JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2018, Vol. 53 ›› Issue (1): 19-29.doi: 10.6040/j.issn.1671-9352.2.2017.077

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Enhancing privacy for geographic information based on video analysis

KANG Hai-yan, HUANG Yu-xuan, CHEN Chu-qiao   

  1. School of Information Management, Beijing Information Science and Technology University, Beijing 100192, China
  • Received:2017-08-28 Online:2018-01-20 Published:2018-01-19

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Abstract: Video resources in social networks contain abundant geography information, which always cause severe security challenge to individual privacy. A method of enhancing privacy for geographic information based on video analysis(EP-VGI)is proposed with the analytical principle of sun shadow positioning and local image artifacts. To extract geographic information, we set up a model of sun shadow by observe the changing shadow in the video. We selected the natural projection shadow area by processing the video image sequence. By using the methods of adaptive mesh, we achieved our purpose to protect the geographic information and privacy protection. Experiments show the method can be successful to mislead the hacker by hiding geographic information, and ensure the videos availability at the same time by actual testing.

Key words: adaptive mesh, sun shadow positioning model, geographic information, privacy protection, least squares approximation

CLC Number: 

  • TP309
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