisy visual words. Lots of works are reported trying to improve the descriptive and discriminative ability of visual words. This paper gives a comprehensive survey on visual vocabulary and details several state-of-the-art algorithms. A comprehensive review and summarization of the related works on visual vocabulary is first presented. Then, we introduce our recent algorithms on descriptive and discriminative visual word generation, i.e., latent visual context analysis for descriptive visual word identification [74], descriptive visual words and visual phrases generation [68], contextual visual vocabulary which combines both semantic contexts and spatial contexts [69], and visual vocabulary hierarchy optimization [18]. Additionally, we introduce two interesting post processing strategies to further improve the performance of visual vocabulary, i.e., spatial coding [73] is proposed to efficiently remove the mismatched visual words between images for more reasonable image similarity computation; user preference based visual word weighting [44] is developed to make the image similarity computed based on visual words more consistent with users' preferences or habits. |
关键词 | Visual vocabulary Large-scale image retrieval Image search re-ranking Feature space quantization |
DOI | 10.1007/s11042-010-0636-6 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | NSF[IIS 1052851] ; Akiira Media Systems, Inc. ; FIRB SPATTERN project ; FP7 IP GLOCAL European project |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000286472300003 |
出版者 | SPRINGER |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/12540 |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Tian, Qi |
作者单位 | 1.Univ Texas San Antonio, Dept Comp Sci, San Antonio, TX 78249 USA 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 3.Univ Sci & Technol China, EEIS Dept, Hefei 230027, Peoples R China 4.Harbin Inst Technol, Harbin 150001, Heilongjiang, Peoples R China 5.Natl Univ Singapore, Singapore 117576, Singapore 6.Univ Trent, Dept Informat Engn & Comp Sci, I-38100 Trento, Italy |
推荐引用方式 GB/T 7714 | Tian, Qi,Zhang, Shiliang,Zhou, Wengang,et al. Building descriptive and discriminative visual codebook for large-scale image applications[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2011,51(2):441-477. |
APA | Tian, Qi,Zhang, Shiliang,Zhou, Wengang,Ji, Rongrong,Ni, Bingbing,&Sebe, Nicu.(2011).Building descriptive and discriminative visual codebook for large-scale image applications.MULTIMEDIA TOOLS AND APPLICATIONS,51(2),441-477. |
MLA | Tian, Qi,et al."Building descriptive and discriminative visual codebook for large-scale image applications".MULTIMEDIA TOOLS AND APPLICATIONS 51.2(2011):441-477. |
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