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Multimedia information extraction = ...

Maybury, Mark T.

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Multimedia information extraction = advances in video, audio, and imagery analysis for search, data mining, surveillance, and authoring /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multimedia information extraction/ edited by Mark T. Maybury.
Reminder of title:	advances in video, audio, and imagery analysis for search, data mining, surveillance, and authoring /
other author:	Maybury, Mark T.
Published:	Los Alamitos, CA :Wiley, : 2012.,
Description:	1 online resource (xxi, 474 p.) :ill., map
Subject:	Data mining. -
Online resource:	http://onlinelibrary.wiley.com/book/10.1002/9781118219546
ISBN:	9781118219546 (electronic bk.)

Multimedia information extraction = advances in video, audio, and imagery analysis for search, data mining, surveillance, and authoring /
Multimedia information extractionadvances in video, audio, and imagery analysis for search, data mining, surveillance, and authoring /[electronic resource] :edited by Mark T. Maybury. - Los Alamitos, CA :Wiley,2012. - 1 online resource (xxi, 474 p.) :ill., map

Includes bibliographical references and index.

Multimedia Information Extraction: History and State of the Art--Section 1:

"The advent of increasingly large consumer collections of audio (e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube) is driving a need not only for multimedia retrieval but also information extraction from and across media. Furthermore, industrial and government collections fuel requirements for stock media access, media preservation, broadcast news retrieval, identity management, and video surveillance. While significant advances have been made in language processing for information extraction from unstructured multilingual text and extraction of objects from imagery and video, these advances have been explored in largely independent research communities who have addressed extracting information from single media (e.g., text, imagery, audio). And yet users need to search for concepts across individual media, author multimedia artifacts, and perform multimedia analysis in many domains.This collection is intended to serve several purposes, including reporting the current state of the art, stimulating novel research, and encouraging cross-fertilization of distinct research disciplines. The collection and integration of a common base of intellectual material will provide an invaluable service from which to teach a future generation of cross disciplinary media scientists and engineers. "--

ISBN: 9781118219546 (electronic bk.)

Standard No.: 9786613862259Subjects--Topical Terms:

562972
Data mining.

LC Class. No.: QA76.9.D343 M396 2012

Dewey Class. No.: 006.312

Multimedia information extraction = advances in video, audio, and imagery analysis for search, data mining, surveillance, and authoring /
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020 $a 9781118219546 (electronic bk.)
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020 $a 1118219546 (electronic bk.)
020 $z 111811891X
020 $z 9781118118917
024 8 $a 9786613862259
035 $a (OCoLC)801366214 $z (OCoLC)812066297
035 $a ocn801366214
040 $a EBLCP $b eng $c EBLCP $d OCLCQ $d YDXCP $d N $d UIU $d E7B $d OCLCQ $d CDX $d OCLCO $d COO $d OCLCQ $d DG1 $d IEEEE $d ZMC
050 4 $a QA76.9.D343 M396 2012
082 0 4 $a 006.312 $2 23
245 0 0 $a Multimedia information extraction $h [electronic resource] : $b advances in video, audio, and imagery analysis for search, data mining, surveillance, and authoring / $c edited by Mark T. Maybury.
260 $a Los Alamitos, CA : $b Wiley, $c 2012.
300 $a 1 online resource (xxi, 474 p.) : $b ill., map
504 $a Includes bibliographical references and index.
505 0 0 $t Multimedia Information Extraction: History and State of the Art-- $g Section 1: $t Image Extraction -- $t Visual Feature Localization for Detecting Unique Objects in Images -- $t Entropy-Based Analysis of Visual and Geolocation Concepts in Images -- $t The Meaning of 3D Shape and Some Techniques to Extract it -- $t A Data-Driven Meaningful Representation of Emotional Facial Expressions -- $g Section 2: $t Video Extraction -- $t Visual Semantics for Reducing False Positives in Video Search -- $t Automated Analysis of Ideological Bias in Video -- $t Multimedia Information Extraction in a Live Multilingual News Monitoring System -- $t Semantic Multimedia Extraction Using Audio and Video -- $t Analysis of Multimodal Natural Language Content in Broadcast Video -- $t Web-Based Multimedia Information Extraction Based on Social Redundancy -- $t Information Fusion and Anomaly Detection with Uncalibrated Cameras in Video Surveillance -- $g Section 3: $t Audio, Graphics, and Behavior Extraction -- $t Automatic Detection, Indexing, and Retrieval of Multiple Attributes from Cross-Lingual Multimedia Data -- $t Information Graphics in Multimodal Documents -- $t Extracting Information from Human Behavior -- $g Section 4: $t Affect Extraction from Audio and Imagery -- $t Retrieval of Paralinguistic Information in Broadcasts -- $t Audience Reactions for Information Extraction About Persuasive Language in Political Communication -- $t The Need for Affective Metadata in Content-Based Recommender Systems for Images -- $t Affect-Based Indexing for Multimedia Data -- $g Section 5: $t Multimedia Annotation and Authoring -- $t Multimedia Annotation, Querying, and Analysis in Anvil -- $t Toward Formalization of Display Grammar for Interactive Media Production with Multimedia Information Extraction -- $t Information Extraction -- $t Annotating Significant Relations on Multimedia Web Documents -- $t Abbreviations and Acronyms -- $t References -- $t Index.
520 $a "The advent of increasingly large consumer collections of audio (e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube) is driving a need not only for multimedia retrieval but also information extraction from and across media. Furthermore, industrial and government collections fuel requirements for stock media access, media preservation, broadcast news retrieval, identity management, and video surveillance. While significant advances have been made in language processing for information extraction from unstructured multilingual text and extraction of objects from imagery and video, these advances have been explored in largely independent research communities who have addressed extracting information from single media (e.g., text, imagery, audio). And yet users need to search for concepts across individual media, author multimedia artifacts, and perform multimedia analysis in many domains.This collection is intended to serve several purposes, including reporting the current state of the art, stimulating novel research, and encouraging cross-fertilization of distinct research disciplines. The collection and integration of a common base of intellectual material will provide an invaluable service from which to teach a future generation of cross disciplinary media scientists and engineers. "-- $c Provided by publisher.
588 $a Description based upon print version of record.
650 0 $a Data mining. $3 562972
650 0 $a Metadata harvesting. $3 2146986
650 0 $a Computer files. $3 2146987
700 1 $a Maybury, Mark T. $3 582828
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118219546