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Temporal video segmentation for real-time key frame extraction

Calic, J. and Sav, Sorin and Izquierdo, Ebroul and Marlow, Seán and Murphy, Noel and O'Connor, Noel E. (2002) Temporal video segmentation for real-time key frame extraction. In: ICASSP 2002 - International Conference on Acoustics, Speech and Signal Processing, 13-17 May 2002, Orlando, Florida.

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Abstract

The extensive amount of media coverage today, generates difficulties in identifying and selecting desired information. Browsing and retrieval systems become more and more necessary in order to support users with powerful and easy-to-use tools for searching, browsing and summarization of information content. The starting point for these tasks in video browsing and retrieval systems is the low level analysis of video content, especially the segmentation of video content into shots. This paper presents a fast and efficient way to detect shot changes using only the temporal distribution of macroblock types in MPEG compressed video. The notion of a dominant reference frame is introduced. A dominant frame denotes the reference frame (I or P) used as prediction reference for most of the macroblocks from a subsequent B frame.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:content-based retrieval; data compression; feature extraction; image retrieval; image segmentation; image sequences; video coding; video databases;
Subjects:Computer Science > Video compression
Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Publisher:Institute of Electrical and Electronics Engineers
Official URL:http://dx.doi.org/10.1109/ICASSP.2002.1004703
Copyright Information:Copyright © 2002 IEEE. Reprinted from ICASSP 2002 - International Conference on Acoustics, Speech and Signal Processing. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Dublin City University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Funders:EPSRC Hierarchical Video Indexing Project R01699/01
ID Code:247
Deposited On:06 Mar 2008 by DORAS Administrator. Last Modified 07 May 2010 12:14

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