Open Access

Hierarchical Keyframe-based Video Summarization Using QR-Decomposition and Modified -Means Clustering

EURASIP Journal on Advances in Signal Processing20102010:892124

Received: 20 May 2010

Accepted: 28 October 2010

Published: 2 November 2010


We propose a novel hierarchical keyframe-based video summarization system using QR-decomposition. Specially, we attend to the challenges of defining some measures to detect the dynamicity of a shot and video and extracting appropriate keyframes that assure the purity of video summary. We derive some efficient measures to compute the dynamicity of video shots using QR-decomposition, and we utilize it in detecting the number of keyframes that must be selected from each shot. Also, we derive a theorem that illustrates an important property of QR-decomposition. We utilize it in order to summarize video shots with low redundancy. The proposed algorithm is implemented and evaluated on TRECVID 2006 benchmark platform. Compared with other algorithms, our results are among the best.

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Authors’ Affiliations

Computer Engineering Department, Iran University of Science and Technology


© Ali Amiri and Mahmood Fathy. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.