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Self-Esteem Companion

Overview

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 ...

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Overview

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.

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Product Details

  • ISBN-13: 9781459628335
  • Publisher: ReadHowYouWant.com, Limited
  • Publication date: 9/7/2011
  • Edition number: 2
  • Pages: 216

Meet the Author

Mark T. Maybury, Ph.D., is Executive Director of MITRE's Information Technology Division (itc.mitre.org). Dr. Maybury is a member of the Board of Directors of the Object Management Group (1999-present) and the Air Force Scientific Advisory Board (2007-2011). He is a member of the ACM Intelligent User Interface Steering Committee and has served on the Advanced Visual Interfaces Program Committee for over ten years. Dr. Maybury received his B.A. in Mathematics from the College of the Holy Cross, an M. Phil. in Computer Speech and Language Processing from Cambridge University, England, an M.B.A. from Rensselaer Polytechnic Institute, and a Ph.D. in Artificial Intelligence from Cambridge University.

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