Hierarchical video summarization in reference subspace

Jiang, Richard, Sadka, Abdul and Crookes, Danny (2009) Hierarchical video summarization in reference subspace. IEEE Transactions on Consumer Electronics, 55 (3). pp. 1551-1557. ISSN 0098-3063

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Official URL: http://dx.doi.org/10.1109/TCE.2009.5278026

Abstract

In this paper, a hierarchical video structure summarization approach using Laplacian Eigenmap is proposed, where a small set of reference frames is selected from the video sequence to form a reference subspace to measure the dissimilarity between two arbitrary frames. In the proposed summarization scheme, the shot-level key frames are first detected from the continuity of inter-frame dissimilarity, and the sub-shot level and scene level representative frames are then summarized by using k-mean clustering. The experiment is carried on both test videos and movies, and the results show that in comparison with a similar approach using latent semantic analysis, the proposed approach using Laplacian Eigenmap can achieve a better recall rate in keyframe detection, and gives an efficient hierarchical summarization at sub shot, shot and scene levels subsequently.

Item Type: Article
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Ellen Cole
Date Deposited: 07 May 2013 08:02
Last Modified: 10 Aug 2015 11:27
URI: http://nrl.northumbria.ac.uk/id/eprint/12483

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