A Unified Framework for Video Summarization, Browsing & Retrieval

1st Edition

with Applications to Consumer and Surveillance Video

Authors:

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.

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

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.

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

Details

No. of pages:
296
Language:
English
Copyright:
© 2006
Published:
Imprint:
Academic Press
eBook ISBN:
9780080481531
Print ISBN:
9780123693877

About the authors

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