Presents research efforts in the area of content-based exploration of image and video data. The two key issues emphasized are "content-awareness" and "user-in-the-loop". This work provides a comprehensive review on algorithms for visual feature extraction based on color, texture, shape, and structure. Series: The International Series in Video Computing. Num Pages: 187 pages, biography. BIC Classification: UYQM; UYQV. Category: (G) General (US: Trade); (P) Professional & Vocational. Dimension: 235 x 155 x 12. Weight in Grams: 476. . 2003. Hardback. . . . .

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Bibliographic Details

Title: Exploration of Visual Data
Publisher: Kluwer Academic Publishers
Publication Date: 2003
Language: English
ISBN 10: 1402075693
ISBN 13: 9781402075698
Binding: Hardcover
Condition: New

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Synopsis

Exploration of Visual Data presents latest research efforts in the area of content-based exploration of image and video data. The main objective is to bridge the semantic gap between high-level concepts in the human mind and low-level features extractable by the machines.

The two key issues emphasized are "content-awareness" and "user-in-the-loop". The authors provide a comprehensive review on algorithms for visual feature extraction based on color, texture, shape, and structure, and techniques for incorporating such information to aid browsing, exploration, search, and streaming of image and video data. They also discuss issues related to the mixed use of textual and low-level visual features to facilitate more effective access of multimedia data.

Exploration of Visual Data provides state-of-the-art materials on the topics of content-based description of visual data, content-based low-bitrate video streaming, and latest asymmetric and nonlinear relevance feedback algorithms, which to date are unpublished.

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