Sketch retrieval and relevance feedback with biased SVM classification

Pattern Recognition Letters

Volumn 29, Issue 12, 2008, Pages 1733-1741

  Liang, Shuang ^a   Sun, Zhengxing ^a  

^a NANJING UNIVERSITY   (China)

Author keywords

Biased SVM (BSVM); Content representation; Relevance feedback; Similarity matching; Sketch retrieval

Indexed keywords

CALCULATIONS; FEEDBACK; IMAGE RETRIEVAL; SUPPORT VECTOR MACHINES;

CONTENT-BASED; ELSEVIER (CO); FEATURE WEIGHTING; RELEVANCE FEEDBACK (RRF); RETRIEVAL PERFORMANCE; SHAPE DESCRIPTORS; SIMILARITY CALCULATIONS; SKETCH RETRIEVAL; SVM CLASSIFICATION;

CONTROL THEORY;

EID: 45849136304     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2008.05.004     Document Type: Article

References (20)

1. Chang, C.-C., Lin, C.-J., 2001. LIBSVM: A library for support vector machines. Software available from .
2. Chen, Y., Zhou, X., Huang, T.S., 2001. One-class SVM for learning in image retrieval. In: Proc. IEEE Internat. Conf. Image Processing, Thessaloniki, pp. 34-37.
3. Faloutsos C., Barber R., Flicker M., Niblack W., Petkovic D., and Equitz W. Efficient and effective querying by image content. J. Intelligent Inform. Systems 3 (1994) 231-262
4. Fonseca, M.J., Jorge. J.A., 2002. Towards content-based retrieval of technical drawings through high dimensional indexing. In: Proc. First Ibero-American Symp. Comput. Graphics (SIACG'02), Guimaraes, Portugal, July, pp. 263-270.
5. Haemers W.H., and Spence E. Enumeration of cospectral graphs. Eur. J. Combin. 25 2 (2004) 199-211
6. Heesch, D.C., 2001. Content-Based Sketch Retrieval with Relevance Feedback. Master Thesis, University of London, September.
7. Hoi, C.H., Chan, C.H., Huang, K.Z., Lyu, M.R, King. I., 2004. Biased support vector machine for relevance feedback in image retrieval. In: Proc. IEEE Internat. Joint Conf. Neural Networks, 25-29 July, vol. 4, pp. 3189-3194.
8. Huang, T.S., Zhou, X.S., 2001. Image retrieval with relevance feedback: from heuristic weight adjustment to optimal learning methods. In: Proc. 2001 Internat. Conf. Image Processing, October 7-10, vol. 3, pp. 2-5.
9. Huang, T.S., Zhou, X.S., Nakazato, M., Wu, Y., Cohen, I., 2002. Leaning in content-based image retrieval. In: The Second Internat. Conf. Development and Learning (ICDL'02).
10. Leung, H., 2003. Representations, Feature Extraction, Matching and Relevance Feedback for Sketch Retrieval. Ph.D. Dissertation, Carnegie Mellon University, June.
11. Liang, S., Sun, Z.X., Li, B., 2005. Sketch retrieval based on spatial relations. In: IEEE Proc. Internat. Conf. Computer Graphics, Imaging and Visualization (cgiv05), July 27-29, Beijing, China, pp. 24-29 (Sarfraz, M., Wang Y.S., Banissi, E., Computer Graphics, Imaging and Visualization: New Trends).
12. Li, B., Sun, Z.X., Liang, S., Zhang, Y.Y., Yuan, B., 2006. Relevance feedback for sketch retrieval based on linear programming classification. In: Pacific-Rim Conf. Multimedia 2006, LNCS4261, Hangzhou, China, November 2-4, pp. 201-210.
13. Qian, F., Li, M.J., Zhang, L., Zhang, H.J., Zhang, B., 2004. Dynamic feature space selection in relevance feedback using support vector machines. In: Proc. Fourth Internat. Workshop Pattern Recognition in Information Systems, Porto, Portugal, April, pp. 186-195.
14. Salton G. Automatic Text Processing (1989), Addison-Wesley, Boston
15. Schölkopf B., Platt J., Shawe-Taylor J., Smola A.J., and Williamson R.C. Estimating the support of a high-dimensional distribution. Neural Comput. 13 (2001) 1443-1471
16. Sciascio E.D., and Mongiello M. Query by sketch and relevance feedback for content-based image retrieval over the Web. J. Visual Lang. Comput. 10 6 (1999) 565-584
17. Sezgin, T.M., 2001. Feature Point Detection and Curve Approximation for Early Processing in Sketch Recognition. Master's Thesis, MIT.
18. Shokoufandeh, A., Dickson, S., Siddiqi, K., Zucker. S., 1999. Indexing using a spectral encoding of topological structure. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, June, pp. 491-497.
19. Veltkamp, R., Tanase, M., 2000. Content-Based Image Retrieval Systems: A Survey. Technical Report UU-CS-2000-34, Shape Algorithmics Group, Institute of Information & Computing Science, University Utrecht, October. .
20. Zhou, X.S., Huang, T.S., 2001. Exploring the nature and variants of relevance feedback. In: Proc. IEEE Workshop Content-based Access of Image and Video Libraries, pp. 94-101.