Visual and textual content based indexing and retrieval

Abstract.Although there are several research and commercial systems in content-based multimedia indexing and retrieval, more effort should be focused on the quality of retrieval, particularly regarding how well the retrieval results correspond to what the user really wants. In this context, we present an approach that may contribute to the quality of indexing and retrieval. It supports both textual and visual indexing and retrieval that obtains results with a higher degree of quality, and it incorporates domain knowledge into the index without any special efforts on the part of the user.

[1]  Farzin Mokhtarian,et al.  A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  V. S. Subrahmanian,et al.  Heterogeneous Multimedia Reasoning , 1995, Computer.

[3]  Ralph Roskies,et al.  Fourier Descriptors for Plane Closed Curves , 1972, IEEE Transactions on Computers.

[4]  Harpreet Sawhney,et al.  Efficient color histogram indexing , 1994, Proceedings of 1st International Conference on Image Processing.

[5]  Chabane Djeraba,et al.  Digital information retrieval , 1997, CIKM '97.

[6]  Dragutin Petkovic,et al.  Content-Based Representation and Retrieval of Visual Media: A State-of-the-Art Review , 1996 .

[7]  Beng Chin Ooi,et al.  Using Domain Knowledge in Querying Image Databases , 1996, MMM.

[8]  Farshad Fotouhi,et al.  Using metadata for the intelligent browsing of structured media objects , 1994, SGMD.

[9]  Frédéric Cuppens,et al.  How to recognize interesting topics to provide cooperative answering , 1989, Inf. Syst..

[10]  Alex Pentland,et al.  Photobook: tools for content-based manipulation of image databases , 1994, Other Conferences.

[11]  Jean-Pierre Courtiat,et al.  Multimedia Modeling: Towards the Information Superhighway , 1996 .

[12]  Calvin N. Mooers,et al.  Zatocoding applied to mechanical organization of knowledge , 1951 .

[13]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[14]  Michael Stonebraker,et al.  Chabot: Retrieval from a Relational Database of Images , 1995, Computer.

[15]  Vijay V. Raghavan,et al.  A critical investigation of recall and precision as measures of retrieval system performance , 1989, TOIS.

[16]  Theodosios Pavlidis,et al.  A review of algorithms for shape analysis , 1978 .

[17]  Wesley W. Chu,et al.  An error-based conceptual clustering method for providing approximate query answers , 1996, CACM.

[18]  Ramesh Jain,et al.  Infoscopes: Multimedia Information Systems , 1996 .

[19]  Gerard Salton,et al.  Automatic Information Organization And Retrieval , 1968 .

[20]  Thomas S. Huang,et al.  Supporting Ranked Boolean Similarity Queries in MARS , 1998, IEEE Trans. Knowl. Data Eng..

[21]  Amarnath Gupta,et al.  Visual information retrieval , 1997, CACM.

[22]  C. J. van Rijsbergen,et al.  Information Retrieval , 1979, Encyclopedia of GIS.

[23]  Shih-Fu Chang,et al.  VisualSEEk: a fully automated content-based image query system , 1997, MULTIMEDIA '96.

[24]  Nozha Boujemaa,et al.  Surfimage: a flexible content-based image retrieval system , 1998, MULTIMEDIA '98.