Discriminative cellets discovery for fine-grained image categories retrieval

ICMR 2014 - Proceedings of the ACM International Conference on Multimedia Retrieval 2014

Volumn , Issue , 2014, Pages 57-64

  Zhang, Luming ^a   Yang, Yi ^b   Zimmermann, Roger ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Categories retrieval; Cellets; Fine grained; Sparse coding

Indexed keywords

CELLS; CYTOLOGY; FACE RECOGNITION; IMAGING SYSTEMS;

CATEGORIES RETRIEVAL; CELLETS; FINE-GRAINED; IMAGE CATEGORIZATION; LINEAR COMBINATIONS; LINEAR DISCRIMINANTS; SPARSE CODING; SPATIAL PYRAMID MATCHING;

IMAGE MATCHING;

EID: 84899732480     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2578726.2578736     Document Type: Conference Paper

References (34)

1. Jieping Ye, Least squares linear discriminant analysis, in Proc. of ICML, pages 1087-1093, 2007.
2. Svetlana Lazebnik, Cordelia Schmid and Jean Ponce. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. in Proc. of CVPR, pages 2169-2178, 1006.
3. Yue Gao, Jinhui Tang, Richang Hong, Shuicheng Yan, Qionghai Dai, Naiyao Zhang, Tat-Seng Chua, Camera Constraint-Free View-Based 3D Object Retrieval, IEEE T-IP, 21(4), pages: 2269-2281, 2012.
4. Yue Gao, Meng Wang, Zhengjun Zha, Qi Tian, Qionghai Dai, Naiyao Zhang, Less is More: Efficient 3D Object Retrieval with Query View Selection, IEEE T-MM, 11(5), pages: 1007-1018, 2011.
5. Yue Gao, Meng Wang, Rongrong Ji, Xindong Wu, Qionghai Dai, 3-D Object Retrieval With Hausdor® Distance Learning, IEEE T-IE, 61(4), pages: 2088-2098, 2014.
6. Jianchao Yang; Kai Yu; Yihong Gong; Huang, T. Linear spatial pyramid matching using sparse coding for image classification. in Proc. of CVPR, pages: 2169-2178, 2009.
7. Jinjun Wang, Jianchao Yang, Kai Yu, Fengjun Lv, Thomas Huang and Yihong Gong. Locality-constrained Linear Coding for Image Classification. in Proc. of CVPR, 2010.
8. Harchaoui Z. and Bach, F. Image Classification with Segmentation Graph Kernels. in Proc. of CVPR,pages: 1-8, 2007.
9. Xi Zhou, Na Cui, Zhen Li, Feng Liang, and Thomas S. Huang. Hierarchical Gaussianization for Image Classification. In Proc. of ICCV, pages: 1971-197,2009
10. Jianxin Wu James M. Rehg. Beyond the Euclidean distance: Creating e®ective visual codebooks using the histogram intersection kernel. In Proc. IEEE ICCV, pages:630-637,2009
11. J. C. van Gemert, J.-M. Geusebroek, C. J. Veenman, and A. W. M. Smeulders. Kernel codebooks for scene categorization. In Proc. ECCV, pages:696-709,2008
12. Richard O. Duda, Peter E. Hart and David G. Stork: Pattern Classification. Wiley-Interscience, 2000.
13. Honglak Lee, Alexis Battle, Rajat Raina, and Andrew Y. Ng. Efficient sparse coding algorithms. in Proc. of NIPS, 2006.
14. J. Porway, K. Wang and B. Yao and S.C. Zhu, Scale-invariant shape features for recognition of object categories. in Proc. of ICCV, 2004.
15. Zaïd Harchaoui, Francis Bach, Image Classification with Segmentation Graph Kernels, in Proc. of ICCV, pages: 1-8, 2007.
16. Nino Shervashidze, S V N Vishwanathan, Tobias Petri, Kurt Mehlhorn, Karsten Borgwardt, Efficient Graphlet Kernels for Large Graph Comparison, in Proc. of AISTATS, pages: 488-495, 2009.
17. Yakov Keselman, ven Dickinson, Generic Model Abstraction from Examples, IEEE T-PAMI, 27(7), pages: 1141-1156, 2005.
18. M. Fatih Demirci, Ali Shokoufandeh, Yakov Keselman, Lars Bretzner, Sven Dickinson, Object Recognition as Many-to-Many Feature Matching, IJCV, 69(2), pages: 203-222, 2006.
19. Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Pictorial Structures for Object Recognition, IJCV, 61(1), pages: 55-79, 2005.
20. Yong Jae Lee, Kristen Grauman, Object-Graphs for Context-Aware Category Discovery, in Proc. of CVPR, pages: 346-358, 2009.
21. Bangpeng Yao, Gary Bradski, Li Fei-Fei, A Codebook-Free and Annotation-Free Approach for Fine-Grained Image Categorization, in Proc. of CVPR, pages: 3466-3473, 2012.
22. Asma Rejeb Sfar, Nozha Boujemaa, Donald Geman, Vantage Feature Frames For Fine-Grained Categorization, in Proc. of CVPR, pages: 835-842, 2013.
23. Thomas Berg, Peter N. Belhumeur, POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation, in Proc. of CVPR, pages: 955-962, 2013.
24. Jia Deng, Jonathan Krause, Li Fei-Fei, Fine-Grained Crowdsourcing for Fine-Grained Recognition, in Proc. of CVPR, pages: 580-587, 2013.
25. Kun Duan, Devi Parikh, David Crandall, Kristen Grauman, Discovering Localized Attributes for Fine-grained Recognition, in Proc. of CVPR, pages: 3474-3481, 2013.
26. Anelia Angelova, Shenghuo Zhu, Efficient Object Detection and Segmentation for Fine-grained Recognition, in Proc. of CVPR, pages: 811-818, 2013.
27. Jinjun Wang, Jianchao Yang, Kai Yu, Fengjun Lv, Thomas Huang, Yihong Gong, Locality-constrained Linear Coding for Image Classification, in Proc. of CVPR, pages: 3360-3367, 2010.
28. Li-Jia Li, Hao Su, Eric P. Xing, Li Fei-Fei, Object Bank: A High-Level Image Representation for Scene Classification and Semantic Feature Sparsification, in Proc. of NIPS, pages: 1378-1386, 2010.
29. Yangqing Jia, Chang Huang, Trevor Darrell, Beyond Spatial Pyramids: Receptive Field Learning for Pooled Image Features, in Proc. of CVPR, pages: 3370-3377, 2012.
30. Olga Russakovsky, Yuanqing Lin, Kai Yu, Li Fei-Fei, Object-Centric Spatial Pooling for Image Classification, in Proc. of ECCV, pages: 1-15, 2012.
31. Peter Welinder, Steve Branson, Takeshi Mita, Catherine Wah, Florian Schroff, Caltech-UCSD Birds 200, California Institute of Technology, CNS-TR-2010-001, 2010.
32. Josiah Wang, Katja Markert, Mark Everingham, Object-Centric Spatial Pooling for Image Classification, in Proc. of BMVC, pages: 1-11, 2009.
33. Yue Gao, Meng Wang, Dacheng Tao, Rongrong Ji, Qionghai Dai, 3D Object Retrieval and Recognition with Hypergraph Analysis, IEEE T-IP, 21(9), pages: 4290-4303, 2012.
34. Yue Gao, Meng Wang, Zhengjun Zha, Jialie Shen, Xuelong Li, Xindong Wu, Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search, IEEE T-IP, 22(1), pages: 363-376, 2013.