Image re-ranking and rank aggregation based on similarity of ranked lists

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6854 LNCS, Issue PART 1, 2011, Pages 369-376

  Guimarães Pedronette, Daniel Carlos ^a   Da S Torres, Ricardo ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

CBIR SYSTEM; CONTENT-BASED IMAGE RETRIEVAL; DISTANCE FUNCTIONS; QUERY IMAGES; RANK AGGREGATION; RE-RANKING; SIMILAR IMAGE; TEXTURE DESCRIPTORS; CONTENTBASED IMAGE RETRIEVAL (CBIR) SYSTEM; IMAGE RE RANKINGS;

IMAGE ANALYSIS; SEARCH ENGINES; CONTENT BASED RETRIEVAL; TEXTURES;

IMAGE RETRIEVAL; IMAGE ENHANCEMENT;

EID: 80052794050     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23672-3_45     Document Type: Conference Paper

References (25)

1. Abowd, G.D., Dey, A.K., Brown, P.J., Davies, N., Smith, M., Steggles, P.: Towards a better understanding of context and context-awareness. In: Gellersen, H.-W. (ed.) HUC 1999. LNCS, vol. 1707, pp. 304-307. Springer, Heidelberg (1999)
2. Arica, N., Vural, F.T.Y.: Bas: a perceptual shape descriptor based on the beam angle statistics. Pattern Recogn. Lett. 24(9-10), 1627-1639 (2003)
3. Bai, X., Wang, B., Wang, X., Liu, W., Tu, Z.: Co-transduction for shape retrieval. In: ECCV, vol. 3, pp. 328-341 (2010)
4. Belongie, S., Malik, J., Puzicha, J.: Shape matching and object recognition using shape contexts. PAMI 24(4), 509-522 (2002)
5. Brodatz, P.: Textures: A Photographic Album for Artists and Designers. Dover, New York (1966)
6. Faria, F.F., Veloso, A., Almeida, H.M., Valle, E., da, S., Torres, R., Gonçalves, M.A., Meira Jr., W.: Learning to rank for content-based image retrieval. In: MIR 2010, pp. 285-294 (2010)
7. Huang, J., Kumar, S.R., Mitra, M., Zhu, W.J., Zabih, R.: Image indexing using color correlograms. In: CVPR 1997, p. 762 (1997)
8. Kontschieder, P., Donoser, M., Bischof, H.: Beyond pairwise shape similarity analysis. In: Zha, H., Taniguchi, R.-i., Maybank, S. (eds.) ACCV 2009. LNCS, vol. 5996, pp. 655-666. Springer, Heidelberg (2010)
9. Kovalev, V., Volmer, S.: Color co-occurence descriptors for querying-by-example. In: MMM 1998, p. 32 (1998)
10. Ling, H., Jacobs, D.W.: Shape classification using the inner-distance. PAMI 29(2), 286-299 (2007)
11. Ling, H., Yang, X., Latecki, L.J.: Balancing deformability and discriminability for shape matching. In: ECCV, vol. 3, pp. 411-424 (2010)
12. Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. PAMI 24(7), 971-987 (2002)
13. Pedronette, D.C.G., da S. Torres, R.: Exploiting contextual information for image re-ranking. In: Bloch, I., Cesar Jr., R.M. (eds.) CIARP 2010. LNCS, vol. 6419, pp. 541-548. Springer, Heidelberg (2010)
14. Pedronette, D.C.G., da, S., Torres, R.: Shape retrieval using contour features and distance optmization. In: VISAPP, vol. 1, p. 197-202 (2010)
15. Perronnin, F., Liu, Y., Renders, J.M.: A family of contextual measures of similarity between distributions with application to image retrieval. In: CVPR, pp. 2358-2365 (2009)
16. van Rijsbergen, C.: Information Retrieval (1979)
17. da, S., Torres, R., Falcão, A.X.: Contour Salience Descriptors for Effective Image Retrieval and Analysis. Image and Vision Computing 25(1), 3-13 (2007)
18. Schwander, O., Nielsen, F.: Reranking with contextual dissimilarity measures from representational bregmanl k-means. In: VISAPP, vol. 1, pp. 118-122 (2010)
19. Stehling, R.O., Nascimento, M.A., Falcão, A.X.: A compact and efficient image retrieval approach based on border/interior pixel classification. In: CIKM 2002, pp. 102-109 (2002)
20. Swain, M.J., Ballard, D.H.: Color indexing. IJCV 7(1), 11-32 (1991)
21. Tao, B., Dickinson, B.W.: Texture recognition and image retrieval using gradient indexing. JVCIR 11(3), 327-342 (2000)
22. Tu, Z., Yuille, A.L.: Shape matching and recognition - using generative models and informative features. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3023, pp. 195-209. Springer, Heidelberg (2004)
23. van de Weijer, J., Schmid, C.: Coloring local feature extraction. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 334-348. Springer, Heidelberg (2006)
24. Yang, X., Bai, X., Latecki, L.J., Tu, Z.: Improving shape retrieval by learning graph transduction. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part IV. LNCS, vol. 5305, pp. 788-801. Springer, Heidelberg (2008)
25. Yang, X., Koknar-Tezel, S., Latecki, L.J.: Locally constrained diffusion process on locally densified distance spaces with applications to shape retrieval. In: CVPR, pp. 357-364 (2009)