A powerful partial relevance feedback for 3D model retrieval

Journal of Multimedia

Volumn 4, Issue 3, 2009, Pages 120-128

  Hu, Baokun ^a   Liu, Yusheng ^a   Gao, Shuming ^a   Hu, Jing ^a   Sun, Rui ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

3D model retrieval; Image retrieval; Partial relevance feedback; Partial retrieval; Relevance feedback

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE RETRIEVAL; QUERY PROCESSING;

3 D MODEL RETRIEVALS; NEW MATHEMATICAL MODEL; OPTIMAL SOLUTIONS; PARTIAL RETRIEVAL; PRECISION AND RECALL; RELEVANCE FEEDBACK; SIMILARITY MEASUREMENTS; SVM-BASED CLASSIFIERS;

SELF ORGANIZING MAPS;

EID: 77956077352     PISSN: 17962048     EISSN: None     Source Type: Journal    
DOI: 10.4304/jmm.4.3.120-128     Document Type: Article

References (16)

1. Iyer, N., Jayanti S., Lou K., Kalyanaraman Y., Ramani K., Three-dimensional shape searching: state-of-the-art review and future trends. Compute-Aided Design. 2005, 37(5):509-530.
2. Bang, H.Y., Chen, T., 2002. Feature Space Warping: An Approach to Relevance Feedback. IEEE Int. Conf. on Image Processing. Rochester, New York, USA, p.22-25.
3. Atmosukarto I., Leow W. K., and Huang Z., Feature combination and relevance feedback for 3D model retrieval, In: MMM, pp. 334-339 (2005).
4. P. Papadakis, I. Pratikakis, T. Trafalis, T. Theoharis and S. Perantonis, Relevance Feedback in Content-based 3D Object Retrieval: A Comparative Study, Computer-Aided Design and Applications Journal, 5, 5 (2008), pp. 753-853
5. Biao L. and Zheng Q. A powerful relevance feedback mechanism for content-based 3D model retrieval. Multimedia Tools and Applications archive. 40(1): 135-150(2008).
6. Hu B., Liu Y., Gao S., 2007. Parallel global optimal approach of feedback for 3D CAD model retrieval. Proceedings of 2007 10th IEEE International Conference on CAD/Graphics, p.132-137.
7. Eland M., Tal A., and Ar S., Content based retrieval of VRML objects - an iterative and interactive approach. EG Multimedia 39, 97-108 (2001).
8. Leifman G., Meir R., and Tal A., Semantic-oriented 3d shape retrieval using relevance feedback, The Visual Computer (Pacific Graphics), 21(8-10), 865-875, Oct. 2005.
9. Novotni, M., Park, G.J., Wessel, R., Klein, R., 2005. Evaluation of Kernel Based Methods for Relevance Feedback in 3D Shape Retrieval. Proc. 4th Int. Workshop on Content-based Multimedia Indexing. Riga, Latvia.
10. Shilane P., Min P., Kazhdan M., Funkhouser T., The Princeton shape benchmark. In: Proceedings of Shape Modeling and Applications, Italy: IEEE Press, 2004: 167-17.
11. Hu B., Liu Y., Gao S., Hu J 2008 Partial Relevance Feedback for 3D Model Retrieval. Computer Science and Computational Technology, 2008. ISCSCT '08. 20-22 Dec. 2008, Volume 2 Page(s):198-201
12. Bimbo Del. A., Pala P., 2006, Content based Retrieval of 3D Models, ACM Transactions on Multimedia Computing, Communications, and Applications,. 2 (1):20-43.
13. Chen, D.Y., Tian, X.P., Shen, Y.T., Ouhyoung, M., 2003. On visual similarity based 3D model retrieval. Computer Graphics Forum, 22(3): 223-232.
14. Vapnik, VN. 1998 Statistical Learning Theory Adaptive and Learning Systems for Signal Processing, Communications, and Control. Wiley: New York;.
15. Rui Y., and Huang T.S., 2000, Optimizing learning in image retrieval, Proceedings of IEEE Conference Computer Vision and Pattern Recognition, South Carolina, p.236-243.
16. Zhang D., Lu G., 2002, An integrated approach to shape based image retrieval, The Fifth Asian Conference on Computer Vision, Melbourne, Australia p.652-657.