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A Unified Framework for Video Summarization, Browsing & Retrieval
 
 

A Unified Framework for Video Summarization, Browsing & Retrieval, 1st Edition

with Applications to Consumer and Surveillance Video

 
A Unified Framework for Video Summarization, Browsing & Retrieval, 1st Edition,Ziyou Xiong,Regunathan Radhakrishnan,Ajay Divakaran,Yong Rui,Thomas Huang,ISBN9780080481531
 
 
 

  &      &      &      &      

Academic Press

9780080481531

296

This book COMPLETELY covers the techniques of video summarization, browsing and retrieval.

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Key Features

* Offers the latest in cutting edge research and applications in surveillance and consumer video

* Presentation of a novel unified framework aimed at successfully sifting through the abundance of footage gathered daily at shopping malls, airports, and other commercial facilities

* Concisely written by leading contributors in the signal processing industry with step-by-step instruction in building video ToC and indices

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.

Readership

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.

Ziyou Xiong

Affiliations and Expertise

United Technologies Research Center, East Hartford, CT, USA

Regunathan Radhakrishnan

Affiliations and Expertise

Mitsubishi Electric Research Labs, Cambridge, MA, USA

Ajay Divakaran

Affiliations and Expertise

Mitsubishi Electric Research Labs, Cambridge, MA, USA

Yong Rui

Affiliations and Expertise

Microsoft Research, Redmond, WA, USA

Thomas Huang

Affiliations and Expertise

Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana, IL, USA

A Unified Framework for Video Summarization, Browsing & Retrieval, 1st Edition

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
 
 

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