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Extraction and Mining of Video Feature in Sport Videos

Volume 14, Number 5, May 2018, pp. 1069-1077
DOI: 10.23940/ijpe.18.05.p26.10691077

Yang Han

Sports Department of Heilongjiang University, Harbin, 150080, China

(Submitted on February 1, 2018; Revised on March 19, 2018; Accepted on April 27, 2018)

Abstract:

On the basis of analyzing the characteristics of sports video, the parameters of the feature generation are adjusted. According to the sports video library, three features of SD-VLAD (Soft Distribution-Vectors of Locally Aggregated Descriptors), BOC (Bag of Color) and shot type were selected as the description information of the image; the appropriate parameters were selected through experiments; the best parameter configuration for soccer video library was given. In order to detect the influence of parameters in SD-VLAD and BOC descriptors on the recognition effect of descriptors, and select the appropriate parameters, the experiment was carried out in part of the library of search web, and the experimental results were analyzed.

 

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