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Data management for multimedia retrieval /
紀錄類型:
書目-語言資料,印刷品 : 單行本
正題名/作者:
Data management for multimedia retrieval // K. Selcuk Candan, Maria Luisa Sapino.
作者:
Candan, K. Selcuk
其他作者:
Sapino, Maria Luisa.
出版者:
Cambridge ;Cambridge University Press,2010.
面頁冊數:
x, 489 p., [12] p. of plates :ill. (some col.) ;27 cm.
標題:
Multimedia systems. -
電子資源:
http://www.loc.gov/catdir/enhancements/fy1012/2009043206-b.html
電子資源:
http://www.loc.gov/catdir/enhancements/fy1012/2009043206-d.html
電子資源:
http://www.loc.gov/catdir/enhancements/fy1012/2009043206-t.html
ISBN:
9780521887397 (hbk.) :
ISBN:
0521887399 (hardback)
Data management for multimedia retrieval /
Candan, K. Selcuk
Data management for multimedia retrieval /
K. Selcuk Candan, Maria Luisa Sapino. - Cambridge ;Cambridge University Press,2010. - x, 489 p., [12] p. of plates :ill. (some col.) ;27 cm.
Includes bibliographical references (p. 427-472) and index.
Introduction: multimedia applications and data management requirements -- Models for multimedia data -- Common representations of multimedia features -- Feature quality and independence: why and how? -- Indexing, search, and retrieval of sequences -- Indexing, search, and retrieval of graphs and trees -- Indexing, search, and retrieval of vectors -- Clustering techniques -- Classification -- Ranked retrieval -- Evaluation of retrieval -- User relevance feedback and collaborative filtering.
"This comprehensive textbook presents data structures and algorithms for storing, indexing, clustering, classifying, and accessing common multimedia data representations"--Provided by publisher.
ISBN: 9780521887397 (hbk.) :NT2447
LCCN: 2009043206Subjects--Topical Terms:
148213
Multimedia systems.
LC Class. No.: QA76.575 / .C287 2010
Dewey Class. No.: 005.74
Data management for multimedia retrieval /
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Introduction: multimedia applications and data management requirements -- Models for multimedia data -- Common representations of multimedia features -- Feature quality and independence: why and how? -- Indexing, search, and retrieval of sequences -- Indexing, search, and retrieval of graphs and trees -- Indexing, search, and retrieval of vectors -- Clustering techniques -- Classification -- Ranked retrieval -- Evaluation of retrieval -- User relevance feedback and collaborative filtering.
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"Multimedia data require specialized management techniques because the representations of color, time, semantic concepts, and other underlying information can be drastically different from one another. The user's subjective judgment can also have significant impact on what data or features are relevant in a given context. These factors affect both the performance of the retrieval algorithms and their effectiveness. This textbook on multimedia data management techniques offers a unified perspective on retrieval efficiency and effectiveness. It provides a comprehensive treatment, from basic to advanced concepts, that will be useful to readers of different levels, from advanced undergraduate and graduate students to researchers and to professionals"--Provided by publisher.
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