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An audio/video analysis mechanism for web indexing

Published: 23 May 2006 Publication History

Abstract

The high availability of video streams is making necessary mechanisms for indexing such contents in the Web world. In this paper we focus on news programs and we propose a mechanism that integrates low and high level video features to provide a high level semantic description. A color/luminance analysis is coupled with audio analysis to provide a better identification of all the video segments that compose the video stream. Each video segment is subject to speech detection and is described through MPEG7 so that the resulting metadata description can be used to index the video stream. An experimental evaluation shows the benefits of integrating audio and video analysis.

References

[1]
Y. Hayashi et al., Speech-based and Video-Supported Indexing of Multimedia Broadcast News, Proc. of SIGIR03, July 28-August 1, 2003, Toronto, Canada.
[2]
J. Zhou, X.P. Zhang, A Web-Enabled Video Indexing System, Proc. of MIR04, October, 15-16 2004, New York, ACM
[3]
M. R. Naphade, T. S. Huang, Extracting Semantics From Audiovisual Content: The Final Frontier in Multimedia Retrieval, IEEE Transaction on Neural Networks, Vol. 13, No.4, July 2002.
[4]
N. Babaguchi, Y. Kawai, T. Kitahashi, Event Based Indexing of Broadcasted Sports Video by Intermodal Collaboration, IEEE Transaction on Multimedia, Vol. 4, No. 1, March 2002
[5]
J. Yuan, L. Y. Duan, Q. Tian, C. Xu, Fast and Robust Short Video Clip Search Using an Index Sructure, Proc. of MIR04, October 15-16 2004, New York, USA
[6]
L. Y. Duan, M. Xu, Q. Tian, C. S. Xu, J. S. Jin, A Unified Framework for Semantic Shot Classification in Sports Video, IEEE Transactions of Multimedia, Vol. 7, No. 6, Dec. 2005
[7]
Sphinx Project. Carnegie Mellon University, PittsBurgh. http://cmusphinx.sourceforge.net

Cited By

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  • (2018)On introducing timed tag-clouds in video lectures indexingMultimedia Tools and Applications10.1007/s11042-016-4282-577:1(967-984)Online publication date: 1-Jan-2018
  • (2015)ViMood: Using social emotions to improve video indexing2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC)10.1109/CCNC.2015.7158073(761-766)Online publication date: Jan-2015

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  1. An audio/video analysis mechanism for web indexing

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    cover image ACM Conferences
    WWW '06: Proceedings of the 15th international conference on World Wide Web
    May 2006
    1102 pages
    ISBN:1595933239
    DOI:10.1145/1135777
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 23 May 2006

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    Author Tags

    1. MPEG7-DDL
    2. automatic speech fecognition
    3. contents indexing
    4. shot boundary detection
    5. video indexing

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    View all
    • (2018)On introducing timed tag-clouds in video lectures indexingMultimedia Tools and Applications10.1007/s11042-016-4282-577:1(967-984)Online publication date: 1-Jan-2018
    • (2015)ViMood: Using social emotions to improve video indexing2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC)10.1109/CCNC.2015.7158073(761-766)Online publication date: Jan-2015

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