Building a user-centered semantic hierarchy in image databases

Multimedia Systems

Volumn 12, Issue 4-5, 2007, Pages 325-338

  Rege, Manjeet ^a   Dong, Ming ^a   Fotouhi, Farshad ^a  

^a Wayne State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; HIERARCHICAL SYSTEMS; IMAGE COMMUNICATION SYSTEMS; IMAGE RETRIEVAL; ONLINE SEARCHING; SEMANTICS; USER INTERFACES; WEB BROWSERS;

IMAGE CONTENTS; IMAGE DATABASES;

MULTIMEDIA SYSTEMS;

EID: 33846989448     PISSN: 09424962     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00530-006-0049-6     Document Type: Article

References (40)

1. Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years. IEEE Trans. Pattern Anal. Mach. Intell. 22(12), 1349-1380 (2000)
2. Mehrotra, S., Rui, R., Ortega, M., Huang, T.S.: Supporting content-based queries over images in mars. In: Proceedings of IEEE International Conference on Multimedia Computing Systems, pp. 632-633 (1997)
3. Ma, W.Y., Manjunath, B.: Netra: A toolbox for navigating large image databases. In: Proceedings of IEEE ICIP, pp. 568-571 (1997)
4. Gupta, A., Jain, R.: Visual information retrieval. Commun. ACM 40(5), 70-79 (1997)
5. Rogowitz, B., Frese, T., Smith, J., Bouman, C., Kalin, E.: Perceptual image smilarity experiments. Proc. SPIE 8, 576-590 (1998)
6. Wang, J., Li, J., Wiederhold, G.: Simplicity: semantics-sensitive integrated matching for picture libraries. IEEE Trans. PAMI 23(9), 947-963 (2002)
7. Vailaya, A., Figueiredo, M.A.T., Jain, A.K., Zhang, H.J.: Image classification for content-based image retrieval. IEEE Trans. Image Process. 10(1), 117-129 (2001)
8. Chen, J., Bouman, C.A., Dalton, J.C.: Hierarchical browsing and search of large image databases. IEEE Trans. Image Process. 9, 442-455 (2000)
9. Ji, C., Ma, S.: Combinations of weak classifiers. IEEE Trans. Neural Netw. 8, 32-42 1997
10. Bishop, C.M.: Neural Networks for Pattern Recognition. Oxford University Press, New York (1995)
11. Kuncheva, L.: A theoretical study on six classifier fusion strategies. IEEE Trans. Pattern Anal. Mach. Intell. 24(2), 281-286 (2002)
12. Ponnusamy, A., Breen, C., Khan, L., Wang, L.: Ontology-based image classification using neural networks. In: SPIE: The International Society for Optical Engineering, Boston (2002)
13. Guo, G.-D., Jain, A.K., Ma, W.-Y., Zhang, J.-I: Learning similarity measure for natural image retrieval with relevance feedback. IEEE Trans. Neural Netw. 13(4), 811-820 (2002)
14. Schapire, R.: Theoretical views of boosting and applications. In: 10th International Conference on Algorithmic Learning Theory, pp. 13-25 (1999)
15. Li, J., Wang, J.: Automatic linguistic indexing of pictures by a statistical modeling approach. IEEE Trans. Pattern Anal. Mach. Intell. 25(9), 1075-1088 (2003)
16. Mori, Y., Takahashia, H., Oka, R.: Image-to-word transformation based on dividing and vector quantizing images with words. In: Proceedings of MISRM (1999)
17. Duygulu, P., Barnard, K., de Freitas N., Forsyth, D.: Object recognition as machine translation: learning a lexicon for a fixed image vocabulary. In: Proceedings of ECCV (2002)
18. Jeon, J., Lavrenko, V., Manmatha, R.: Automatic image annotation and retrieval using cross-media relevance models. In: Proceedings of ACM SIGIR (2003)
19. Barnard, K., Duygulu, P., de Fretias, N., Forsyth, D., Blei, D., Jordan, M.I.: Matching words and pictures. J. Mach. Learn. Res. 3, 1107-1135 (2003)
20. Lu, Y., Hu, C., Zhu, X., Zhang, H. J., Yang, Q. : A unified framework for semantics and feature based relevance feedback in image retrieval systems. In: Proceedings of ACM Multimedia (2000)
21. Lee, C.S., Ma, W.-Y., Zhang, H.J.: Information embedding based on users relevance feedback for image retrieval. In: Proceedings of SPIE International Conference on Multimedia Storage and Archiving Systems (1999)
22. Fournier, J., Cord, M.: Long-term similarity learning in content-based image retrieval. In: Proceedings of IEEE International Conference on Image Processing (2002)
23. Yang, J., Li, Q., Zhuang, Y.: Image retrieval and relevance feedback using peer indexing. In: Proceedings of IEEE International Conference on Multimedia and Expo (2002)
24. Li, M., Chen, Z., Zhang, H.: Statistical correlation analysis in image retrieval. Pattern Recogn. 35, 2687-2693 (2002)
25. Zhuang, Y., Yang, J., Li, Q., Pan, Y.: A graphic-theoretic model for incremental relevance feedback in image retrieval. In: Proceedings of IEEE International Conference on Image Processing (2002)
26. Heisterkamp, D.R.: Building a latent semantic index of an image database from patterns of relevance feedback. In: Proceedings of 16th International Conference on Pattern Recognition (2002)
27. He, X., King, O., Ma, W.-Y., Li, M., Zhang, H.:-J.: Learning a semantic space from user's relevance feedback for image retrieval. IEEE Trans. Circuits Syst. Video Technol. 13(1), 39-48 (2003)
28. Hoi, S.C.H., Lyu, M.R., Jin, R.: A unified log-based relevance feedback scheme for image retrieval. IEEE Trans. Knowl. Data Eng. 18(4), 509-524 (2006)
29. Kohrs, A., Merialdo, B.: Improving collaborative filtering with multimedia indexing techniques to create user-adapting web sites. In: Proceedings of ACM International Conference on Multimedia (1999)
30. Zhang, H.J., Zhong, D.: A scheme for visual feature based image indexing. In: Proceedings of SPIE Conference on Storage Retrieval Image Video Databases, San Jose, pp. 36-46 (1995)
31. Zhong, D., Zhang, H.J., Chang, S.F.: Clustering methods for video browsing and annotation. In: Proceedings of SPIE Conference on Storage Retrieval Image Video Databases IV, San Jose, pp. 239-246 (1996)
32. Tieu, K., Viola, P.: Boosting image retrieval. Proc. IEEE CVPR 1, 228-235 (2000)
33. Santini, S., Gupta, A., Jain, R.: Emergent semantics through interaction in image databases. IEEE Trans. Knowl. Data Eng. 13(3), 337-351 (2001)
34. Picard, R., Minka, T., Szummer, M.: Modeling subjectivity in image libraries. Proc. IEEE TCIP. 1, 777-780 (1996)
35. Rui, Y., Huang, T., Ortega, M., Mehrotra, S.: Relevance feedback: A power tool in interactive content-based image retrieval. IEEE Trans. Circuits Syst. Video Tech. 13(4), 811-820 (2002)
36. Chawla, N., Moore, T, Hall, L., Bowyer, K., Kegelmeyer, W., Springer, C.: Distributed learning with bagging-like performance. Pattern Recogn. Lett. 24, 455-471 (2003)
37. Vailaya, A., Jain, A.K., Zhang, H.J.: On image classification: City vs. landscape. Pattern Recogn. 31, 1921-1936 (1998)
38. Vailaya, A., Zhang, H., Liu, F., Jain, A.K.: Automatic image orientation detection. IEEE Trans. Image Process. 11, 746755 (2002)
39. Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8, 679-698 (1986)
40. Jain, A., Vailaya, A.: Image retrieval using color and shape. Pattern Recogn. 29, 1233-1244 (1996)