[2]Cox I J, Miller M L, Minka T P et al. The Bayesian image retrieval system, picHunter: theory, implementation, and pychophysical experiments [J]. IEEE Transactions Image Processing, 2000, 9(1): 20~37.
[2]
[4]Swain M J, Ballard B H. Color indexing [J], International Journal of Computer Vision, 1991, 7(1): 11~32.
[3]
[7]Stricker M, Orengo M. Similarity of color images [A]. In:Proceedings of the SPIE: Storage and Retrieval for Image and Video Databases[C], Orlando, FL,USA, 1995: 381~392.
[4]
[9]Pauwels E J, Frederix G. Nonparametric clustering for image segmentation and grouping[J]. Image Understanding, 2000, 75(1): 73~85.
[5]
[11]Ohanian P P, Dubes R C. Performance evaluation for four classes of texture features[J]. Pattern Recognition, 1992, 25(8) :819~833.
[6]
[13]Tamnura H, Mori S, Yamawaki T. Texture features corresponding to visual perception[J]. IEEE Transactions on Systems, Man and Cybernetics, 1978, 8(6): 460~~473.
[7]
[15]Mehtre B M, Kankanhalli M, Lee W F. Shape measures for content based image retrieval: a comparison [J], Information Processing Management, 1997, 33(3): 319~337.
[8]
[17]Latecki L J, Lakamper R. Convexity rule for shape decomposition based on discrete contour evolution [J]. Image Understanding, 1999, 73(3): 441~454.
[9]
[19]Hsu F J, Lee S Y, Lin B S. Similairty retrieval by 2D c trees matching in image databases [J]. Journal Visual Commieation and Image Representation, 1998, 9(1): 87~100.
[10]
更多...
[11]
[21]Smith J R, Chang S F. Integrated spatial and feature image query[J]. Multimedia Systems, 1999, 7(2): 129~140.
[12]
[23]Szummer M, Picard R W. Indoor-outdoor image classification[A]. In: Proceedings of the IEEE International Workshop on Content-Based Access of Image and Video Database[C],Bombay, India, 1998: 42~51.
[13]
[25]Forsyth D A, Malik J, Fleck M M et al. Finding pictures of objects in large collections of images [A]. In: Workshop on Object Recognition [C], Cambridge, United Kingdom, 1996:335~360.
[14]
[27]Minka T. An image database browser that learns from user interaction[R]. MIT Media Laboratory Technical Report # 365,Massachusetts, USA, 1996.
[30]Corridoni J M et al. Image retrieval by color semantics with incomplete knowledge[J]. Journal of the American Society for Information Science, 1998, 49(3) :267~282.
[17]
[31]Smeulders A M, Olabariagga S D, Boomgaard R et al.Interactive segmentation [A]. In: Proceedings of Second International Conference on Visual Information Systems [C],San Diego, California, USA, 1997: 5~12.
[18]
[34]Meilhac C, Nastar C. Relevance feedback and category search in image databases [ A ]. In: Proceedings of International Conference on Multimedia Computing and Systems [ C ],Florence, Italy, 1999: 512~517.
[37]amesh Jain edi. Workshop Report of USA National Science Foundation Workshop on Visual Information Management Systems[A]. In:Proceedings of Storage and Retrieral for Image and Video Databases(SPIE)[C], San Jose, California, USA,1993,1908:198~218.
[21]
[1]Venters C C, Cooper M. A review of content-based image retrieval systems [EB/OL]. http://www. jtap. ac. uk/reports/htm/jtap-054. html,U niversity of Manchester,UK. 1999.
[22]
[3]Eakins J P. Automatic image content retrieval-are we getting anywhere? [A]. In: Proceedings of Third International Conference on Electronic Library and Visual Information Research[C], Milton Keynes, England, 1996: 123~135.
[23]
[5]Gevers T, Smeulders A M. Pictoseek: combining color and shape invariant features for image retrieval [ J ]. IEEE Transactions on Image Processing, 2000, 9(1): 102~119.
[24]
[6]Hafner J, Sawhney H S et al. Efficient color histogram indexing for quadratic form distance functions[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17(7): 729~736.
[25]
[8]Smith J R, Chang S F. Tools and techniques for color image retrieval[A]. In: Proceedings of the SPIE: Storage & Retrieval for Image and Video Databases Ⅳ [C], San Jose, CA, USA,1996: 426~437.
[26]
[10]Randen T, Husoy J H. Filtering for texture classification: A comparative study[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999, 21(4): 291~310.
[27]
[12]Ma W Y, Manjunath B S. A comparison of wavelet transform features for texture image annotation[A]. In: Proceedings of the IEEE International Conference on Image Processing [C] ,Washington, USA, 1995, 2: 256~259.
[28]
[14]Lei Z, Keren D, Cooper D B. Computationally fast Bayesian recognition of complex objects based on mutual algebraic invariants [A]. In: Proceedings of the IEEE International Conference on Image Processing[C], Washington, USA, 1995,2: 635~638.
[29]
[16]Veltkamp R C, Hagendoorn M. State-of-the-art in shape matching, multimedia search: State of the Art[M]. New York:Springer Verlag, 2000.
[30]
[18]Frederix G, Pauwels E J. Automatic interpretation based on robust segmentation and shape extraction[A]. In: Proceedings of Third International Conference on Visual Information Systems[C], Amsterdam, Netherlands, 1999: 769~776.
[31]
[20]Fuh C S, Cho S W, Essig K. Hierarchical color image region segmentation for content-based image retrieval system[J]. IEEE Transactions on Image Processing, 2000, 9(1): 156~163.
[32]
[22]Gorkani M, Picard R W. Texture orientation for sorting photos at a glance[A]. In: Proceedings of International Conference on Pattern Recognition [C], Jerusalem, Israel, 1994, I: 459 ~ 464.
[33]
[24]Vailaya A, Figueiredo A T, Jain A K et al. Image classific ation for content-based indexing [J]. IEEE Transactions on Image Processing, 2001, 10(1): 117~130.
[34]
[26]Newsam S, Bhagavathy S, Kenney C et al. Object-based representations of spatial images[J]. Acta Astronautical, 2001,48: 567~577.
[35]
[28]Chang S F, Chen W, Sundaram H. Semantic visual templates:linking visual features to semantics[A]. In:Proceedings of the IEEE International Conference on Image Processing [C],Chicago, Illinois, USA, 1998:531~535.
[36]
[32]Ciocca G, Schettini R. Using a relevance feedback mechanism to improve content-based image retrieval[A]. In: Proceedings of Third International Conference on Visual Information Systems[C], Amsterdam, Netherlands, 1999 :107 ~ 114.
[37]
[33]Rui Y, Huang T S, Ortega M et al. Relevance feedback: a power tool for interactive content-based image retrieval [J].IEEE Transactions on Circuits and Systems for VideoTechnology, 1998,8(5) :644~655.