Progressive Content-based Retrieval of Image Databases through the Internet

Content-based search has attracted the interest of numerous researchers as a promising paradigm for retrieving information from digital libraries. The content of an image or video segment can be specified at least at three different levels of abstraction, namely, pixel level, feature level, and semantic level.

[1]  Loey Knapp,et al.  ASIMM: a framework for automatic synthesis of query interfaces for multimedia databases , 1997, Other Conferences.

[2]  Arding Hsu,et al.  Image processing on compressed data for large video databases , 1993, MULTIMEDIA '93.

[3]  Alex Pentland,et al.  Photobook: tools for content-based manipulation of image databases , 1994, Electronic Imaging.

[4]  T.-Y. Hou,et al.  Medical image retrieval by spatial features , 1992, [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics.

[5]  Alexander Thomasian,et al.  Clustering and singular value decomposition for approximate indexing in high dimensional spaces , 1998, CIKM '98.

[6]  Shih-Fu Chang,et al.  Joint adaptive space and frequency basis selection , 1997, Proceedings of International Conference on Image Processing.

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

[8]  Harry Wechsler,et al.  From Statistics to Neural Networks: Theory and Pattern Recognition Applications , 1996 .

[9]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Christos Faloutsos,et al.  QBIC project: querying images by content, using color, texture, and shape , 1993, Electronic Imaging.

[11]  John Turek,et al.  Progressive classification in the compressed domain for large EOS satellite databases , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[12]  Stephen W. Smoliar,et al.  Developing power tools for video indexing and retrieval , 1994, Electronic Imaging.

[13]  Shih-Fu Chang,et al.  Frequency and spatially adaptive wavelet packets , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[14]  John Turek,et al.  Progressive template matching for content-based retrieval in earth-observing satellite image database , 1995, Other Conferences.

[15]  Amarnath Gupta,et al.  Virage image search engine: an open framework for image management , 1996, Electronic Imaging.

[16]  Leo Breiman,et al.  Classification and Regression Trees , 1984 .

[17]  Stephen W. Smoliar,et al.  Content based video indexing and retrieval , 1994, IEEE MultiMedia.

[18]  Belur V. Dasarathy,et al.  Nearest neighbor (NN) norms: NN pattern classification techniques , 1991 .