A Unified Framework for Video Summarization, Browsing & Retrieval
with Applications to Consumer and Surveillance Video
- 1st Edition - December 7, 2005
- Imprint: Academic Press
- Authors: Ziyou Xiong, Regunathan Radhakrishnan, Ajay Divakaran, Zou Yong-Rui, Thomas S. Huang
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 4 1 1 1 8 7 - 5
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 4 8 1 5 3 - 1
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… Read more
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Request a sales quoteLarge 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.
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.
* 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
* 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
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
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
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
- Edition: 1
- Published: December 7, 2005
- No. of pages (eBook): 296
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780124111875
- eBook ISBN: 9780080481531
ZX
Ziyou Xiong
Affiliations and expertise
United Technologies Research Center, East Hartford, CT, USARR
Regunathan Radhakrishnan
Affiliations and expertise
Mitsubishi Electric Research Labs, Cambridge, MA, USAAD
Ajay Divakaran
Affiliations and expertise
Mitsubishi Electric Research Labs, Cambridge, MA, USAZY
Zou Yong-Rui
Affiliations and expertise
Microsoft Research, Redmond, WA, USATH
Thomas S. Huang
Thomas S. Huang received his B.S. Degree in Electrical Engineering from National Taiwan University, Taipei, Taiwan, China; and his M.S. and Sc.D. Degrees in Electrical Engineering from the Massachusetts Institute of Technology, Cambridge, Massachusetts. He was on the Faculty of the Department of Electrical Engineering at MIT from 1963 to 1973; and on the Faculty of the School of Electrical Engineering and Director of its Laboratory for Information and Signal Processing at Purdue University from 1973 to 1980.
Dr. Huang's professional interests lie in the broad area of information technology, especially the transmission and processing of multidimensional signals. He has published 21 books, and over 600 papers in Network Theory, Digital Filtering, Image Processing, and Computer Vision. Among his many honors and awards: Honda Lifetime Achievement Award, IEEE Jack Kilby Signal Processing Medal, and the King-Sun Fu Prize of the International Association for Pattern Recognition.
Affiliations and expertise
Professor, University of Illinois at Urbana-Champaign, USARead A Unified Framework for Video Summarization, Browsing & Retrieval on ScienceDirect