Image Databases: Search and Retrieval of Digital Imagery
Vittorio Castelli, Lawrence D. Bergman
John Wiley & Sons, Apr 7, 2004 - Computers - 608 pages
The explosive growth of multimedia data transmission has generated a critical need for efficient, high-capacity image databases, as well as powerful search engines to retrieve image data from them. This book brings together contributions by an international all-star team of innovators in the field who share their insights into all key aspects of image database and search engine construction. Readers get in-depth discussions of the entire range of crucial image database architecture, indexing and retrieval, transmission, display, and user interface issues. And, using examples from an array of disciplines, the authors present cutting-edge applications in medical imagery, multimedia communications, earth science, remote sensing, and other major application areas.
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algorithm analysis applications approach automatically blocks Calif CBIR classifier coding coefficients color histogram color space components compression Computer Vision Conf content-based image retrieval content-based retrieval data sets data types descriptors DICOM dimensionality dimensions disk domain efficient Euclidean distance example feature extraction feature space feature vector Figure filters function global hyperrectangle IEEE Trans Image and Video image data image databases image retrieval indexing structures Informix interface International Conference J.R. Smith JPEG labels Machine Intell matching measure medical images metadata methods metric multimedia nearest-neighbor node object recognition Pattern Anal perceptual performance pixel points Proc Proceedings quantization query image R-tree regions remotely sensed represent representation Section segmentation seismic selection semantic server shape SIGMOD similarity spatial specific SPIE SPIHT storage stored subband techniques texture features transmission tuple vector quantization Video Databases visual wavelet transform