Cloud Storage Research on Supervisory Video Heat Based on K-means

doi:10.3969/j.issn.1006-2475.2016.06.003

Abstract

Abstract: Through the analysis of Hadoop video storage structure, the article comes up with an intelligent double Hadoop cluster storage architecture. The algorithm predicts the supervisory video heat based on k-means, and according to the features of safe city adjusts the number of backups. As the result, this method can increase the use ratio of facilities, accelerate the speed of document retrieval and intelligence analysis.
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Key words: video surveillance, heat, intelligence, cloud storage

CLC Number:

TP311.13

ZHANG Chao1,2, GUO Hui-ming2, ZHANG Hong2. Cloud Storage Research on Supervisory Video Heat Based on K-means[J]. Computer and Modernization, 2016, 0(6): 12-15.

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