Efficient filtering with sketches in the ferret toolkit

Proceedings of the ACM International Multimedia Conference and Exhibition

Volumn , Issue , 2006, Pages 279-288

  Lv, Qin ^a   Josephson, William ^a   Wang, Zhe ^a   Charikar, Moses ^a   Li, Kai ^a  

^a Princeton University   (United States)

Author keywords

Feature rich data; Filtering; Similarity search; Sketch; Toolkit

Indexed keywords

APPROXIMATION ALGORITHMS; IMAGE ANALYSIS; OBJECT RECOGNITION; STORAGE ALLOCATION (COMPUTER);

FEATURE-RICH DATA; SIMILARITY SEARCH; SKETCHES; TOOLKITS;

FEATURE EXTRACTION;

EID: 34547441338     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1178677.1178715     Document Type: Conference Paper

References (29)

1. S. Balko, I. Schmitt, and G. Saake. The active vertice method: A performance filtering approach to high-dimensional indexing. Elsevier Data and Knowledge Engineering (DKE), 51(3):369-397, 2004.
2. C. Böhm, S. Berchtold, and D. A. Keim. Search in high-dimensional spaces - index structures for improving the performance of multimedia databases. ACM Computing Surveys (CSUR), 33(3):322-373, 2001.
3. A. Beygelzimer, S. Kakade, and J. Langford. Cover trees for nearest neighbor. In 23rd International Conference on Machine Learning (ICML'06), 2006.
4. A. Cardone, S. K. Gupta, and M. Karnik. A survey of shape similarity assessment algorithms for product design and manufacturing applications. Journal of Computing and Information Science in Engineering, 3(2):109-118, 2003.
5. E. Chavez, G. Navarro, R. A. Baeza-Yates, and J. L. Marroqun. Searching in metric spaces. ACM Computing Surveys, 33(3):273-321, 2001.
6. M. Datar, N. Immorlica, P. Indyk, and V. S. Mirrokni. Locality-sensitive hashing scheme based on p-stable distributions. In Proceedings of the 20th annual symposium on Computational geometry(SCG), pages 253-262, 2004.
7. Y. Deng and B. S. Manjunath. Unsupervised segmentation of color-texture regions in images and video. IEEE Trans. on Pattern Analysis and Machine Intelligence, 23(8):800-810, 2001.
8. D. Dobkin and R. Lipton. Multidimensional search problems. SIAM J. Computing, 5:181-186, 1976.
9. J. S. Garofolo, L. F. Lamel, W. M. Fisher, J. G. Fiscus, D. S. Pallett, and N. L. Dahlgren. DARPA TIMIT acoustic-phonetic continuous speech corpus, 1993.
10. J. Gemmell, G. Bell, and R. Lueder. Mylifebits: a personal database for everything. Communications of the ACM, 49(1):88-95, 2006.
11. A. Gionis, P. Indyk, and R. Motwani. Similarity search in high dimensions via hashing. In Proceedings of 25th International Conference on Very Large Data Bases(VLDB), pages 518-529, 1999.
12. L. Huston, R. Sukthankar, D. Hoiem, and J. Zhang. Snapfind: Brute force interactive image retrieval. In Proceedings of International Conference on Image Processing and Graphics, 2004.
13. P. Indyk and R. Motwani. Approximate nearest neighbors: Towards removing the curse of dimensionality. In Proceedings of the 30th Annual ACM Symposium on Theory of Computing, pages 604-613, 1998.
14. N. Iyer, S. Jayanti, K. Lou, Y. Kalyanaraman, and K. Ramani. Three dimensional shape searching: State-of-the-art review and future trends. Computer-Aided Design, 37(5):509-530, 2005.
15. W. Josephson, Q. Lv, Z. Wang, M. Charikar, and K. Li. Analysis of filtering for similarity search using sketches. Technical Report TR-760-06, Princeton University, Department of Computer Science, 2006.
16. M. Kazhdan, T. Funkhouser, and S. Rusinkiewicz. Rotation invariant spherical harmonic representation of 3D shape descriptors. In Proc. of the Eurographics Symposium on Geometry Processing, 2003.
17. R. Krauthgamer and J. R. Lee. Navigating nets: Simple algorithms for proximity search. In Proceedings of the 15th ACM Symposium on Discrete Algorithms, pages 798-807, 2004.
18. Q. Lv, M. Charikar, and K. Li. Image similarity search with compact data structures. In Proc. of the 13th ACM Conf. on Information and Knowledge Management, pages 208-217, 2004.
19. Q. Lv, W. Josephson, Z. Wang, M. Charikar, and K. Li. Ferret: A toolkit for content-based similarity search of feature-rich data. In Proceedings of ACM Eurosys 2006, 2006.
20. S. Meiser. Point location in arrangements of hyperplanes. Information and Computation, 106(2):286-303, 1993.
21. R. Panigrahy. Entropy based nearest neighbor search in high dimensions. In Proceedings of ACM-SIAM Symposium on Discrete Algorithms(SODA), Jan 2006.
22. Y. Rubner, C. Tomasi, and L. J. Guibas. The earth mover's distance as a metric for image retrieval. International Journal of Computer Vision, 40(2):99-121, 2000.
23. Y. Rui, T. S. Huang, and S.-F. Chang. Image retrieval: Current techniques, promising directions and open issues. Journal of Visual Communication and Image Representation, 10(4):39-62, 1999.
24. Y. Sakurai, M. Yoshikawa, S. Uemura, and H. Kojima. The a-tree: An index structure for high-dimensional spaces using relative approximation. In Proceedings of the 26th International Conference on Very Large Databases (VLDB), pages 516-526, 2000.
25. A. W. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain. Content-based image retrieval at the end of the early years. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(12): 1349-1380, 2000.
26. Spotlight: Find anything on your mac instantly, http ://images.apple.com/ macosx/pdf/MacOSX_Spotlight_TB.pdf.
27. G. Tzanetakis and P. Cook. MARSYAS: A Framework for Audio Analysis. Cambridge University Press, 2000.
28. R. C. Veltkamp and M. Tanase. Content-based image retrieval systems: A survey. Technical Report UU-CS-2000-34, Utrecht University, Information and Computer Sciences, 2000.
29. R. Weber, H.-J. Schek, and S. Blott. A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces. In Proceedings of the 24th International Conference on Very Large Data Bases (VLDB), pages 194-205, 1998.