CS6825: Computer Vision word cloud
Instructor Outline Syllabus Projects Links  

Some Image Database Papers (only through 99)

 
 
Introduction
  • F. Idris and S. Panchanathan, "Review of Image and Video Indexing Techniques", Journal of Visual Communication and Image Representation, Vol 8, No. 2, June, pp.146-166, 1997.
  • R. W. Picard , "Lightyears from Lena: Image and Video Libraries of the Future", IEEE Int. Conf. on Image Processing, ICIP 95, Special Session on Digital Image/Video Libraries and Video-on-demand, Oct. 1995,Washington DC.
Color
  • M. Swain and D. Ballard, "Color Indexing," International Journal of Computer Vision, Vol 7, No.1, 11-32, 1991.
  • J. Huang et al, "Image Indexing Using Color Correlograms," Proceedings Computer Vision and Pattern Recognition-CVPR97, 1997.
  • G. Lu and J. Phillips,"Using Perceptual Weighted Histograms for Colour-based Image Retrieval",
  • J. Huang and R. Zabih, "Combining Color and Spatial Information for Content-based Image Retrieval".
  • Y. Rubner, C. Tomasi and L.J. Guibas, "The Earth Mover's Distance as a Metric for Image Retrieval".
Texture
  • B. S.Manjunath and W. Y. Ma, “Texture Features for Browsing and Retrieval of Image Data”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 18, No. 8, August 1996.
  • R. Picard and T. Minka, “Visual Texture for Annotation,” MIT Media Lab report No. 302.
  • Y. Rubner and C. Tomasi, "Texture Metrics".
Shape
  • H. Nishida, "Shape Retrieval from Image Databases Through Structural Feature Indexing", Vision Interface 99, Trois-Rivieres, Canada, 19-21 May 1999.
  • Y. Gdalyahu and D. Weinshall, "Flexible Syntactic Matching of Curves and its Application to Automatic Hierarchical Classification of Silhouettes".
  • B. Scassellati, S. Alexopoulos and M. Flickner, "Retrieving Images by 2D Shape: a Comparison of Computation methods with Human Perceptual Judgments".
  • NETRA: A Toolbox for Navigating Large Image Database", IEEE Int. Conf. on Image Processing, ICIP99.
Sketch
  • T. Kato, T. Koritu, N. Otso and K. Hirata, "Asketch Retrieval Method for Full Color Image Database", International Conference on Pattern Recognition-ICPR92, pp. 530-533, 1992.
  • C.E. Jacobs, A. Finkelstein and D.H. Salesin, Fast Multiresolution Image Querying", Proceedings of SIGGRAPH95, Los Angeles CA, August 6-11, 1995.
  • W. Niblack, R. Barber, W. Equitz, M. Flickner, E. Glasman, D. Petkovic, and P. Yanker, "The QBIC project: querying images by content using colour, texture and shape,'' IS&T/SPIE 1993 Int. Symp. Electronic Imaging: Science and Technology, Conference, Storage and Retrieval for Image and Video Databases, Vol. 1908, 1993.
Blobs and Spatial Interaction
  • C. Carson, S. Belongie, H. Greenspan, and J. Malik, "Region-based Image Querying'', Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries - CVPR97, pp. 42--49, 1997.
  • S.J. Cho and S.I. Yoo, "MCEBC - A Blob Coloring Algorithm for Content-Based Image Retrieval System", 8th Int. Conf. on Comp. Analysis of Images and Patterns - CAIP99, Ljubljana, Slovenia, pp. 9-16, Sept. 1999. Lecture Notes in CS Vol 1689, F. Soliha and A. Leonardis Eds.
  • J.R. Smith and S.F. Chang, "Querying by Color Regions using the VisualSEEk Content-Based Visual Query System".
High Level Representation
  • V. Castelli, C.S. Li and L.D. Bergman, "Searching image Databases at Multiple Levels of Abstraction", IBM Research Report RC 20702 (91227) 1/28/97.
  • D. Dori and H.Z. Hel-Or,  "Semantic Content Based Image Retrieval Using Object-Process Diagrams'', Proceedings of the 7th International Workshop on Structural and Syntactic Pattern Recognition - SSPR98, Vol. 1451, pp. 230-241, Sydney Australia, 1998.
Compressed Image Retrieval
  • C.E. Jacobs, A. Finkelstein and D.H. Salesin, Fast Multiresolution Image Querying", Proceedings of SIGGRAPH95, Los Angeles CA, August 6-11, 1995.
  • G. Lu and S. Teng, "A Novel Image Retrieval Technique Based on Vector Quantization".
  • M. Shenier and M. Abdel-Mottaleb, "Exploiting the JPEG Compression Scheme for Image Retrieval", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 18, No. 8, August 1996, pp.849-853.
  • C. Chen and R. Wilkinson, "Image Retrieval Using Multiresolution Wavelet Decomposition", Proceedings of Int. Conf. on Computational Intelligence and Mulimedia Applications, 9-11 Feb,  Australia, pp. 824-829.
  • F. Idris and S. Panchanathan,"Algorithms for Indexing of Compressed Images", Proceedings of Int. Conf. on Visual Information Systems, Melbourne, Feb 1996, pp.303-308.
Learning
  • T. Minka, "An Image Database Browser that Learns from User Interaction", MIT Media Laboratory Technical Report 365.
  • T.P. Minka and R.W. Picard, "Interactive Learning using a Society of Models", MIT Media Laboratory Technical Report 349.
  • T. Kurita and T. Kato, "Learning of Personal Visual Impression for Image Database Systems".
Text + Image Features - Retrieval from the Internet
  • G. Lu and B. Williams, "An Integrated WWW Image Retrieval System", 5th Australian World Wide Web Conf - AUSWEB99, Lismore, Australia. http://ausweb.scu.edu.au/aw99/papers/lu/paper.html
  • M.J. Swain, C. Frankel and V. Athitsos, "WebSeer: An Image Search Engine for the World Wide Web", Proc. Computer Vision and Pattern Recognition - CVPR97.
  • J.R. Smith and S.F. Chang, "Querying by Color Regions using the VisualSEEk Content-Based Visual Query System".
  • Yahoo Image Search etc.
Navigation in Image Space
  • Y. Rubner, L. Guibas and C. Tomasi, "The Earth Mover's Distance, Multi-Dimensional Scaling, and Color-Based Image Retrieval".
  • Y. Rubner, C. Tomasi and L.J. Guibas, "Adaptive Color-Image Embeddings for Database Navigation", Proc. of the IEEE Asian Conf. on Computer Vision, Hong Kong, 1998.
  • Y. Rubner, L. Guibas and C. Tomasi, "Navigating Through a Space of Color Images", Proc. Computer Vision and Pattern Recognition - CVPR97.
  • D.F. Jerding and J.T. Stasko, "The Information Mural: A Technique for Displaying and Navigating Large Information Spaces", Proceedings of SIGGRAPH.
Video Retrieval
  • M. Irani and P. Anandan, "Video Indexing Based on Mosaic Representations".
  • J.S. Wachman and R.W. Picard, "Tools for Browsing a TV Situation Comedy Based on Content Specific Attributes".
  • C.W. Chang and S.Y. Lee, "Video Content Representation, Indexing and Matching in Video Information Systems.
© Lynne Grewe