Motion Histogram Analysis Based Key Frame Extraction for Human Action/Activity Representation

Shao, Ling and Ji, Ling (2009) Motion Histogram Analysis Based Key Frame Extraction for Human Action/Activity Representation. In: CRV '09 - Canadian Conference on Computer and Robot Vision, 25th - 27th May 2009, Kelowna, British Columbia.

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Official URL: http://dx.doi.org/10.1109/CRV.2009.36

Abstract

Key frame extraction is an important technique in video summarization, browsing, searching, and understanding. In this paper, a novel algorithm for key frame extraction based on intra-frame and inter-frame motion histogram analysis is proposed. The extracted key frames contain complex motion and are salient in respect to their neighboring frames, and can be used to represent actions and activities in video. The key frames are first initialized by finding peaks in the curve of entropy calculated on motion histograms in each video frame. The peaked entropies are then weighted by inter-frame saliency which we use histogram intersection to output final key frames. The effectiveness of the proposed method is validated by a large variety of real-life videos.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Key frame extraction, action recognition, entropy, histogram intersection, motion histogram, optical flow
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Paul Burns
Date Deposited: 22 Jun 2015 13:44
Last Modified: 10 Aug 2015 11:26
URI: http://nrl.northumbria.ac.uk/id/eprint/23054

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