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25 Remote Warehouse Computers Reference- General

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Video Mining (Kluwer International Series in Video Computing)

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Video Mining (Kluwer International Series in Video Computing) Cover

 

Synopses & Reviews

Publisher Comments:

Video Mining is an essential reference for the practitioners and academicians in the fields of multimedia search engines.

Half a terabyte or 9,000 hours of motion pictures are produced around the world every year. Furthermore, 3,000 television stations broadcasting for twenty-four hours a day produce eight million hours per year, amounting to 24,000 terabytes of data. Although some of the data is labeled at the time of production, an enormous portion remains unindexed. For practical access to such huge amounts of data, there is a great need to develop efficient tools for browsing and retrieving content of interest, so that producers and end users can quickly locate specific video sequences in this ocean of audio-visual data.

Video Mining is important because it describes the main techniques being developed by the major players in industry and academic research to address this problem. It is the first time research from these leaders in the field developing the next-generation multimedia search engines is being described in great detail and gathered into a single volume.

Video Mining will give valuable insights to all researchers and non-specialists who want to understand the principles applied by the multimedia search engines that are about to be deployed on the Internet, in studios' multimedia asset management systems, and in video-on-demand systems.

Book News Annotation:

Expansions of 11 selected papers explore recent developments in applying theories and techniques of data mining—discovering and describing patterns of interest in data—to data consisting of video sequences, with or without an audio component. Contributors from various industries and universities, mostly in the US, consider video browsing using multiple synchronized views; the physical setting as a video mining primitive; temporal video boundaries; video summarization using activity and audio descriptors; content analysis using multimodal information; video categorization using semantics and semiotics; and other topics. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

Video Mining is an essential reference for the practitioners and academicians in the fields of multimedia search engines. Half a terabyte or 9,000 hours of motion pictures are produced around the world every year. Furthermore, 3,000 television stations broadcasting for twenty-four hours a day produce eight million hours per year, amounting to 24,000 terabytes of data. Although some of the data is labeled at the time of production, an enormous portion remains unindexed. For practical access to such huge amounts of data, there is a great need to develop efficient tools for browsing and retrieving content of interest, so that producers and end users can quickly locate specific video sequences in this ocean of audio-visual data. Video Mining is important because it describes the main techniques being developed by the major players in industry and academic research to address this problem. It is the first time research from these leaders in the field developing the next-generation multimedia search engines is being described in great detail and gathered into a single volume. Video Mining will give valuable insights to all researchers and non-specialists who want to understand the principles applied by the multimedia search engines that are about to be deployed on the Internet, in studios' multimedia asset management systems, and in video-on-demand systems.

Table of Contents

1. Efficient Video Browsing.- 2. Beyond Key-Frames: The Physical Setting as a Video Mining Primitive.- 3. Temporal Video Boundaries.- 4. Video Summarization using MPEG-7 Motion Activity and Audio Descriptors.- 5. Movie Content Analysis, Indexing and Skimming Via Multimodal Information.- 6. Video OCR: A Survey and Practitioner's Guide.- 7. Video Categorization Using Semantics and Semiotics.- 8. Understanding the Semantics of Media.- 9. Statistical Techniques for Video Analysis and Searching.- 10. Mining Statistical Video Structures.- 11. Pseudo-Relevance Feedback for Multimedia Retrieval.- Index.

Product Details

ISBN:
9781402075490
Author:
Doermann, David
Publisher:
Springer
Author:
Rosenfeld, Azriel
Author:
Dementhon, Daniel
Location:
Boston, MA
Subject:
General
Subject:
Computer Science
Subject:
Data mining
Subject:
Multimedia systems
Subject:
Artificial Intelligence - General
Subject:
Intelligence (AI) & Semantics
Subject:
Data Structures, Cryptology and Information Theory
Subject:
multimedia information systems
Subject:
Electrical engineering
Subject:
Computers-Reference - General
Subject:
Information Theory
Subject:
Language, literature and biography
Subject:
Data structures (Computer scienc
Subject:
Computer Engineering
Copyright:
Edition Number:
1
Edition Description:
Book
Series:
Kluwer International Series in Video Computing
Series Volume:
6
Publication Date:
20030831
Binding:
HARDCOVER
Language:
English
Illustrations:
Yes
Pages:
349
Dimensions:
235 x 155 mm 1490 gr

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Health and Self-Help » Health and Medicine » General
Health and Self-Help » Health and Medicine » General Medicine
Science and Mathematics » Electricity » General Electronics
Science and Mathematics » Mathematics » General

Video Mining (Kluwer International Series in Video Computing) New Hardcover
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Product details 349 pages Kluwer Academic Publishers - English 9781402075490 Reviews:
"Synopsis" by , Video Mining is an essential reference for the practitioners and academicians in the fields of multimedia search engines. Half a terabyte or 9,000 hours of motion pictures are produced around the world every year. Furthermore, 3,000 television stations broadcasting for twenty-four hours a day produce eight million hours per year, amounting to 24,000 terabytes of data. Although some of the data is labeled at the time of production, an enormous portion remains unindexed. For practical access to such huge amounts of data, there is a great need to develop efficient tools for browsing and retrieving content of interest, so that producers and end users can quickly locate specific video sequences in this ocean of audio-visual data. Video Mining is important because it describes the main techniques being developed by the major players in industry and academic research to address this problem. It is the first time research from these leaders in the field developing the next-generation multimedia search engines is being described in great detail and gathered into a single volume. Video Mining will give valuable insights to all researchers and non-specialists who want to understand the principles applied by the multimedia search engines that are about to be deployed on the Internet, in studios' multimedia asset management systems, and in video-on-demand systems.
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