A wide-ranging textbook covering data structures and algorithms for storing, indexing, clustering, classifying, and accessing common multimedia data representations.
A wide-ranging textbook covering data structures and algorithms for storing, indexing, clustering, classifying, and accessing common multimedia data representations.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
K. Selçuk Candan is a Professor of Computer Science and Engineering at Arizona State University. He received his Ph.D. in 1997 from the University of Maryland at College Park. Candan has authored more than 120 conference and journal articles, 9 patents, and many book chapters and, among his other scientific positions, has served as program chair for ACM Multimedia Conference '08, the Int. Conference on Image and Video Retrieval (CIVR'10), and as an organizing committee member for ACM SIG Management of Data Conference (SIGMOD'06). Since 2005, he has also served as an editorial board member for the Very Large Databases (VLDB) journal.
Inhaltsangabe
1. Introduction: multimedia applications and data management requirements 2. Models for multimedia data 3. Common representations of multimedia features 4. Feature quality and independence: why and how? 5. Indexing, search, and retrieval of sequences 6. Indexing, search, retrieval of graphs and trees 7. Indexing, search, and retrieval of vectors 8. Clustering techniques 9. Classification 10. Ranked retrieval 11. Evaluation of retrieval 12. User relevance feedback and collaborative filtering.
1. Introduction: multimedia applications and data management requirements 2. Models for multimedia data 3. Common representations of multimedia features 4. Feature quality and independence: why and how? 5. Indexing, search, and retrieval of sequences 6. Indexing, search, retrieval of graphs and trees 7. Indexing, search, and retrieval of vectors 8. Clustering techniques 9. Classification 10. Ranked retrieval 11. Evaluation of retrieval 12. User relevance feedback and collaborative filtering.
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