Robust subspace analysis for detecting visual attention regions in images

Proceedings of the 13th ACM International Conference on Multimedia, MM 2005

Volumn , Issue , 2005, Pages 716-724

  Hu, Yiqun ^a   Rajan, Deepu ^a   Chia, Liang Tien ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

GPCA; Subspace Analysis; Visual Attention

Indexed keywords

ESTIMATION ALGORITHM; GENERALIZED PRINCIPAL COMPONENT ANALYSIS; GPCA; MULTIMEDIA APPLICATIONS; POLAR TRANSFORMATIONS; SUBSPACE ANALYSIS; VISUAL ATTENTION; WEIGHTED LEAST SQUARES;

LINEAR TRANSFORMATIONS; MATHEMATICAL TRANSFORMATIONS;

ESTIMATION;

EID: 84883117655     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1101149.1101306     Document Type: Conference Paper

References (17)

1. U. Rutishauser, D. Walther, C. Koch, and P. Perona. Is bottom-up attention useful for object recognition? In Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2, pages 37-44, Washington, DC, USA, July 2004.
2. U. Rutishauser, D. Walther, C. Koch, and P. Perona. On the usefulness of attention for object recognition. In 2nd International Workshop on Attention and Performance in Computational Vision 2004, pages 96-103, Prague, Czech Republic, May 2004.
3. D. Walther, U. Rutishauser, C. Koch, and P. Perona. Selective visual attention enables learning and recognition of multiple objects in cluttered scenes. Computer Vision and Image Understanding, pages 745-770, to be published 2005.
4. A. Bamidele, F. W. Stentiford, and J. Morphett. An attention-based approach to content based image retrieval. British Telecommunications Advanced Research Technology Journal on Intelligent Spaces (Pervasive Computing), 22(3), July 2004.
5. X.-J. Wang, W.-Y. Ma, and X. Li. Data-driven approach for bridging the cognitive gap in image retrieval. In Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, Volume 3, pages 2231-2234, Taibei, Taiwan, June 2004.
6. H. Liu, X. Xie, W.-Y. Ma, and H.-J. Zhang. Automatic browsing of large pictures on mobile devices. In Proceedings of the eleventh ACM international conference on Multimedia, pages 148-155, Berkeley, CA, USA, 2003. ACM Press.
7. L. Chen, X. Xie, X. Fan, W.-Y. Ma, H.-J. Zhang, and H. Zhou. A visual attention model for adapting images on small displays. ACM Multimedia Systems Journal, 9(4):353-364, November 2003.
8. Y. Hu, L.-T. Chia, and D. Rajan. Region-of-interest based image resolution adaptation for mpeg-21 digital item. In Proceedings of the 12th annual ACM international conference on Multimedia, pages 340-343, New York, NY, USA, 2004. ACM Press.
9. B. Suh, H. Ling, B. B. Bederson, and D. W. Jacobs. Automatic thumbnail cropping and its effectiveness. In Proceedings of the 16th annual ACM symposium on User interface software and technology, pages 95-104, New York, NY, USA, Novemember 2003. ACM Press.
10. L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(11):1254-1259, November 1998.
11. Y.-F. Ma and H.-J. Zhang. Contrast-based image attention analysis by using fuzzy growing. In Proceedings of the eleventh ACM international conference on Multimedia, pages 374-381, New York, NY, USA, Novemember 2003. ACM Press.
12. L. Itti and C. Koch. A comparison of feature combination strategies for saliency-based visual attention systems. In Proceedings of SPIE Human Vision and Electronic Imaging IV (HVEI'99), volume 3644, pages 473-482, San Jose, CA, January 1999.
13. A. P. Bradley and F. W. Stentiford. Visual attention for region of interest coding in jpeg2000. Journal of Visual Communication and Image Representation, 14(3):232-250, September 2003.
14. R. Vidal, Y. Ma, and S. Sastry. Generalized principal component analysis (gpca). In Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1, pages 621-628, Madison, Wisconsin, USA, June 2003.
15. R. Vidal. Generalized Principal Component Analysis (GPCA): an Algebraic Geometric Approach to Subspace Clustering and Motion Segmentation. PhD thesis, School of Electrical Engineering and Computer Sciences, University of California at Berkeley, August 2003.
16. Q. Ke and T. Kanade. Robust subspace clustering by combined use of knnd metric and svd algorithm. In Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2, pages 592-599, Washington, DC, USA, July 2004.
17. Y. Hu, X. Xie, W.-Y. Ma, L.-T. Chia, and D. Rajan. Salient region detection using weighted feature maps based on the human visual attention model. In Proceedings of the Fifth IEEE Pacific-Rim Conference on Multimedia, Volume 2, pages 993-1000, Tokyo Waterfront City, Japan, November 2004.