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

A Unified Framework for Video Summarization, Browsing & Retrieval: with Applications to Consumer and Surveillance Video [Hardcover]

Ziyou Xiong (Author), Regunathan Radhakrishnan (Author), Ajay Divakaran (Author), Yong Rui (Author), Thomas S. Huang (Author)

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Book Description

012369387X 978-0123693877 December 21, 2005 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 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

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Editorial Reviews

Book Description

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

From the Back Cover

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.

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
applause segments, hierarchical video representation, subsequence detection, motion intensity values, broadcast sports content, golf audio, averaged classification accuracy, normalized cut value, audio classification framework, golfers bending, soccer audio, catcher model, golfer bending, visual marker detection, labels time series, audio markers, second generalized eigenvector, average hue values, motion activity descriptor, speech with music, unscripted video, scripted content, temporal attraction, audio modeling, highlights extraction
Key Phrases - Capitalized Phrases (CAPs): (learn more)
World Cup, British Open, Average Recognition Rate, Recall Figure
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