Title: The adaptive key frames extraction method based on representativeness and independence features

Authors: Wenbin Xie; Zhen Zhang; Yuefei Wang; Yuanyuan Zhang; Liucun Zhu

Addresses: Advanced Science and Technology Research Institute, Beibu Gulf University, Qinzhou 535011, China ' Advanced Science and Technology Research Institute, Beibu Gulf University, Qinzhou 535011, China ' Advanced Science and Technology Research Institute, Beibu Gulf University, Qinzhou 535011, China ' Advanced Science and Technology Research Institute, Beibu Gulf University, Qinzhou 535011, China ' Advanced Science and Technology Research Institute, Beibu Gulf University, Qinzhou 535011, China

Abstract: For the existing traditional method to extract key frames from the video sequence with gradual change of content, there are problems of having too much redundancy or too much loss in the extraction results and other issues, a new key frames extracting method for adaptively extracting the video key frames has proposed in the paper. The experimental results have shown that the proposed method can effectively extract video key frames, especially for the video with gradual change of content, which can express more succinctly and comprehensively. The experiments on a large number of videos containing various scenes have shown that the key frames extracted by the proposed algorithm can more fully express the main content of video. When dealing with content gradient video, the effect is better. The content adaptively determines the number of key frames based on video.

Keywords: representativeness feature; independence feature; adaptive key frame; video sequence; SURF feature.

DOI: 10.1504/IJICT.2020.107586

International Journal of Information and Communication Technology, 2020 Vol.16 No.4, pp.312 - 324

Received: 10 Apr 2019
Accepted: 23 May 2019

Published online: 30 Mar 2020 *

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