Intelligent Systems for Video Analysis and Access Over the Internet / Edition 1

Hardcover (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $2.45
Usually ships in 1-2 business days
(Save 97%)
Other sellers (Hardcover)
  • All (10) from $2.45   
  • New (3) from $8.50   
  • Used (7) from $2.45   
Close
Sort by
Page 1 of 1
Showing 1 – 2 of 3
Note: Marketplace items are not eligible for any BN.com coupons and promotions
$8.50
Seller since 2005

Feedback rating:

(135)

Condition:

New — never opened or used in original packaging.

Like New — packaging may have been opened. A "Like New" item is suitable to give as a gift.

Very Good — may have minor signs of wear on packaging but item works perfectly and has no damage.

Good — item is in good condition but packaging may have signs of shelf wear/aging or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Acceptable — item is in working order but may show signs of wear such as scratches or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Used — An item that has been opened and may show signs of wear. All specific defects should be noted in the Comments section associated with each item.

Refurbished — A used item that has been renewed or updated and verified to be in proper working condition. Not necessarily completed by the original manufacturer.

New
2002-07-24 Hardcover New Brand new hardcover-no marks or highlights-ships with tracking #

Ships from: Zephyrhills, FL

Usually ships in 1-2 business days

  • Canadian
  • International
  • Standard, 48 States
  • Standard (AK, HI)
  • Express, 48 States
  • Express (AK, HI)
$50.00
Seller since 2014

Feedback rating:

(165)

Condition: New
Brand new.

Ships from: acton, MA

Usually ships in 1-2 business days

  • Standard, 48 States
  • Standard (AK, HI)
Page 1 of 1
Showing 1 – 2 of 3
Close
Sort by

Overview

New advances in real-time multimedia analysis, access, and Internet sharing.

  • The state of the art in automated multimedia content analysis, indexing, and access
  • Intelligent software agents for real time multimedia processing
  • New advances in organizing, presenting, and customizing multimedia information
  • Advanced algorithms for color, motion, sound, semantics, text, and video segmentation
  • Eliminating bottlenecks in Internet-based multimedia delivery systems

In this book, Wensheng Zhou and C.-C. Jay Kuo survey the latest advances in efficient, automated multimedia content analysis, indexing, and access for the next-generation multimedia Web. They present powerful new algorithms for analyzing the perceptual and conceptual contents of any multimedia stream, and introduce intelligent software agents for processing and decomposing multimedia streams in real time. Finally, they demonstrate how to integrate automated video analysis, clustering, and classification to organize, present, and customize immense amounts of content with unprecedented performance. Coverage includes:

  • New algorithms for analyzing color, motion, sound, semantics, and text
  • Accurate, high-performance algorithms for online video segmentation based on scene-change detection
  • Efficient decision-tree learning algorithms for linking perceptual features with semantic classifiers
  • Novel knowledge-based approaches for building video semantic inference/classification engines
  • Strategic deployment of intelligent software agents to eliminate bottlenecks
  • Hierarchical concept trees: Organizing videos for efficientautomated delivery

Whether you're an engineer, systems designer, or researcher, Intelligent Systems for Video Analysis and Access Over the Internet brings together breakthroughs you can use to enhance virtually any networked multimedia application.

IMSC Press Multimedia Series / Andrew Tescher, Series Editor

Part of the new IMSC Press Series from the Integrated Multimedia System Center at the University of Southern California, a federally funded center specializing in cutting-edge multimedia research.

Read More Show Less

Editorial Reviews

From The Critics
The latest advances in automated multimedia content analysis, indexing, and access for the next-generation multimedia Web are surveyed, and new algorithms are presented for analyzing the perceptual and conceptual contents of any multimedia stream. Intelligent software agents are introduced for processing and decomposing multimedia streams in real time, and integration of automated video analysis, clustering, and classification is demonstrated. Chapters cover on-line scene change detection of multicast video, knowledge-based video hierarchical classification, and video/audio/text feature representation and analysis. Zhou works in an information science lab. Kuo teaches electrical engineering and mathematics at the University of Southern California. Annotation c. Book News, Inc., Portland, OR
Read More Show Less

Product Details

  • ISBN-13: 9780130471178
  • Publisher: Pearson Education
  • Publication date: 7/12/2002
  • Edition number: 1
  • Pages: 208
  • Product dimensions: 6.98 (w) x 9.62 (h) x 0.87 (d)

Table of Contents

Preface
1 Introduction 1
2 On-Line Scene Change Detection of (MBONE) Multicast Video 25
3 Video/Audio/Text Feature Representation and Analysis 49
4 Knowledge-Based Video Hierarchical Classification 78
5 Experimental Results 104
6 System Integration 132
7 Conclusion and Future Work 157
References 163
Index 173
Read More Show Less

Preface

PREFACE

The explosion of on-line web information has given rise to many query-based textsearch engines (such as Alta Vista) and manually constructed topic hierarchies (suchas Yahoo!). With the current growth rate of web information, especially broadbandmultimedia data, query data are growing incomprehensibly large and manual classification in topic hierarchies is creating a major bottleneck. Consequently, the hugeamount of multimedia data is imposing on people a heavy burden of manipulating, searching, interpreting, skimming, and integrating information. Thus, efficientmultimedia content analysis tools are needed to address these user's needs.

This book presents a solution to problems arising from the demand for fastinformation access and for sharing in real-time multimedia transmission over theInternet. We present in this book a solution which exploits software agents thatare placed throughout the network environment. These hierarchical video analysisagents process multimedia streams in real time, and automatically decompose andunderstand the multimedia content so as to facilitate information access and sharing.

Multimedia content contains both the perceptual content such as color, motion,or acoustic features and the conceptual content, which is specified based on conceptsor semantics that can be expressed by text descriptions. Both types of contents areembedded simultaneously in multimedia streams, and usually are complementaryto each other. This book adaptively analyzes both kinds of video contents bycombining mixed media cues from audio, video and text.

First, a high-performance module for on-line video segmentation based on scene-change detection isdescribed. The module serves as the first step of any videostream construction and analysis. To meet the high computational demand, ourproposed video scene change detection algorithms are very efficient while maintaining high accuracy and recall rates for fast on-line video analysis.

Second, the perceptual features of audio and video data are analyzed in abottom-up manner and integrated so as to discriminate among the different eventsin any video stream effectively. An efficient decision-tree learning algorithm is usedto induce a set of if-then rules which link perceptual features with the video conceptual semantic contents. These rules not only serve as a video classifier, but alsoguide on-line real-time video/audio feature extraction and data redistribution. Anovel knowledge-based system, where knowledge is stored as learned rules, is proposed and described in this book to serve as a video semantic inference/classificationengine.

Third, we present our proposed hierarchical video categorization scheme basedon machine learning of the text information contained in a video—a scheme whichprovides a good complement to the video/audio classification subsystem. Thelearned text features for each video category are also stored in the knowledge base.To fuse the text classifier and the audio/video classifier, a media cue optimizer thatis trained by using the cue probability distribution based on the concept hierarchyis adopted to guide real-time media query and analysis.

The integration of hierarchical video analysis, clustering and classification allows a large amount of multimedia data to be organized and presented to usersin an individualized and comprehensible way. A general hierarchical concept treescheme is used to organize a video into a table-of-contents for video applications andenables a comprehensive agent-based solution to real-time multimedia distributionand sharing over the Internet.

Read More Show Less

Introduction

PREFACE

The explosion of on-line web information has given rise to many query-based textsearch engines (such as Alta Vista) and manually constructed topic hierarchies (suchas Yahoo!). With the current growth rate of web information, especially broadbandmultimedia data, query data are growing incomprehensibly large and manual classification in topic hierarchies is creating a major bottleneck. Consequently, the hugeamount of multimedia data is imposing on people a heavy burden of manipulating, searching, interpreting, skimming, and integrating information. Thus, efficientmultimedia content analysis tools are needed to address these user's needs.

This book presents a solution to problems arising from the demand for fastinformation access and for sharing in real-time multimedia transmission over theInternet. We present in this book a solution which exploits software agents thatare placed throughout the network environment. These hierarchical video analysisagents process multimedia streams in real time, and automatically decompose andunderstand the multimedia content so as to facilitate information access and sharing.

Multimedia content contains both the perceptual content such as color, motion,or acoustic features and the conceptual content, which is specified based on conceptsor semantics that can be expressed by text descriptions. Both types of contents areembedded simultaneously in multimedia streams, and usually are complementaryto each other. This book adaptively analyzes both kinds of video contents bycombining mixed media cues from audio, video and text.

First, a high-performance module for on-line video segmentation based on scene-changedetection is described. The module serves as the first step of any videostream construction and analysis. To meet the high computational demand, ourproposed video scene change detection algorithms are very efficient while maintaining high accuracy and recall rates for fast on-line video analysis.

Second, the perceptual features of audio and video data are analyzed in abottom-up manner and integrated so as to discriminate among the different eventsin any video stream effectively. An efficient decision-tree learning algorithm is usedto induce a set of if-then rules which link perceptual features with the video conceptual semantic contents. These rules not only serve as a video classifier, but alsoguide on-line real-time video/audio feature extraction and data redistribution. Anovel knowledge-based system, where knowledge is stored as learned rules, is proposed and described in this book to serve as a video semantic inference/classificationengine.

Third, we present our proposed hierarchical video categorization scheme basedon machine learning of the text information contained in a video—a scheme whichprovides a good complement to the video/audio classification subsystem. Thelearned text features for each video category are also stored in the knowledge base.To fuse the text classifier and the audio/video classifier, a media cue optimizer thatis trained by using the cue probability distribution based on the concept hierarchyis adopted to guide real-time media query and analysis.

The integration of hierarchical video analysis, clustering and classification allows a large amount of multimedia data to be organized and presented to usersin an individualized and comprehensible way. A general hierarchical concept treescheme is used to organize a video into a table-of-contents for video applications andenables a comprehensive agent-based solution to real-time multimedia distributionand sharing over the Internet.

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)