Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/4085
Title: Hierarchical video summarisation in reference frame subspace
Authors: Jiang, RM
Sadka, AH
Crookes, D
Keywords: Video summarisation
Issue Date: 2009
Publisher: IEEE
Citation: IEEE Transactions on Consumer Electronics 55(3): 1551-1557, Aug 2009
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.
URI: http://bura.brunel.ac.uk/handle/2438/4085
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Research Papers

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