Hierarchical video summarization in reference subspace

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

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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:
Journal Article
Journal or Publication Title:
IEEE Transactions on Consumer Electronics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200/2208
Subjects:
ID Code:
134718
Deposited By:
Deposited On:
22 Jun 2019 09:17
Refereed?:
Yes
Published?:
Published
Last Modified:
12 Aug 2020 09:09