Exploration of Visual Data (Paperback, Softcover reprint of the original 1st ed. 2003)

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low-bitrate video streaming, and latest asymmetric and nonlinear relevance feedback algorithms, which to date are unpublished.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	The International Series in Video Computing, 7
Release date:	October 2012
First published:	2003
Authors:	Sean Xiang Zhou • Yong Rui • Thomas S. Huang
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Paperback
Pages:	187
Edition:	Softcover reprint of the original 1st ed. 2003
ISBN-13:	978-1-4613-5106-1
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Computer software packages > Multimedia Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	1-4613-5106-5
Barcode:	9781461351061

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