Zijun Yang¹ and C.-C. Jay Kuo¹

¹Integrated Media Systems Center Department of Electrical Engineering-Systems University of Southern California, Los Angeles, CA 90089-2564

REFERENCES

1. [1] Abdel-Mottaleb M., Krishnamachari, S., “Color representation by multiple local histogram,” ISO/IEC/JTC1/ SC29/WG11, pp. 648, Lancaster, UK, Feb. (1999).
2. [2] ACTS-DICEMAN, ISO/IEC/JTC1/SC29/ WG11, pp. 184, Lancaster, UK, Feb. (1999).
3. [3] ACTS-DICEMAN, ISO/IEC/JTC1/SC29/ WG11, pp. 186, Lancaster, UK, Feb. (1999).
4. [4] Aksoy, S. and Haralick, R. M., “Textural features for image database retrieval,” in IEEE CVPR'98 Workshop on Content-Based Access of Image and Video Libraries, (1998).
5. [5] Alata, O., Cariou, C., Ramannanjarasoa, C. and Najim, M., “Classification of rotated and scaled textures using HMHV spectrum estimation and the Fourier-Mellin Transform,” in IEEE International Conference on Image Processing, (1998).
6. [6] Bach, J. R., Fuller, C., Gupta, A., Hampapur, A., Horowitz, B., Humphrey, R., Jain, R., and Shu, C. F., “The Virage image search engine: an open framework for image management,” in SPIE Storage and Retrieval for Image and Video Databases V, (1996).
7. [7] Beek, P. V., Qian, R. and Sezan, I., “Scalable blob histogram descriptor,” ISO/IEC/JTC1/SC29/WG11, pp. 430, Lancaster, UK, Feb. (1999).
8. [8] Bhanu, B., Qing, S. and Peng, J., “Learning integrated online indexing for image databases,” in IEEE International Conference on Image Processing, (1998).
9. [9] Bober, M., ISO/IEC/JTC1/SC29/WG11 ,pp. 320, Lancaster, UK, Feb. (1999).
10. [10] Bouet, M. and Djeraba, C., “Powerful image organization in visual retrieval systems,” in ACM Multimedia'98, Bristol, UK, (1998).
11. [11] Bowman, C., Danzig, P., Hardy, D., Maber, U., and Schwartz, M., “The Harvest information discovery and access system,” in the 2nd International World Wide Web Conference, (1994).
12. [12] Caron, C., Challapali, K. and Yan, Y., ISO/IEC/JTC1/SC29/WG11, pp. 646, Lancaster, UK, Feb. (1999).
13. [13] Carson, C., Belongie, S., Greenspan, H. and Malik, J., “Region-based image querying,” in IEEE CVPR'97 Workshop on Content-Based Access of Image and Video Libraries, (1997).
14. [14] Carson, C., Belongie, S., Greenspan, H., and Malik, J., “Blobworld: image segmentation using expectation- maximization and its application to image querying,” in submitted to IEEE Trans. on Pattern Analysis and Machine Intelligence, (1998).
15. [15] Cha, K. H., Lee, H. A., Park, J. D., Ryu P.-M., Chae Y.-S., and Park S.-Y., “Representation of the situational meaning of an image based on domain ontology,” ISO/IEC/JTC1/SC29/WG11 pp. 331, Lancaster, UK, Feb. (1999).
16. [16] Chakrabarti, S., Dom, B., Kumar, S., Raghavan, P., Rajagopalan, S., Tomkins, A., Gibson, D. and Kleinberg, J., “Mining the Web's link structure,” in IEEE Computer Magazine, Aug. (1999).
17. [17] Chang, S. F., Smith, J. R. and Meng, H. J., “Exploring image functionalities in WWW applications - development of image/video search and editing engines”, in IEEE International Conference on Image Processing, (1997).
18. [18] Chang, T. and Kuok, C. C. J., “Texture analysis and classification with tree-structured wavelet transform,” in IEEE Trans. on Image Processing, (1993).
19. [19] Cieplinski, L., ISO/IEC/JTC1/SC29/ WG11/, Lancaster, UK, Feb. pp. 319, (1999).
20. [20] “Core experiments on MPEG-7 color and texture descriptors,” ISO/IEC/JTC1/ SC29/WG11 Seoul, Korea, Mar. pp. 2691, (1999).
21. [21] Cutting, D., Karger, D., Pedersen, J., and Tukey, J., “Scatter/gather: A cluster-based approach to browsing large document collections,” in ACM SIGIR'92, (1992).
22. [22] Deng, Y., Kenney, C., Moore, M. S. and Manjunath, B. S., “Peer group flltering and perceptual color quantization”, in IEEE International Symposium on Circuits and Systems, (1999).
23. [23] Deng, Y., Manjunath, B. S., Shin, H. and Choi, Y., “A color descriptor for MPEG-7: variable-bin color histogram,” ISO/IEC JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 76 (1999).
24. [24] “Description of core experiments for MPEG-7 motion/shape”, ISO/IEC JTC1/SC29/WG11N2690, Seoul, Korea, Mar. (1999).
25. [25] Dimitrova, N., Agnihotri, L., Martino, J. and Elenbaas, H., “Super-histogram for video classification and program,” ISO/IEC/JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 641 (1999).
26. [26] Dimitrova, N., McGee, T., Elenbaas, H. and Martino, J., “Video content management in consumer devices,” in IEEE Trans. on Knowledge and Data Engineering, Nov. (1998).
27. [27] “Document content description (DCD) for XML”, Submission to W3C, Jul. (1998).
28. [28] Douglass, R. J., “Description definition language (DDL), knowledge representation language for MPEG-7 DDL,” ISO/IEC JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 124 (1999).
29. [29] Dowe, J., “Content-based retrieval in multimedia imaging,” in SPIE Storage and Retrieval for Image and Video Databases II, (1993).
30. [30] “Extensible markup language (XML) 1.0,” REC-xml-(1998)0210, W3C Recommendation, Feb. (1998).
31. [31] Ferman, A. M. and Tekalp, A. M., “Efficient filtering and clustering methods for temporal video segmentation and visual summarization,” in Journal of Visual Communication and Image Representation, Vol. 9,No. 4, pp. 336-351, (1998).
32. [32] Ferman, A. M., Tekalp, A. M., Mehrotra, R., “Histogram-based color descriptors for multiple frame color characterization,” ISO/IEC/JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 529 (1999).
33. [33] Ganti, V., Gebrke, J. and Ramakrishnan, R., “Mining very large database,” in IEEE Computer Magazine, Aug. (1999).
34. [34] Gonzalez, R. C., Woods, R. E., Digital Image Processing, Addison Wesley Publishing Company, (1993).
35. [35] Huang, J., Kumar, S. R. and Mitra, M., “Combining supervised learning with color correlograms for content-based image retrieval,” in ACM Multimedia'97, Seattle, WA, (1997).
36. [36] Huang, J., Kumar, S. R. and Zabih, R., “An automatic hierarchical image classification scheme,” in ACM Multimedia'98, Bristol, UK, (1998).
37. [37] Hunter, J., “A proposal for an MPEG-7 description definition language (DDL) ,” ISO/IEC/JTC/SC29/WG11, Lancaster, UK, Feb. pp. 547 (1999).
38. [38] “IBM Almaden Research Center, Technical summary of color descriptors for MPEG-7,” ISO/IEC JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 165 (1999).
39. [39] Iwayama, M. and Tokunaga, T., “Cluster-based text categorization: A compression of category search strategies,” in ACM SIGIR'95, (1995).
40. [40] Jung, S., Kim, K., Chun, B. T., Lee, J. Y. and Bae, Y., “Color descriptor by using picture information measure of subregions in video sequence,” ISO/IEC JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 549 (1999).
41. [41] Khotanzad, A. and Hong, Y. H., “Invariant image recognition by Zernike moments,” in IEEE Trans. on Pattern Analysis and Machine Intelligence, May (1990).
42. [42] Kim, H. J., Lee, J. S., Jun, S. B., Song, J. M., Lee, H. Y., “Descriptor for quantized color using HMMD color model,” ISO/IEC/JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 669 (1999).
43. [43] Kim, J. D. and Kim, H. K., “Shape descriptor based on multi-layer eigen vector,” ISO/IEC/JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 517 (1999).
44. [44] Kim, W. Y. and Kim, Y. S., “A rotation invariant geometric shape descriptor using Zernike moment,” ISO/IEC JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 687 (1999).
45. [45] Kim, Y.-S. and Kim, W.-Y., “Content-based trademark retrieval system using visually salient feature,” in Journal of Image and Vision Computing, Aug. (1998).
46. [46] Lawrance, S. and Giles, C. L., “Searching the Web: general and scientific information access,” in IEEE Communication Magazine, Jan. (1999).
47. [47] Lennon, A. and Wan, E., “Dynamic description framework,” ISO/IEC /JTC/SC29/WG11, Lancaster, UK, Feb. pp. 487 (1999).
48. [48] Li, C. S. and Stone, H. S., “Digital library using next generation internet,” in IEEE Commu-nication Magazine, Jan. (1999).
49. [49] Lipson, P., Grimson, W. E. L. and Sinha, P., “Configuration based scene classification and image indexing,” in IEEE Conference on Computer Vision and Pattern Recognition, (1997).
50. [50] Liu, F. and Picard, R., “Periodicity, directionality and randomness: Wold features for image modeling and retrieval,” in IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 18, No. 7, Jul. (1996).
51. [51] Mahmood, T. S., “Location hashing: an efficient indexing method for object queries in image databases,” ISO/IEC JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 144 (1999).
52. [52] Manjunath, B. S. and Ma, W., “Texture features for browsing and retrieval of image data,” in IEEE Trans. on Pattern Analysis and Machine Intelligence, Aug. (1996).
53. [53] Medasani, S. and Krishnapuram, R., “Categorization of image databases for efficient retrieval using robust mixture decomposition,” in IEEE CVPR'98 Workshop on Content-Based Access of Images and Video Libraries, (1998).
54. [54] Minka, T. P. and Picard, R. W., “Interactive learning with a `society of models”, in Pattern Recognition, 30(4), pp. 565-581, Apr. (1997).
55. [55] Mintzer, F., “Developing digital library of cultural content for Internet access,” in IEEE Communication Magazine, Jan. (1999).
56. [56] Mottaleb, M. A., “A descriptor for the edges in still images,” ISO/IEC /JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 649 (1999).
57. [57] “MPEG-7 application document V.8,” ISO/IEC JTC1/SC29/WG11 N2728, Seoul, Korea, Mar. (1999).
58. [58] “MPEG-7 Context, objectives and technical roadmap V.11,” ISO/IEC JTC1/SC29/WG11 N2729, Seoul, Korea, Mar. (1999).
59. [59] “MPEG-7 requirements document V.8,” ISO/IEC JTC1/SC29/WG11 N2727, Seoul, Korea, Mar. (1999).
60. [60] Muller, K. and Ohm, J. R., “Wavelet-based contour descriptor,” ISO/IEC/JTC1/ SC29/WG11, Lancaster, UK, Feb. pp. 567 (1999).
61. [61] Nevel, A. V., “Texture synthesis via matching first and second order statistics of a wavelet frame decomposition,” in IEEE International Conference on Image Processing, (1998).
62. [62] Niblack, W., Berber, R., Equitz, W., “Flickner M., Glasman E., Petkovic D., and Yanker P., The QBIC project: querying images by content using color, texture and shape”, in SPIE Storage and Retrieval for Image and Video Database II, Feb. (1993).
63. [63] Niblack, W., Zhu, X., Hafner, J., Breuel, T., Pondeleon, D., Petkovic, D., Flickner, M., Upfae, L., Nin, S., Sull, S., Dom, B., Yeo, B. L., “Srinivasan S., Zivkovic D., and Penner M., Updates to the QBIC system,” in SPIE Storage and Retrieval for Image and Video Database VI, Jan. (1998). 
64. [64] Ohm, J. R., Makai, B., ISO/IEC /JTC1/ SC29/WG11 Lancaster, UK, Feb. pp. 563-564 (1999).
65. [65] Ohm, J. R. and Bunjamin, F., ISO/IEC JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 566 (1999).
66. [66] “Open knowledge base connectivity home page,”
67. [67] Ostermann, J., Rajendran, R. K., Puri, A., Huang, Q., ISO/IEC/JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 472 (1999).
68. [68] Paek, S., Benitez, A., Chang, S. F., Li, C. S., Smith, J. R., Bergman, L. D., Puri, A., Swain, C. and Ostermann, J., ISO/IEC/JTC1/ SC29/ WG11, Lancaster, UK, Feb. pp. 480 (1999).
69. [69] Paul, E., Vet, V. and Mars, N. J., “Bottom-up construction of ontologies,” in IEEE Trans. on Knowledge and Data Engineering, (1998).
70. [70] Pratt, W. K., Digital Image Processing, 2nd edition, a Wiley-Interscience Publication, (1991).
71. [71] Puri, A., Huang, Q., Smith, J. R., Kim, M. C., Mohan, R., Li, C. S., Bergman, L. D., Eleftheriadis, A., Benetiz, A. B., Fang, Y., Rajendran, R. K. and Chang, S. F., “MPEG multimedia language (MML): a proposal for MPEG-7 DDL,” ISO/IEC JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 484 (1999).
72. [72] Rao, A. R. and Lohse, G. L., “Towards a texture naming system identifying relevant dimensions of texture,” in IEEE Conference on Visualization, Oct. (1993).
73. [73] Ratan, A. L. and Grimson, W. E. L., “Training templates for scene classification using a few examples,” in IEEE CVPR'97 Workshop on Content-Based Access of Image and Video Libraries, (1997).
74. [74] “Report of the ad-hoc group on MPEG-7 evaluation logistics,” ISO/IEC/JTC1/SC29/WG11/ MPEG99/ Wxxxx, Lancaster, UK, Feb. (1999).
75. [75] “Resource description framework (RDF) schema specification,” WD-rdf-schema- (1998)1030, W3C Working Draft, Oct. (1998).
76. [76] Ricoh Company Ltd., “MINDS's descriptors for still images - spatial edge distribution descriptor,” ISO/IEC/JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 102 (1999).
77. [77] Ricoh Company Ltd., “MINDS's descriptors for still images - spatial texture distribution descriptor,” ISO/IEC JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 104 (1999).
78. [78] Ro, Y. M., Kim, S. Y., You, K. W., Kim, M. and Kim, J., “Texture description using atoms of matching pursuits,” ISO/IEC JTC1/SC29/ WG11, Lancaster, UK, Feb. pp. 612 (1999).
79. [79] Ro, Y. M., “Matching pursuit: contents featuring and image indexing,” in SPIE Multimedia storage and archiving system III, (1998).
80. [80] Rui, Y., Huang, T. and Mehrotra, S., “Content-based image retrieval with relevance feedback in MARS,” in IEEE International Conference on Image Processing, pp. 815-818, Oct. (1997).
81. [81] Rui, Y., Huang, T. S. and Chang, S. F., “Image retrieval: current techniques, promising directions, and open issues,” in Journal of Visual Communication and Image Representation, Vol. 10, No. 1, Mar. (1999).
82. [82] Salton, G. and Araya, J., “On the use of clustered file organization in information search and retrieval,” in Tech. Rep. TR89-989, Department of Computer Science, Cornell University, (1989).
83. [83] “Schema for object-oriented XML (SOX) ,” NOTE-SOX-(1998)0930, Submission to W3C, Sep. (1998).
84. [84] Sharma, R., Pavlovic, V. I. and Huang, T. S., “Toward multimodal human-computer interface,” in Proceedings of the IEEE, May (1998).
85. [85] Silberschatz, A., Korth, H. F. and Sudarshan, S., Database System Concepts, 3rd Edition, McGraw-Hill Publisher, (1996).
86. [86] Simoncelli, E. P. and Portilla, J., “Texture characterization via joint statistics of wavelet coefficient magnitudes,” in IEEE International Conference on Image Processing, (1998).
87. [87] Smith, J. R. and Castelli, V. and Li, C. S., “Adaptive storage and retrieval of large compressed images,” in SPIE Storage and Retrieval for Image and Video Databases VII, Jan. (1999).
88. [88] Smith, J. R. and Chang, S. F., “An image and video search engine for the World-Wide Web,” in ACM Multimedia'96, (1996).
89. [89] Smith, J. R. and Chang, S.F., “Joint adaptive space and frequency basis selection,” in IEEE International Conference on Image Processing, Oct. (1997).
90. [90] Smith, J. R. and Li, C. S., ISO/IEC JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 483 (1999).
91. [91] Smith, J. R., “Query vector projection access method,” in SPIE Storage and Retrieval for Image and Video Databases VII, Jan. (1999).
92. [92] “Squire D. M., Learning a similarity-based distance measure for image database organization from human partitionings of an image set,” in SPIE Multimedia Storage and Archiving System III, (1998).
93. [93] “Synchronized multimedia integration language (SMIL) ,” WD-smil-0202, W3C Working Draft, Feb. (1998).
94. [94] Szummer, M. and Picard, R. W., “Indoor-outdoor image classification,” in IEEE CVPR'98 Workshop on Content-Based Access of Image and Video Libraries, (1998).
95. [95] Tabatabai, A., “Color representation for visual objects,” ISO/IEC JTC1/SC29/ WG11, Lancaster, UK, Feb. pp. 576 (1999).
96. [96] Tamura, H., Mori, S. and Yamawaki, T., “Textural features corresponding to visual perception,” in IEEE Trans. on Sys. Man., and Cyber., Jun. 1978.
97. [97] Tao, B. and Dickinson, B. W., “Recognition and retrieval of textured images using gradient indexing,” in IEEE International Conference on Image Processing, (1998).
98. [98] Tektronix Inc., “Normalized contour as a shape descriptor for visual objects,” ISO/IEC/JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 579 (1999).
99. [99] Vellaikal, A. and Kuo, C. C. J., “Hierarchical clustering techniques for image database organization and summarization,” in SPIE Multimedia Storage and Archiving System III, Nov. (1998).
100. [100] Wan, X. and Kuo, C. C. J., “Image retrieval based on JPEG compressed data,” in SPIE Multimedia Storage and Archiving Systems, Nov. (1996).
101. [101] Weiss, R., Velez, B., Sheldon, M., Namprempre, C., Szilagyi, P., Duda, A., and Gifford, D., “Hy-Pursuit: A hierarchical network search engine that exploits content-link hypertext clustering,” in ACM Hypertext'96, (1996).
102. [102] Won, C. S., et al, “Efficient color feature extraction in compressed video,” in SPIE Storage and Retrieval for Image and Video Databases VIII, (1999).
103. [103] Won, C. S., Park, D. K., Yoo, S. J., Park, S. J., “Generalized image histogram,” ISO/ IEC/JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 324 (1999).
104. [104] Wong, S. and Tjandra, D., “A digital library for biomedical imaging on the Internet,” in IEEE Communication Magazine, Jan. (1999).
105. [105] Wood, M., Campbell, N. and Thomas, B., “Iterative refinement by relevance feedback in content-based digital image retrieval,” in ACM Multimedia'98, Bristol, UK, (1998).
106. [106] Wu, P., Ma, W.Y., Manjunath, B. S., Shin, H. and Choi, Y., “Texture descriptor,” ISO/IEC/JTC1/SC29/WG11, Lancaster, UK, Feb. pp. 77 (1999).
107. [107] Lamdan, Y. and Wolfson, H. J., “Geometric hashing: a general and efficient model-based recognition scheme,” in IEEE Conference on Computer Vision and Pattern Recognition, (1988).
108. [108] Yang, Z. and Kuo, C. C. J., “A semantic classification and composite indexing approach to robust image retrieval,” in IEEE International Conference on Image Processing, Oct. (1999).
109. [109] Yang, Z. and Kuo, C. C. J., “Content- based image retrieval via adaptive multi-feature templates,” in SPIE Multimedia Storage and Archiving System IV, Sep. (1999).
110. [110] Yang, Z. and Kuo, C. C. J., “Intelligent image database indexing and query system,” in SPIE Application of Digital Image Processing XXII, Jul. (1999).
111. [111] Yang, Z., Wan, X., and Kuo, C. C. J., “Interactive image retrieval: concept, procedure and tools,” in IEEE 32nd Asilomar Conference, Montery, CA, Nov. (1998).
112. [112] Yu, H. H. and Wolf, W., “Scenic classification methods for image and video databases,” in SPIE Digital Image Storage and Archiving Systems, (1995).