Data management for multimedia retrieval
By: K. Selçuk Candan, Maria Luisa Sapino
Contributors: Sapino, Maria Luisa
Publisher: Cambridge University Press
Published: 2010
Place of publication: Cambridge; New York
Language: eng
Number of pages: 489
ISBN-13: 9780521887397
Description: "This comprehensive textbook presents data structures and algorithms for storing, indexing, clustering, classifying, and accessing common multimedia data representations"--Provided by publisher.

"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.
Notes: Includes bibliographical references (p. 427-472) and index.
Table of contents: title: Introduction: multimedia applications and data management requirements; title: Models for multimedia data; title: Common representations of multimedia features; title: Feature quality and independence: why and how?; title: Indexing, search, and retrieval of sequences; title: Indexing, search, and retrieval of graphs and trees; title: Indexing, search, and retrieval of vectors; title: Clustering techniques; title: Classification; title: Ranked retrieval; title: Evaluation of retrieval; title: User relevance feedback and collaborative filtering.