Randomized visual phrases for object search

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2012, Pages 3100-3107

  Jiang, Yuning ^a   Meng, Jingjing ^a   Yuan, Junsong ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

CO-LOCATED; DISCRIMINATIVE MATCHING; EXPERIMENTAL COMPARISON; LOCAL FEATURE; LOCAL MATCHING; MATCHING SCORE; OBJECT LOCALIZATION; PARALLELIZATIONS; RANDOM PARTITIONS; RANDOMIZED APPROACH; SPATIAL CONTEXT; STATE-OF-THE-ART METHODS; THEORETICAL STUDY; THRESHOLDING; VISUAL OBJECTS; VISUAL PHRASE;

COMPUTER VISION;

IMAGE MATCHING;

EID: 84866648092     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6248042     Document Type: Conference Paper

References (24)

1. R. Behmo, P. Marcombes, A. Dalalyan, and V. Prinet. Towards optimal naïve bayes nearest neighbor. In Proc. European Conf. on Computer Vision, 2010.
2. O. Boiman, E. Shechtman, and M. Irani. In defense of nearest-neighbor based image classification. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2008.
3. O. Chum, M. Perdoch, and J. Matas. Geometric min-hashing: finding a (thick) needle in a haystack. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2009.
4. J. He, R. Radhakrishnan, S.-F. Chang, and C. Bauer. Compact hashing with joint optimization of search accuracy and time. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2011.
5. H. Jegou, M. Douze, C. Schmid, and P. Perez. Aggregating local descriptors into a compact image representation. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2010.
6. Y. Jiang, J. Meng, and J. Yuan. Grid-based local feature bundling for efficient object search and localization. In Proc. IEEE Conf. on Image Processing, 2011.
7. Y.-H. Kuo, H.-T. Lin, W.-H. Cheng, Y.-H. Yang, and W. H. Hsu. Unsupervised auxiliary visualwords discovery for large-scale image object retrieval. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2011.
8. C. H. Lampert. Detecting objects in large image collections and videos by efficient subimage retrieval. In Proc. IEEE Intl. Conf. on Computer Vision, 2009.
9. C. H. Lampert, M. B. Blaschko, and T. Hofmann. Beyond sliding windows: Object localization by efficient subwindow search. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2008.
10. T. Li, T. Mei, I. Kweon, and X. Hua. Contextual bag-of-words for visual categorization. IEEE Transactions on Circuits and Systems for Video Technology., 2010.
11. W. Liu, Y.-G. Jiang, J. Luo, and S.-F. Chang. Compact hashing with joint optimization of search accuracy and time. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2011.
12. D. Lowe. Distinctive image features from scale-invariant keypoints. Intl. Journal of Computer Vision, 2004.
13. J. Meng, J. Yuan, Y. Jiang, N. Narasimhan, V. Vasudevan, and Y. Wu. Interactive visual object search through mutual information maximization. In Proc. ACM Multimedia, 2010.
14. M. Perdoch, O. Chum, and J. Matas. Efficient representation of local geometry for large scale object retrieval. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2009.
15. J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Object retrieval with large vocabularies and fast spatial matching. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2007.
16. B. C. Russell, A. A. Efros, J. Sivic, W. T. Freeman, and A. Zisserman. Using multiple segmentation to discover objects and their extent in image collections. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2006.
17. J. Sivic and A. Zisserman. Efficient visual search of videos cast as text retrieval. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2009.
18. X.Wang, M. Yang, T. Cour, S. Zhu, K. Yu, and T. X. Han. Contextual weighting for vocabulary tree based image retrieval. In ICCV'11: IEEE International Conference on Computer Vision, Barcelona, Spain, Nov. 6-13, 2011.
19. J. Winn and N.Jojic. Locus: Learning object classes with unsupervised segmentation. In Proc. IEEE Intl. Conf. on Computer Vision, 2005.
20. Z.Wu, Q. Ke, and J. Sun. Bundling features for large-scale partialduplicate web image search. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2009.
21. J. Yuan and Y.Wu. Spatial random partition for common visual pattern discovery. In Proc. IEEE Intl. Conf. on Computer Vision, 2007.
22. J. Yuan, Y. Wu, and M. Yang. Discovery of collocation patterns: from visual words to visual phrases. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2007.
23. S. Zhang, Q. Huang, G. Hua, S. Jiang,W. Gao, and Q. Tian. Building contextual visual vocabulary for large-scale image applications. In Proc. ACM Multimedia, 2010.
24. Y. Zhang, Z. Jia, and T. Chen. Image retrieval with geometry-preserving visual phrases. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2011.