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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 Electrical Engineering Dept of Electronic and Electrical Engineering Research Papers |
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2438-4085.pdf | 2.84 MB | Adobe PDF | View/Open |
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