A Unified Framework for Video Summarization, Browsing & Retrieval, First Edition : with Applications to Consumer and Surveillance Video

Ziyou Xiong, Regunathan Radhakrishnan, Ajay Divakaran, Zou Yong-Rui, Thomas S. Huang

  • 出版商: Academic Press
  • 出版日期: 2005-12-21
  • 定價: $2,380
  • 售價: 1.3$299
  • 語言: 英文
  • 頁數: 296
  • 裝訂: Hardcover
  • ISBN: 012369387X
  • ISBN-13: 9780123693877

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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.

 

 Table Of 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