Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance, and Authoring

Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance, and Authoring

Editor(s): Mark T. Maybury

Published Online: 24 AUG 2012 01:11PM EST

Print ISBN: 9781118118917

Online ISBN: 9781118219546

DOI: 10.1002/9781118219546

About this Book

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. 

Table of contents

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  1. Section 1: Image Extraction

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  2. Section 2: Video Extraction

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    2. Chapter 10

      Semantic Multimedia Extraction Using Audio and Video (pages 159–174)

      Evelyne Tzoukermann, Geetu Ambwani, Amit Bagga, Leslie Chipman, Anthony R. Davis, Ryan Farrell, David Houghton, Oliver Jojic, Jan Neumann, Robert Rubinoff, Bageshree Shevade and Hongzhong Zhou

    3. Chapter 12

      Web-Based Multimedia Information Extraction Based on Social Redundancy (pages 185–200)

      Jose San Pedro, Stefan Siersdorfer, Vaiva Kalnikaite and Steve Whittaker

  3. Section 3: Audio, Graphics, and Behavior Extraction

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    2. Chapter 14

      Automatic Detection, Indexing, and Retrieval of Multiple Attributes from Cross-Lingual Multimedia Data (pages 221–233)

      Qian Hu, Fred J. Goodman, Stanley M. Boykin, Randall K. Fish, Warren R. Greiff, Stephen R. Jones and Stephen R. Moore

    3. Chapter 15

      Information Graphics in Multimodal Documents (pages 235–252)

      Sandra Carberry, Stephanie Elzer, Richard Burns, Peng Wu, Daniel Chester and Seniz Demir

    4. Chapter 16

      Extracting Information from Human Behavior (pages 253–267)

      Fabio Pianesi, Bruno Lepri, Nadia Mana, Alessandro Cappelletti and Massimo Zancanaro

  4. Section 4: Affect Extraction from Audio and Imagery

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    2. Chapter 17

      Retrieval of Paralinguistic Information in Broadcasts (pages 273–287)

      Björn Schuller, Martin Wöllmer, Florian Eyben and Gerhard Rigoll

  5. Section 5: Multimedia Annotation and Authoring

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    2. Chapter 24

      Annotating Significant Relations on Multimedia Web Documents (pages 401–417)

      Matusala Addisu, Danilo Avola, Paola Bianchi, Paolo Bottoni, Stefano Levialdi and Emanuele Panizzi

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