Multimedia experts discuss technologies for content-based information retrieval in databases containing elements such as audio, still images, and video. Unlike text databases, searching through audio and video clips may rely on unconventional query methods including scene identification, object tracing, speech detection and recognition, and motion detection. Shih (computer science and information engineering, Tamkang U., Taiwan) edits topics including emergence indexes in image databases, video abstraction techniques for a digital library, and embedding robust gray-level watermarks using discrete cosine transformation. The book may serve advanced students and professionals in computer science, computer engineering, multimedia studies, and management information systems. Annotation (c) Book News, Inc., Portland, OR (booknews.com)
"Multimedia application techniques used in contexts as diverse as business, government, education, entertainment, and healthcare are continually challenged by modeling, specification, analysis, and design issues that affect distributed multimedia database systems. These challenges are analyzed and practical solutions are offered in this scholarly discussion of database techniques such as image retrieval, video abstraction, video database, and multimedia and multistream synchronization. The most recent research findings are presented to facilitate effective database management."
