Trend of content-based image retrieval on the internet

Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009

Volumn , Issue , 2009, Pages 733-738

  Xia, Dingyuan ^a,b   Fu, Pian ^a   Huang, Chaobing ^a   Wang, Yu ^a  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^b GUILIN UNIVERSITY OF ELECTRONIC TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED RETRIEVAL; SEMANTICS;

APPLICATION REQUIREMENTS; CONTENT BASED IMAGE RETRIEVAL; HIGH LEVEL SEMANTICS; IMAGE TEXTS; MULTIMODES; RELEVANCE FEEDBACK; VISUAL FEATURE;

IMAGE ENHANCEMENT;

EID: 77952285398     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIG.2009.16     Document Type: Conference Paper

References (47)

1. H. Tamura, and N. Yokoya, "Image database systems: a survey", Pattern Recognition, 1984, vol.17, no. 1, pp. 15-23.
2. W. Niblack, R. Barber, and M. Flickner, "The QBIC project: querying images by content using color, texture and shape", Proc. SPIE Conf. on Visual Commun. and Image, 1994, pp. 203-207.
3. V. N. Guidivada, and V. V. Raghavan, "Contend-based image retrieval systems", Computer, 1995, vol. 28, no. 9, pp. 18-22.
4. Zijun Yang, and Jay Kuo C-C. "Semantic Classification and Composite Indexing Approach to Robust Image Retrieval", Image Processing, ICIP 99, 1999, vol. 1, pp. 134-138.
5. A. Vailaya, M. A. T. Figueiredo, A. K. Jain, et al., "Image Classification for Content-Based Indexing", IEEE Trans. on Image Processing, 2001, vol. 10, no.1, pp. 117-130.
6. M. Flickner, H. Sawhney, W. Niblack, et al., "Query by image and video content: the QBIC system", Computer, 1995, vol. 28, no. 9, pp. 23-32.
7. A. Pentland, R. W. Picard, and S. Sclaroff, "Photobook: content-based manipulation of image databases", International Journal of Computer Vision, 1996, vol. 18, pp. 233-254.
8. Y. Rui, T. S. Huang, and S. Mehrotra, "Content-based image retrieval with relevance feedback in MARS", Proc. of IEEE Conference on Image Processing, 1997, pp. 815-818.
9. Ye Lu, Chunhui Hu, Xingquan Zhu, et al., "A unified framework for semantics and feature based relevance feedback in image retrieval systems", Proceedings of the 8th ACM Conference on Multimedia, October 30 - November 3, 2000, Los Angeles, CA, USA. ACM Multimedia 2000, pp. 31-37.
10. Y. Xu, and Y. J. Zhang, "Image retrieval framework driven by association feedback with feature element evaluation built", Proceedings of SPIE, 2001, pp. 118-129.
11. K. Barnard, and D. Forsyth, "Learning the semantics of words and pictures", Proceedings of the 8th International Conference on Computer Vision, Vancouver, B.C, Canada, 2001, vol. 2, pp. 408-415.
12. Zhu Xing-quan, Zhang Hong-jiang, Liu Wen-yin, et al., "iFind: An Image Retrieval System with Relevance Feedback Based on the Combination of Semantics and Visual Features", Chinese Journal of Computers, 2002, vol. 25, no. 7, pp. 681-688.
13. Xiaofei He, Oliver King, Weiying Ma, et al., "Learning a Semantic Space from User's Relevance Feedback for Image Retrieval", IEEE Trans. on Circuit and Systems for Video Technology, 2003, vol. 13, no. 1, pp. 39-48.
14. S. Sclaroff, L. Taycher, and M. L. Cascia, "ImageRover: a content-based image browser for the World Wide Web", Proceedings of IEEE Workshop on Content-based Access of Image and Video Libraries, 1997, pp. 2-9.
15. Y. A. Aslandogan, and C. T. Yu, "A Web search agent for content-based indexing of personal images", Proceedings of ACM SIGIR, Athens, Greece, 2000, pp. 34-45.
16. J. R. Smith, and S. F. Chang, "An image and video search engine for the World Wide Web", Proceedings of SPIE Conference on Storage and Retrieval for Image and Video Databases V, San Jose, CA, 1997, pp. 84-95.
17. M. Ortega-Binderberger, S. Mehrotra, K. Charkrabarti, et al., "WebMARS: A multimedia search engine", Proceedings of SPIE on Electronic Imaging 2000, Internet Imaging, San Jose, CA, 2000, pp. 314-321.
18. M. L. Kherfi, D. Ziou, and A. Bernardi, "Atlas WISE: A Web based image retrieval engine", Proceedings of International Conference on Image and Signal Processing (ICISP), Agadir, Morocco, 2003, pp. 69-77.
19. Yunquan Chen, and Dingyuan Xia, "Design and Implementation of Image Search Engine Based on Fusion of Semantics and Visual Features", Application Research of Computers, 2007, vol. 24, no. S, pp. 1761-1762.
20. M. Swain, and M. Ballard, "Color indexing", International Journal of Computer Vision, 1991, vol. 7, no. 1, pp. 11-32.
21. Jing Huang, "Image indexing using color correlograms", Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition, San Juan, IEEE Computer Society, 1997, pp. 762-768.
22. B. M. Mehtre, "Content-based image retrieval using a composite color-shape approach", Information Processing & Management, 1998, vol. 34, no. 1, pp. 109-120.
23. L. Cinque, S. Levialdi, K. Olsen, et al., "Color-based image retrieval using spatial-chromatic histograms", Proceedings of IEEE International Conference on Multimedia Computing and System, 1999, pp. 969-973.
24. H. Tamura, S. Mori, and T. Yamawaki, "Texture features corresponding to visual perception", IEEE Trans. on Systems, Man and Cybernetics, 1978, vol. 8, no. 6, pp. 460-473.
25. B. S. Manjunath, and W. Y. Ma, "Texture feature for browsing and retrieval of image data", IEEE Trans. on Pattern Analysis and Machine Intelligence, 1996, vol. 18, no. 8, pp. 837-842.
26. Dengsheng Zhang, and Guojun Lu, "Review of shape representation and description techniques", Pattern Recognition, 2004, vol. 37, pp. 1-19.
27. D. Marr, Vision: a computational investigation into the human representation and processing of visual information, W. H. Freeman and Company, San Francisco, 1982.
28. P. Salembier, and J. R. Smith, "MPEG-7 multimedia description schemes", IEEE Trans. on Circuits and Systems for Video Technology, 2001, vol. 11, no. 6, pp. 748-759.
29. Jiebo Luo, and David Crandall, "Color object detection using spatial-color joint probability functions", IEEE Trans. on Image Processing, 2006, vol. 15, no. 6, pp. 1443-1453.
30. Joost Van de Weijer, Theo Gevers, and Andrew D. Bagdanov, "Boosting color saliency in image feature detection", IEEE Trans. on Pattern Analysis and Machine Intelligence, 2006, vol. 28, no. 1, pp. 150-156.
31. Yu Lin-sen, and Zhang Tian-wen, "Image Clustering Based on Correlation Between Visual Features and Annotations", Chinese Journal of Electronics, 2006, vol. 34, no. 7, pp. 1265-1269.
32. Lu Han-qing, and Liu Jing, "Image Annotation Based on Graph Learning", Chinese Journal of Computers. 2008, vol. 31, no. 9, pp. 1629-1639.
33. S. C. H. Hoi, M. R. Lyu, and R. Jin, "A unified log-based relevance feedback scheme for image retrieval", IEEE Trans. on Knowledge and Data Engineering, 2006, vol. 18, no. 4, pp. 509-524.
34. Dacheng Tao, Xiaoou Tang, Xuelong Li, et al., "Asymmetric Bagging and Random Subspace for Support Vector Machines-based Relevance Feedback in Image Retrieval", IEEE Trans. on Pattern Analysis and Machine Intelligence, 2006, vol. 28, no. 7, pp. 1088-1099.
35. S-C Chen, S. H. Rubin, M-L Shyu, et al., "A dynamic user concept pattern learning framework for content-based image retrieval", Part C: Applications and reviews, IEEE Trans. on Systems, Man and Cybernetics, 2006, vol. 36, no. 6, pp. 772-783.
36. Mao Xia, Ding Yukuan, and Muta Itsuya, "Analysis of Affective Characteristics and Evaluation on Harmonious Feeling of Image", Chinese Journal of Electronics, 2001, vol. 12A, no. 29, pp. 1923-1927.
37. Kazuhiro Kuroda, and Masafumi Hagiwara, "An image retrieval system by impression words and specific object names-IRIS", Neurocomputing, 2002, vol. 43, no. 1-4, pp. 259-276.
38. P-T Yap, and R. Paramesran, "Content-based image retrieval using Legendre chromaticity distribution moments", IEE Proceedings of Vision, Image and Signal Processing, 2006, vol. 153, no. 1, pp. 17-24.
39. J. K. Bradley, and R. Schapire, "Filterboost: Regression and classi-fication on large datasets", Platt J C, Koller D, Singer Y, Roweis S. Advances in Neural Information Processing Systems, Cambridge, MA, MIT Press, 2008, vol. 20, pp. 185-192.
40. Dingyuan Xia, and Shuyu Liu, "Techniques and Applications of Content-Based Image Retrieval on the Internet", IS&T/SPIE 17th Annual Symposium on Electronic Imaging Science and Technology, January 16-20, 2005, San Jose, California, USA, Proceedings of SPIE, 2005, vol. 5670, pp. 272-279.
41. Shengsheng Yu, Chaobing Huang, and Jingli Zhou, "Color image retrieval based on color-texture-edge feature histograms", International Journal of Image and Graphics, 2006, vol. 6, no. 4, pp. 583-598.
42. Yu Wang, Mingyue Ding, Chengping Zhou, et al., "Interactive relevance feedback mechanism for image retrieval using rough sets", Knowledge-Based Systems, 2006, vol. 19, no. 8, pp. 696-703.
43. S. Brin, and L. Page, "The anatomy of a large-scale hypertextual Web search engine", Computer Networks, 1998, vol. 30, no. 7, pp. 107-117.
44. J. Cho, H. Carcia-Molina, and L. Page, "Efficient crawling through URL ordering", Computer Networks, 1998, vol. 30, no. 7, pp. 161-172.
45. Jason J. Jung, "Exploiting semantic annotation to supporting user browsing on the Web", Knowledge-Based Systems, 2007, vol. 20, no. 4, pp. 373-381.
46. Wu Li-de, Luo Hang-zai, and Xue Xiang-yang, "Fast Similarity Retrieval Based on Multiple-Inverted File", Chinese Journal of Computers. 2000, vol. 23, no. 11, pp. 1156-1160.
47. Zhang Jun-qi, Zhou Xiang-dong, and Shi Bai-le, "High Dimensional Hybrid Index Based on Query Sampling", Journal of Software, 2008, vol. 19, no. 8, pp. 2054-2065.