This book deals with adaptive content-based retrieval systems and
techniques in image and video database applications. It discusses
key considerations in the development of these methods, and
demonstrates their performance. It first introduces a perceptually
inspired non-linear paradigm in user-controlled interactive
retrieval (UCIR), providing an effective tool to bridge the
perceptual gap between high-level semantics in human vision and
low-level features used by computers. Then, a novel
machine-controlled interactive retrieval (MCIR) method is presented
to optimize image search in distributed digital libraries over
Internet, by minimizing bandwidth requirement in retrieval and
reducing human subjective errors. The adaptive methodologies and
techniques are then generalized to content analysis and retrieval
of video data with time-varying nature, which provide
multiple-level access to a large quantity of digital videos.
Finally, the UCIR and MCIR systems are demonstrated by applications
ranging from Digital Asset Management (DAM), Geographical Database
Retrieval, Searching and Retrieval of Art Documents, and Film and
Video Retrieval.
General
Imprint: |
Springer-Verlag New York
|
Country of origin: |
United States |
Series: |
Signals and Communication Technology |
Release date: |
September 2006 |
First published: |
2006 |
Authors: |
Paisarn Muneesawang
• Ling Guan
|
Dimensions: |
235 x 155 x 12mm (L x W x T) |
Format: |
Hardcover
|
Pages: |
188 |
Edition: |
2006 ed. |
ISBN-13: |
978-0-387-25627-6 |
Categories: |
Books >
Computing & IT >
Computer software packages >
Multimedia
|
LSN: |
0-387-25627-X |
Barcode: |
9780387256276 |
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