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Multimedia information extraction : advances in video, audio, and imagery analysis for search, data mining, surveillance, and authoring / edited by Mark T. Maybury.

Contributor(s): Material type: TextTextPublication details: Hoboken, N.J. : Wiley, c2012.Description: xxi, 474 p. : ill. ; 26 cmISBN:
  • 9781118118917:
  • 111811891X
  • 9781118219546 (electronic bk.)
  • 9781118219515 (electronic bk.)
  • 1118219511 (electronic bk.)
  • 1118219546 (electronic bk.)
Subject(s): Genre/Form: Additional physical formats: Print version:: Multimedia information extractionDDC classification:
  • 006.312
LOC classification:
  • M396 2012
Online resources: Summary: "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. "-- Provided by publisher
No physical items for this record

IEEE ebook

IT Carlow ebook

Includes bibliographical references and index.

"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. "-- Provided by publisher

Description based upon print version of record.

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