Video Mining / Edition 1

Video Mining / Edition 1

by Azriel Rosenfeld
     
 

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ISBN-10: 1402075499

ISBN-13: 9781402075490

Pub. Date: 08/31/2003

Publisher: Springer US

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

Overview

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.

Product Details

ISBN-13:
9781402075490
Publisher:
Springer US
Publication date:
08/31/2003
Series:
The International Series in Video Computing, #6
Edition description:
2003
Pages:
340
Product dimensions:
6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Prefaceix
1Efficient Video Browsing1
2Beyond Key-Frames: The Physical Setting as a Video Mining Primitive31
3Temporal Video Boundaries61
4Video Summarization using MPEG-7 Motion Activity and Audio Descriptors91
5Movie Content Analysis, Indexing and Skimming Via Multimodal Information123
6Video OCR: A Survey and Practitioner's Guide155
7Video Categorization Using Semantics and Semiotics185
8Understanding the Semantics of Media219
9Statistical Techniques for Video Analysis and Searching253
10Mining Statistical Video Structures279
11Pseudo-Relevance Feedback for Multimedia Retrieval309
Index339

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