Photobook: tools for content-based manipulation of image databases

We describe the Photobook system, which is a set of interactive tools for browsing and searching images and image sequences. These tools differ from those used in standard image databases in that they make direct use of the image content rather than relying on annotations. Direct search on image content is made possible by use of semantics-preserving image compression, which reduces images to a small set of perceptually significant coefficients. We describe three Photobook tools in particular: one that allows search based on gray-level appearance, one that uses 2-D shape, and a third that allows search based on textural properties.

[1]  Thomas M. Breuel.  Indexing for Visual Recognition from a Large Model Base , 1990 .

[2]  Patrick Campbell McLean,et al.  Structured video coding , 1991 .

[3]  A. Pentland,et al.  Robust estimation of a multi-layered motion representation , 1991, Proceedings of the IEEE Workshop on Visual Motion.

[4]  M. Landy,et al.  The Plenoptic Function and the Elements of Early Vision , 1991 .

[5]  Anil K. Jain,et al.  Texture classification and segmentation using multiresolution simultaneous autoregressive models , 1992, Pattern Recognit..

[6]  J. Francos.  7 Orthogonal decompositions of 2D random fields and their applications for 2D spectral estimation , 1993, Signal Processing and its Applications.

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

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

[9]  Alex Pentland,et al.  View-based and modular eigenspaces for face recognition , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[10]  Fang Liu,et al.  A new Wold ordering for image similarity , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.