Salient feature selection for visual concept learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3767 LNCS, Issue , 2005, Pages 617-628

  Xu, Feng ^b   Zhang, Lei ^a   Zhang, Yu Jin ^b   Ma, Wei Ying ^a  

^a MICROSOFT RESEARCH ASIA   (China)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; ENTROPY; FEATURE EXTRACTION; IMAGE ANALYSIS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MEASUREMENT THEORY; PROBLEM SOLVING; SEMANTICS;

IMAGE CLASSIFICATIONS; KEYWORD-BASED SEMANTIC IMAGE RETRIEVAL; NOISY FEATURES; SEMANTIC CONCEPTS;

VISUAL COMMUNICATION;

EID: 33646688158     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11581772_54     Document Type: Conference Paper

References (16)

1. Aditya Vailaya, Anil Jain, Hong Jiang Zhang, On Image Classification: City vs. Landscape, Pattern Recognition, 31 (12), 1921-1935, 1998.
2. M. Szummer, R. Picard, Indoor-outdoor image classification, IEEE International Workshop on Content-based Access of Image and Video Databases, 42-51, 1998.
3. R, Fergus, P. Perona, A Zisserman, Object Class Recognition by Unsupervised Scale-Invariant Learning, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, II/264-II/271, 2003.
4. Li Fei-Fei, Rob Fergus, Pietro Perona, A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories, Proceedings of the IEEE International Conference on Computer Vision, 1134-1141, 2003.
5. R. Fergus, P. Perona, A. Zisserman, A Visual Category Filter for Google Images, Proceedings of the 8th European Conference on Computer Vision, 242-256, 2004.
6. Gabriella Csurka, Christopher R. Dance, Lixin Fan, Jutta Willamowski, Cedric Bray, Visual Categorization with Bags of Keypoints, The 8th European Conference on Computer Vision - ECCV, 11-14, 2004.
7. Ana B. Benitez, Shih-Fu Chang, Image Classification using Multimedia Knowledge Networks, IEEE International Conference on Image Processing, 613-616, 2003.
8. Jianping Fan, Yuli Gao, Hangzai Luo. Multi-Level Annotation of Natural Scene Using Dominant Image Components and Semantic Concepts. MM'04. 540-547.
9. Josef Sivic, Andrew Zisserman. Video Google: A Text Retrieval Approach to Object Matching in Videsos. Proceedings of the Ninth IEEE International Conference on Computer Vision (ICCV 2003).
10. D.M. Blei, M.I.Jordan. Modeling Annotated Data. SIGIR 2003, 127-134.
11. D.M. Blei, A.Y. Ng, M.I. Jordan. Latent Dirichlet Allocation. Journal of Machine Learning Research, 3: 993-1022, 2003.
12. Nuno Vasconcelos, Manuela Vasconcelos. Scalable Discriminant Feature Selection for Image Retrieval and Recognition. CVPR 2004.
13. Yanxi Liu, Robert T. Collins. A Computational Model for Repeated Pattern Perception using Frieze and Wallpaper Groups. CVPR 2000.
14. T. Kadir, M. Brady. Scale, saliency and image description. IJCV, 45(2): 83-105, 2001.
15. David G. Lowe. Object Recognition from Local Scale-Invariant Features. Proc. of the International Conference on Computer Vision. 1999.
16. V. Vapnik. Statistical Learning Theory. Wiley, 1998.