Skip to content
Register Sign in Wishlist

Data Management for Multimedia Retrieval


  • Date Published: August 2010
  • availability: In stock
  • format: Hardback
  • isbn: 9780521887397

£ 49.99

Add to cart Add to wishlist

Other available formats:

Looking for an inspection copy?

This title is not currently available on inspection

Product filter button
About the Authors
  • Multimedia data require specialised management techniques because the representations of colour, time, semantic concepts, and other underlying information can be drastically different from one another. This textbook on multimedia data management techniques gives 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. After introducing models for multimedia data (images, video, audio, text, and web) and for their features, such as colour, texture, shape, and time, the book presents data structures and algorithms that help store, index, cluster, classify, and access common data representations. The authors also introduce techniques, such as relevance feedback and collaborative filtering, for bridging the 'semantic gap' and present the applications of these to emerging topics, including web and social networking.

    • Focuses in a balanced manner on both 'data structures/databases' and 'mining/retrieval' aspects of multimedia data management. Most other books in the area cover only one or the other
    • Organized in terms of basic data models (vectors, strings, trees, graphs, and fuzzy/probabilistic representations) that cover a large spectrum of media types instead of being limited to one or two special media types (such as images)
    • Each topic is covered from basic to advanced concepts; thus the book can be of interest to readers of different levels
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity


    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?


    Product details

    • Date Published: August 2010
    • format: Hardback
    • isbn: 9780521887397
    • length: 500 pages
    • dimensions: 260 x 185 x 28 mm
    • weight: 1.04kg
    • contains: 195 b/w illus. 15 tables
    • availability: In stock
  • Table of Contents

    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.

  • Authors

    K. Selçuk Candan, Arizona State University
    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, Università degli Studi di Torino, Italy
    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.

Sign In

Please sign in to access your account


Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner Please see the permission section of the catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.


Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

Please fill in the required fields in your feedback submission.