全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于内容的图象检索技术

DOI: 10.11834/jig.200309355

Keywords: 计算机信息管理系统(520?6070),基于内容的图象检索,特征提取,相似性计算,相关反馈

Full-Text   Cite this paper   Add to My Lib

Abstract:

随着数字图象的日益增多,基于内容的图象检索已成为图象使用者和管理者迫切需要解决的问题,近年来,各国研究者纷纷加入该领域的研究.为了使人们对该领域现状有个概略了解,以推动该领域研究进一步开展,首先概括介绍了基于内容图象检索的产生、发展及其关键技术;然后介绍了特征提取(包括低层特征和语义特征)及其相似性计算、相关反馈等的原理及算法;最后指出了基于内容的图象检索技术与计算机视觉技术的区别所在,并对目前存在的问题和应着重的研究内容以及发展方向进行了分析.

References

[1]  [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.
[15]  [29]高永英,章毓晋.基于多级描述模型的渐进式图象内容理解[J].电子学报,2001,29(10):1376~1380.
[16]  [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.
[19]  [36]段立娟,高文等.图象检索中的动态相似性度量方法[J].计算机学报,2001,24(11):1256~1262.
[20]  [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.
[38]  [35]张磊,林福宗,张钹.基于神经网络自学习的图象检索方法[J].软件学报,2001,12(10):1479~1485.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133