A Unified Framework for Video Summarization, Browsing and Retrieval: With Applications to Consumer And Surveillance Video - Rilegato

Radhakrishnan, Regunathan; Divakaran, Ajay; Rui, Yong; Huang, Thomas S.

Rilegato

ISBN 10: 012369387X ISBN 13: 9780123693877

Casa editrice: Academic Pr, 2006

Riassunto

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.

* 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

Su questo libro

Informazioni sull?autore

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.

Dalla quarta di copertina

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:
+ 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
+ Offers the latest in cutting edge research and applications in surveillance and consumer video
+ Concisely written by leading contributors in the signal processing industry with step-by-step instruction in building video ToC and indices

About the Authors:
Ziyou Xiong is a senior research engineer/scientist at the Dynamic Modeling and Analysis group of the United Technologies Research Center. Regunathan Radhakrishnan currently is a visiting researcher at Mitsubishi Electric Research Laboratories. Ajay Divakaran currently leads the Data and Sensor Systems Team at the Technology Laboratory of Mitsubishi Electric Research Laboratories. Yong Rui is a researcher in the Communication and Collaboration Systems group at Microsoft Research, where he leads the Multimedia Collaboration team. Thomas S. Huang is a William L. Everitt Distinguished Professor of Electrical and Computer Engineering, and head of the Image Formation and Processing Group at the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign.|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:
+ 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
+ Offers the latest in cutting edge research and applications in surveillance and consumer video
+ Concisely written by leading contributors in the signal processing industry with step-by-step instruction in building video ToC and indices

About the Authors:
Ziyou Xiong is a senior research engineer/scientist at the Dynamic Modeling and Analysis group of the United Technologies Research Center.Regunathan Radhakrishnan currently is a visiting researcher at Mitsubishi Electric Research Laboratories.Ajay Divakaran currently leads the Data and Sensor Systems Team at the Technology Laboratory of Mitsubishi Electric Research Laboratories.Yong Rui is a researcher in the Communication and Collaboration Systems group at Microsoft Research, where he leads the Multimedia Collaboration team.Thomas S. Huang is a William L. Everitt Distinguished Professor of Electrical and Computer Engineering, and head of the Image Formation and Processing Group at the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign.

Dettagli dell?edizione

• Editore: Academic Pr
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 012369387X
• ISBN 13: 9780123693877
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 267
• Redattore: Xiong Ziyou
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile