Knowledge Commons of Institute of Automation，CAS
| Beyond Explicit Codebook Generation: Visual Representation Using Implicitly Transferred Codebooks | |
Zhang, Chunjie1,2 ; Cheng, Jian3; Liu, Jing3; Pang, Junbiao4; Huang, Qingming1,2,5; Tian, Qi6
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| 发表期刊 | IEEE TRANSACTIONS ON IMAGE PROCESSING
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| 2015-12-01 | |
| 卷号 | 24期号:12页码:5777-5788 |
| 文章类型 | Article |
| 摘要 | The bag-of-visual-words model plays a very important role for visual applications. Local features are first extracted and then encoded to get the histogram-based image representation. To encode local features, a proper codebook is needed. Usually, the codebook has to be generated for each data set which means the codebook is data set dependent. Besides, the codebook may be biased when we only have a limited number of training images. Moreover, the codebook has to be pre-learned which cannot be updated quickly, especially when applied for online visual applications. To solve the problems mentioned above, in this paper, we propose a novel implicit codebook transfer method for visual representation. Instead of explicitly generating the codebook for the new data set, we try to make use of pre-learned codebooks using non-linear transfer. This is achieved by transferring the pre-learned codebooks with non-linear transformation and use them to reconstruct local features with sparsity constraints. The codebook does not need to be explicitly generated but can be implicitly transferred. In this way, we are able to make use of pre-learned codebooks for new visual applications by implicitly learning the codebook and the corresponding encoding parameters for image representation. We apply the proposed method for image classification and evaluate the performance on several public image data sets. Experimental results demonstrate the effectiveness and efficiency of the proposed method. |
| 关键词 | Codebook Transfer Image Representation Classification Reconstruction Sparse Constraint |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TIP.2015.2485783 |
| 关键词[WOS] | UNSUPERVISED DOMAIN ADAPTATION ; IMAGE CLASSIFICATION ; DICTIONARY ; KERNEL |
| 收录类别 | SCI |
| 语种 | 英语 |
| 项目资助者 | Open Project through the Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences ; National Basic Research Program of China (973 Program)(2012CB316400 ; National Natural Science Foundation of China(61025011 ; ARO(W911NF-15-1-0290 ; Faculty Research Awards by NEC Laboratories of America ; 2015CB351802) ; 61170127 ; W911NF-12-1-0057) ; 61202234 ; 61272329 ; 61303154 ; 61332016 ; 61429201) |
| WOS研究方向 | Computer Science ; Engineering |
| WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| WOS记录号 | WOS:000369538200002 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/11338 |
| 专题 | 紫东太初大模型研究中心_图像与视频分析 |
| 作者单位 | 1.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing 100864, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 4.Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Multimedia & Intelligent Software, Beijing 100124, Peoples R China 5.Chinese Acad Sci, Inst Comp Technol, Key Lab Intell Info Proc, Beijing 100864, Peoples R China 6.Univ Texas San Antonio, Dept Comp Sci, San Antonio, TX 78249 USA |
| 推荐引用方式 GB/T 7714 | Zhang, Chunjie,Cheng, Jian,Liu, Jing,et al. Beyond Explicit Codebook Generation: Visual Representation Using Implicitly Transferred Codebooks[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2015,24(12):5777-5788. |
| APA | Zhang, Chunjie,Cheng, Jian,Liu, Jing,Pang, Junbiao,Huang, Qingming,&Tian, Qi.(2015).Beyond Explicit Codebook Generation: Visual Representation Using Implicitly Transferred Codebooks.IEEE TRANSACTIONS ON IMAGE PROCESSING,24(12),5777-5788. |
| MLA | Zhang, Chunjie,et al."Beyond Explicit Codebook Generation: Visual Representation Using Implicitly Transferred Codebooks".IEEE TRANSACTIONS ON IMAGE PROCESSING 24.12(2015):5777-5788. |
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| 07286813.pdf（2652KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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