Computer Vision Seminar - Image Retrieval
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Computer Vision Seminar - Image Retrieval. Date. Topic. Student Names. Student e-mail. Student Phones. Introduction Color Texture Shape Sketch Blobs+Spatial Interaction High-Level Representation Compressed Image Retrieval Learning Text+Image Features - Retrieval from WWW

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Introduction color texture shape sketch blobs spatial interaction high level representation

Computer Vision Seminar - Image Retrieval

Date

Topic

Student Names

Student e-mail

Student Phones

Introduction

Color

Texture

Shape

Sketch

Blobs+Spatial

Interaction

High-Level

Representation

Compressed Image

Retrieval

Learning

Text+Image Features -

Retrieval from WWW

Navigation in Image

Space

Video Retrieval

21/11/99

28/11/99

4/11/99

11/11/99

18/11/99

25/11/99

2/12/99

9/12/99

30/12/99

6/1/00

13/1/00

20/1/00


Introduction color texture shape sketch blobs spatial interaction high level representation

Computer Vision Seminar - Image Retrieval

Lecture 1 - 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.

Lecture 2 - 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".

Lecture 3 - 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".

Lecture 4 - 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.

Lecture 5 - 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.

Lecture 6 - 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".


Introduction color texture shape sketch blobs spatial interaction high level representation

Lecture 7 - High Level Image 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.

Lecture 8 - 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.

Lecture 9 - 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".

Lecture 10 - 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.

Lecture 11 - 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.

Lecture 12 - 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.


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