Video Content Analysis Using Multimodal Information: For Movie Content Extraction, Indexing and Representation

Li, Y. and Kuo, C.-C. J.

ISBN 10: 1402074905 / ISBN 13: 9781402074905

Published by Kluwer, 2003

About this Item

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9781402074905.

Seller Inventory # 8722701

Bibliographic Details

• Title: Video Content Analysis Using Multimodal Information: For Movie Content Extraction, Indexing and Representation
• Publisher: Kluwer
• Publication Date: 2003
• Language: English
• ISBN 10: 1402074905
• ISBN 13: 9781402074905
• Binding: Hardcover
• Condition: Good

About this title

Synopsis

With the fast growth ofmultimedia information, content-based video anal- ysis, indexing and representation have attracted increasing attention in re- cent years. Many applications have emerged in these areas such as video- on-demand, distributed multimedia systems, digital video libraries, distance learning/education, entertainment, surveillance and geographical information systems. The need for content-based video indexing and retrieval was also rec- ognized by ISOIMPEG, and a new international standard called "Multimedia Content Description Interface" (or in short, MPEG-7)was initialized in 1998 and finalized in September 2001. In this context, a systematic and thorough review ofexisting approaches as well as the state-of-the-art techniques in video content analysis, indexing and representation areas are investigated and studied in this book. In addition, we will specifically elaborate on a system which analyzes, indexes and abstracts movie contents based on the integration ofmultiple media modalities. Content ofeach part ofthis book is briefly previewed below. In the first part, we segment a video sequence into a set ofcascaded shots, where a shot consistsofone or more continuouslyrecorded image frames. Both raw and compressedvideo data will beinvestigated. Moreover, consideringthat there are always non-story units in real TV programs such as commercials, a novel commercial break detection/extraction scheme is developed which ex- ploits both audio and visual cues to achieve robust results. Specifically, we first employ visual cues such as the video data statistics, the camera cut fre- quency, and the existenceofdelimiting black frames between commercials and programs, to obtain coarse-level detection results.

Product Description

Video Content Analysis Using Multimodal Information Covers content-based multimedia analysis, indexing, representation and applications with a focus on feature films. This work presents advanced techniques in video content analysis domain, as well as many novel ideas and algorithms for movie content analysis based on the use of multimodal information. Full description