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Issue title: Special Section: Applications of intelligent & fuzzy theory in engineering technologies and applied science
Guest editors: Stanley Lima and Álvaro Rocha
Article type: Research Article
Authors: Gu, Deping; *
Affiliations: Department of Physical Education, Shanghai University of Financial and Economics, Shanghai, China
Correspondence: [*] Corresponding author. Deping Gu, Department of Physical Education, Shanghai University of Financial and Economics, Shanghai, China. E-mail: rklgrf@163.com.
Abstract: At this stage, the technical and tactical information acquisition technology has become the key factor to improve the performance of athletes. In this paper, “manual + automation” information collection method was selected. At the same time, in order to improve the speed of information collection, a kind of intelligent prompt automatic completion algorithm was designed and proposed. In the algorithm, the optimization algorithm was improved in view of the poor convergence in the original algorithm, and then the intelligent completion algorithm with more restrictive was further proposed. By collecting the standard document of dynamic standard information and embedding the basic video file, the algorithm was beneficial to the algorithm and automatic completion and intelligent prompt visual features in the video retrieval and analysis. In addition, in terms of technology, the video semantic description was carried out based on the AVI format, and the video retrieval and video analysis based on sports tactical competition were realized, thus providing complete technical support for coaches and athletes in scientific competitions, and improving the level of athletes’ skills and tactics.
Keywords: Intelligent algorithm, information acquisition, video retrieval
DOI: 10.3233/JIFS-169648
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2927-2936, 2018
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