Overview
Understand the basics of the technologies used in today’s video search engines
Learn which video indexing techniques are appropriate for given types of video material, and be able to decide on suitable methods for new video content types
Be able to differentiate between proven, practical techniques and those that are speculative, under development, or of narrow applicability
Be able to determine which topics in video search are of interest to them for further study
Because the book will:
Explain the overall process of video content acquisition, indexing and retrieval with browsing
Provide overviews of constituent technologies such as information retrieval, internet video systems, video and multimedia processing to extract index data
Give examples of existing systems and describe their features
Feature a companion website to provide links to internet resources
Includes supplementary material: sn.pub/extras
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (11 chapters)
Keywords
About this book
Reviews
From the reviews:
"Gibbon and Liu attribute the growing importance of video search engine technology to the rapid growth of video on the Web and the ever-increasing speed of broadband access to the Internet. … As the title suggests, this text … provide a comprehensive treatment of the current state of such technology, and can serve as a reference tool for readers of all levels. Clearly, the applications of multimedia searches cover many disciplines, so this book should broaden many readers’ perspectives." (R. Goldberg, ACM Computing Reviews, October, 2009)
“This book by David C. Gibbon and Zhu Liu from AT&T is a timely analysis of the current state of the art in video search … . Overall I very much enjoyed reading this book and would recommend it to colleagues. … I feel that this book will serve as a useful reference for me in future work. I would also recommend this book to others working in information retrieval who want to understand video content and the processing of this multimedia data source.” (Colum Foley, Information Retrieval, Issue 13, 2010)
Authors and Affiliations
About the authors
David Gibbon joined Bell Laboratories in 1985 and is currently a Lead Member of Technical Staff in the Video and Multimedia Services Research Department at AT&T Labs - Research. His research interests include multimedia processing for searching and browsing of video databases and real-time video processing for communications applications. David has written book chapters and encyclopedia articles as well as numerous technical papers; he has 40 US patent filings and holds 14 US patents in the areas of multimedia indexing, streaming, and video analysis; and he is a member of the ACM, and a senior member of the IEEE. David contributes to IPTV industry standards for metadata and in 2007 he was awarded the AT&T Science and Technology Medal for outstanding technical leadership and innovation in the field of Video and Multimedia Processing and Digital Content Management.
Zhu Liu joined AT&T Labs - Research in 2000, and he is currently a Principal Member of Technical Staff in the Video and Multimedia Services Research Department. His research interests include multimedia content processing, multimedia databases, pattern recognition, and machine learning. Zhu holds 7 US patents and he is the inventor of more than 20 pending patents in the areas of multimedia service and content analysis. He has published more than 40 refereed papers in international leading journals and at key conferences in the areas of multimedia. He is a member of ACM and Tau Beta Pi, and a senior member of the IEEE.
Bibliographic Information
Book Title: Introduction to Video Search Engines
Authors: David C. Gibbon, Zhu Liu
DOI: https://doi.org/10.1007/978-3-540-79337-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-79336-6Published: 26 September 2008
Softcover ISBN: 978-3-642-09820-8Published: 19 October 2010
eBook ISBN: 978-3-540-79337-3Published: 20 September 2008
Edition Number: 1
Number of Pages: XVI, 276
Number of Illustrations: 79 b/w illustrations
Topics: Information Storage and Retrieval, Signal, Image and Speech Processing, Image Processing and Computer Vision, Pattern Recognition, Information Systems Applications (incl. Internet), Natural Language Processing (NLP)