Title: Feature extraction method of multi-frame image in cloud video

Authors: Siyuan Cheng; Shouren Diao; Shuo Cai; Hongyan Liu

Addresses: State Grid Hebei Information and Communications Technology Company, Shijiazhuang, 050022, China ' State Grid Hebei Information and Communications Technology Company, Shijiazhuang, 050022, China ' State Grid Hebei Information and Communications Technology Company, Shijiazhuang, 050022, China ' State Grid Hebei Information and Communications Technology Company, Shijiazhuang, 050022, China

Abstract: In order to solve the problem of low detection and recognition ability of multi frame images in cloud video, a feature extraction method of multi frame images in cloud video is proposed in this paper. The image region information distribution structure model of multi frame images in cloud video is established, and the image edge gradient information detection method is used to detect the features of multi frame images and pixel information fusion in cloud video. According to the region information of the image, the edge contour feature detection model of multi frame image in cloud video is established, and the edge gradient information of multi frame video image is segmented and reconstructed by active contour detection method. Simulation results show that the method has high accuracy and high degree of information fusion, and improves the ability of video image detection and adaptive recognition.

Keywords: cloud video; multi-frame image; feature extraction; detection and recognition.

DOI: 10.1504/IJICT.2022.120633

International Journal of Information and Communication Technology, 2022 Vol.20 No.2, pp.151 - 163

Received: 20 May 2020
Accepted: 06 Aug 2020
Published online: 31 Jan 2022 *

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