Data Management for Multimedia Retrieval Hardback - Tapa dura

Candan; Sapino

 
9780521887397: Data Management for Multimedia Retrieval Hardback

Sinopsis

This wide-ranging textbook on multimedia data management gives a unified perspective on retrieval efficiency and effectiveness. It presents data structures and algorithms for storing, indexing, clustering, classifying, and accessing common multimedia data representations, plus related techniques such as relevance feedback and collaborative filtering.

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Acerca de los autores

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.

Maria Luisa Sapino is a Professor in the Department of Computer Science at the University of Torino, where she also earned her Ph.D. There she leads the multimedia and heterogeneous data management group. Her scientific contributions include more than 60 conference and journal papers; her services as chair, organizer, and program committee member in major conferences and workshops on multimedia; and her collaborations with industrial research labs, including the RAI-Crit (Center for Research and Technological Innovation) and Telecom Italia Lab, on multimedia technologies.

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