Temporal video segmentation for real-time key frame extraction
Calic, J, Sav, S, Izquierdo, E, Marlow, S, Murphy, N and O'Connor, A (2002) Temporal video segmentation for real-time key frame extraction In: ICASSP 2002, 2002-05-13 - 2002-05-17, Orlando, USA.
Available under License : See the attached licence file.
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)|
|Additional Information:||Copyright 2002 IEEE. 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 to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Uncontrolled Keywords:||browsing systems, content-based retrieval, real-time key frame extraction, image sequences, reference frame, information content summarization, image retrieval, information content browsing, MPEG compressed video, feature extraction, temporal video segmentation, retrieval systems, temporal distribution, video content segmentation, image segmentation, information content searching, data compression, video coding, prediction reference, video databases, media coverage|
|Divisions:||Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing|
|Depositing User:||Symplectic Elements|
|Date Deposited:||11 May 2012 13:57|
|Last Modified:||23 Sep 2013 19:25|
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