Empirical evaluation of dissimilarity measures for 3D object retrieval with application to multi-feature retrieval

Proceedings - International Workshop on Content-Based Multimedia Indexing

Volumn 2015-July, Issue , 2015, Pages

  Gregor, Robert ^a   Lamprecht, Andreas ^a   Sipiran, Ivan ^a   Schreck, Tobias ^a   Bustos, Benjamin ^b  

^a UNIVERSITY OF KONSTANZ   (Germany)

^b UNIVERSITY OF CHILE   (Chile)

Author keywords

[No Author keywords available]

Indexed keywords

INDEXING (OF INFORMATION);

CONTENT-BASED MULTIMEDIA RETRIEVAL; DISSIMILARITY FUNCTION; DISSIMILARITY MEASURES; EMPIRICAL EVALUATIONS; FEATURE EXTRACTION METHODS; HIGH DIMENSIONAL FEATURE; MULTIMEDIA RETRIEVAL; RETRIEVAL EFFECTIVENESS;

IMAGE SEGMENTATION;

EID: 84940734226     PISSN: 19493991     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMI.2015.7153629     Document Type: Conference Paper

References (24)

1. Supplementary material. http://dissimilarity-measure-eval. dbvis. de.
2. The princeton shape benchmark. In Proceedings of the Shape Modeling International, pages 167-178, 2004.
3. Charu C. Aggarwal, Alexander Hinneburg, and Daniel A. Keim. On the surprising behavior of distance metrics in high dimensional space. In Database Theory ICDT 2001, volume 1973 of Lecture Notes in Computer Science, pages 420-434. 2001.
4. Relja Arandjelovic and Andrew Zisserman. All About VLAD. IEEE Conference on Computer Vision and Pattern Recognition, pages 1578-1585, 2013.
5. Ricardo A. Baeza-Yates and Berthier A. Ribeiro-Neto. Modern Information Retrieval-the concepts and technology behind search, Second edition. Pearson Education Ltd., Harlow, England, 2011.
6. J. Barrios and B. Bustos. Competitive content-based video copy detection using global descriptors. Multimedia Tools and Applications, 62(1):75-110, 2013.
7. B. Bustos, D. Keim, D. Saupe, T. Schreck, and D. Vranic. An experimental effectiveness comparison of methods for 3d similarity search. 6(1):39-54, 2006.
8. B. Bustos, D. A. Keim, D. Saupe, T. Schreck, and D. Vranic. Featurebased Similarity Search in 3D Object Databases. ACM Computing Surveys (CSUR), 37(4):345-387, 2005.
9. K. Chatfield, V. Lempitsky, A. Vedaldi, and A. Zisserman. The devil is in the details: an evaluation of recent feature encoding methods. Procedings of the British Machine Vision Conference 2011, (1):76. 1-76. 12, 2011.
10. R. Datta, D. Joshi, J. Li, and J. Z. Wang. Image retrieval: Ideas, influences, and trends of the new age. ACM Computing Surveys (CSUR), 40(2):1-60, 2008.
11. C. Dwork, R. Kumar, M. Naor, and D. Sivakumar. Rank aggregation methods for the Web. In Proceedings of the 10th international conference on World Wide Web, pages 613-622. ACM, 2001.
12. D. Francois, V. Wertz, and M. Verieysen. The concentration of fractional distances. IEEE Transactions on Knowledge and Data Engineering, 19(7):873-886, 2007.
13. T. Funkhouser, P. Min, M. Kazhdan, J. Chen, A. Halderman, D. Dobkin, and D. Jacobs. A search engine for 3D models. ACM Transactions on Graphics, 22(1):83-105, January 2003.
14. J. Han and M. Kamber. Data Mining: Concepts and Techniques. Morgan Kauffman, 2nd edition, 2006.
15. S. Jayanti, Y. Kalyanaraman, N. Iyer, and K. Ramani. Developing an engineering shape benchmark for CAD models. Computer-Aided Design, 38(9):939-953, 2006.
16. H. Liu and H. Motoda, editors. Computational Methods of Feature Selection. Chapman and Hall/CRC, Boca Raton, October 2007.
17. J. Liu, Z. Huang, H. Cai, H. T. Shen, C. W. Ngo, and W. Wang. Nearduplicate video retrieval: Current research and future trends. ACM Comput. Surv., 45(4):44:1-44:23, 2013.
18. M. Müller. Information Retrieval for Music and Motion. Springer, 2007.
19. O. Pele and M. Werman. The quadratic-chi histogram distance family. In ECCV, 2010.
20. J. Puzicha, Y. Rubner, C. Tomasi, and J. M. Buhmann. Empirical evaluation of dissimilarity measures for color and texture. In ICCV, pages 1165-1172, 1999.
21. T. Schreck, M. Scherer, M. Walter, B. Bustos, S. M. Yoon, and A. Kuijper. Graph-based combinations of fragment descriptors for improved 3d object retrieval. In Proc. ACM Multimedia Systems Conference, pages 23-28, 2012.
22. I. Sipiran, R. Meruane, B. Bustos, T. Schreck, B. Li, Y. Lu, and H. Johan. A benchmark of simulated range images for partial shape retrieval. The Visual Computer, 30(11):1293-1308, 2014.
23. J. W. Tangelder and R. C. Veltkamp. A survey of content based 3d shape retrieval methods. Multimedia Tools Appl., 39(3):441-471, September 2008.
24. D. Vranic. DESIRE: a composite 3d-shape descriptor. In Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, ICME, pages 962-965, 2005.