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Fast Anti-noise Compression Storage Algorithm for Big Data Video Images

Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 302)

Abstract

When calculating the traditional image compression storage algorithm, the key frames of the video image are mainly extracted by the video image feature. In the process of video image acquisition, the influence of factors such as light is detected, and the image features are changed, resulting in a large storage problem. A new anti-noise compression storage algorithm for big data video images is proposed. First, the collected big data video images are divided. The average value of the gray of the image sub-region is obtained, and then the compression process and the stored procedure are given. The actual working effect of the algorithm is verified by comparison with the traditional algorithm. The experimental results show that the improved algorithm is well stored and the error is small. The fast anti-noise compression storage method for the big data video images studied in this paper has a good storage effect, and its application range is wider and more worthy of promotion.

Keywords

Big data Video image Fast compression Anti-noise compression Storage algorithm 

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.South China Normal UniversityGuangzhouChina

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