請用此 Handle URI 來引用此文件：
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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 徐宏民(Winston H. Hsu) | |
| dc.contributor.author | Che-Chun Lee | en |
| dc.contributor.author | 李哲君 | zh_TW |
| dc.date.accessioned | 2021-06-16T10:23:21Z | - |
| dc.date.available | 2016-01-01 | |
| dc.date.copyright | 2013-08-28 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-08-15 | |
| dc.identifier.citation | [1] Josef Sivic and Andrew Zisserman. Video google: A text retrieval approach to object matching in videos. In ICCV, pages 1470--1477. IEEE Computer Society, 2003.
[2] Bryan C. Russell, Josef Sivic, Jean Ponce, and Helene Dessales. Automatic alignment of paintings and photographs depicting a 3d scene. In ICCV Workshops, pages 545-- 552, 2011. [3] Tao Chen, Ming-Ming Cheng, Ping Tan, Ariel Shamir, and Shi-Min Hu. Sketch2photo: internet image montage. ACM Trans. Graph., 28(5):124:1--124:10, December 2009. [4] Abhinav Shrivastava, Tomasz Malisiewicz, Abhinav Gupta, and Alexei A. Efros. Data-driven visual similarity for cross-domain image matching. ACM Trans. Graph., 30(6):154, 2011. [5] Tomasz Malisiewicz, Abhinav Gupta, and Alexei A. Efros. Ensemble of exemplarsvms for object detection and beyond. In ICCV, pages 89--96, 2011. [6] Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, and Deva Ramanan. Object detection with discriminatively trained part-based models. IEEE Trans. Pattern Anal. Mach. Intell., 32(9):1627--1645, 2010. [7] Krystian Mikolajczyk and Cordelia Schmid. Scale & affine invariant interest point detectors. Int. J. Comput. Vision, 60(1):63--86, October 2004. [8] David G. Lowe. Object recognition from local scale-invariant features. In Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2, ICCV '99, pages 1150--, Washington, DC, USA, 1999. IEEE Computer Society. [9] M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results. http://www.pascalnetwork.org/challenges/VOC/voc2007/workshop/index.html. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/60611 | - |
| dc.description.abstract | We proposed a method to solve the general cross-domain image retrieval problem. This method focuses on image content structure but not the detail, so it is particularly useful to matching the images across different visual domains e.g., paintings, hand-drawn sketches and photographs taken in different times.
There is a method trying to solve this problem by classification. Although it gets good performance in the experiment, it is too computationally intensive to do the interactive applications. For finding a fast solution, we analyse the problem causing BoW method fails in the cross-domain setting first. Then, According to the observation, our proposed method releases the strict matched constraint and uses a fast spatial verification to describe the content structure similarity. Finally, our method is very faster than the baseline solution and achieves the same performance. Key words: Cross-domain, image retrieval, spatial verification, multi-level matching, image matching, sketch | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T10:23:21Z (GMT). No. of bitstreams: 1 ntu-102-R00922042-1.pdf: 6644302 bytes, checksum: f8a8867ed7d5596520debfee0f11035d (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | 口試委員會審定書 i
致謝 ii 中文摘要 iii Abstract iv Contents v List of Figures vii List of Tables x 1 Introduction 1 2 Related Work 4 2.1 Data-driven Visual Similarity for Cross-domain Image Matching . . . . . 4 2.2 Bag-of-words Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.2.1 Off-line Stage . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.2.2 On-line Stage . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 3 Observation 8 4 Proposed Method 10 4.1 Multi-level matching . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 4.1.1 Multi-Level Quantization . . . . . . . . . . . . . . . . . . . . . . 11 4.1.2 Multi-Level Matching . . . . . . . . . . . . . . . . . . . . . . . 12 4.2 Choosing Level . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 4.3 Spatial Verification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 4.3.1 Offset Space . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 4.3.2 Box Filter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 4.3.3 Matched Query Ratio . . . . . . . . . . . . . . . . . . . . . . . . 15 5 Experiments and Discussion 17 5.1 Experiment and Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . 17 5.2 Spatial Verification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 5.3 Deciding Level . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 5.4 Performance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 5.5 Speed . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 5.6 Result . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 6 Conclusion and Future Works 24 Bibliography 26 | |
| dc.language.iso | en | |
| dc.subject | 跨領域 | zh_TW |
| dc.subject | 空間關係驗證 | zh_TW |
| dc.subject | 影像搜尋 | zh_TW |
| dc.subject | 影像匹配 | zh_TW |
| dc.subject | 多層次匹配 | zh_TW |
| dc.subject | sketch | en |
| dc.subject | Cross-domain | en |
| dc.subject | image retrieval | en |
| dc.subject | spatial verification | en |
| dc.subject | multi-level matching | en |
| dc.subject | image matching | en |
| dc.title | 利用階層式視覺文字和空間關係驗證提升跨來源影像搜尋之效能 | zh_TW |
| dc.title | Cross-domain Image Retrieval by Multi-level Feature and Spatial Verification | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳祝嵩(Chu-Song Chen),林彥宇(Yen-Yu Lin) | |
| dc.subject.keyword | 跨領域,影像搜尋,空間關係驗證,多層次匹配,影像匹配, | zh_TW |
| dc.subject.keyword | Cross-domain,image retrieval,spatial verification,multi-level matching,image matching,sketch, | en |
| dc.relation.page | 27 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2013-08-16 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
| 顯示於系所單位： | 資訊工程學系 | |
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|---|---|---|---|
| ntu-102-1.pdf 未授權公開取用 | 6.49 MB | Adobe PDF |
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