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| A UNIFIED FRAMEWORK FOR VIDEO SUMMARIZATION, BROWSING & RETRIEVAL
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with Applications to Consumer and Surveillance Video
To order this title, and for more information, click here
By
Ziyou Xiong, United Technologies Research Center, East Hartford, CT, USA
Regunathan Radhakrishnan, Mitsubishi Electric Research Labs, Cambridge, MA, USA
Ajay Divakaran, Mitsubishi Electric Research Labs, Cambridge, MA, USA
Yong Rui, Microsoft Research, Redmond, WA, USA
Thomas Huang, Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana, IL, USA
Description
Large volumes of video content can only be easily accessed by the use of rapid browsing and retrieval techniques. Constructing a video
table of contents (ToC) and video highlights to enable end users to sift through all this data and find what they want, when they want
are essential. This reference puts forth a unified framework to integrate these functions supporting efficient browsing and retrieval
of video content. The authors have developed a cohesive way to create a video table of contents, video highlights, and video indices
that serve to streamline the use of applications in consumer and surveillance video applications.
The authors discuss the generation
of table of contents, extraction of highlights, different techniques for audio and video marker recognition, and indexing with low-level
features such as color, texture, and shape. Current applications including this summarization and browsing technology are also reviewed.
Applications such as event detection in elevator surveillance, highlight extraction from sports video, and image and video database
management are considered within the proposed framework. This book presents the latest in research and readers will find their search
for knowledge completely satisfied by the breadth of the information covered in this volume.
Audience
Electrical & computer engineers, computer scientists (especially computer graphics; SIGGRAPH), internet engineers, web developers, digital
cinematographers. R&D engineers at companies addressing multimedia (consumer) market, e.g., IBM, Mitsubishi, Hewlett-Packard, Intel,
Microsoft, Apple, etc.
Contents
Contents
Foreword
Chapter 1: Introduction
Chapter 2: Literature Survey
Chapter 3: Video Table-of-content Generation
Chapter 4: Video Highlights
Extraction
Chapter 5: Video Structure Discovery using Unsupervised Learning
Chapter 6: Video Indexing
Chapter 7: A Unified Framework
for Video Summarization, Browsing, and Retrieval
Chapter 8: Applications
Chapter 9: Conclusions
| Bibliographic details |
Hardbound, 296 pages, publication date: DEC-2005
ISBN-13: 978-0-12-369387-7
ISBN-10: 0-12-369387-X
Imprint: ACADEMIC PRESS
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Last update: 5 Sep 2009
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