A survey on privacy preservation in video big data

Abstract

The explosive growth of video data application raises the risk of privacy leaks in the video big data environment. Compared with other data formats, video big data presents special characteristics including various representation, high dimension, complex content, and so on, making the privacy protection for video big data more difficult. This paper analyzes the life cycle and overall architecture of video big data, and then discusses the privacy preservation method recently developed for video applications. These methods are categorized into three types: privacy preservation method for video storage, for video analysis, and for video release. Via analyzing their application scenarios and technique concepts, we finally come to a conclusion about their advantages, disadvantages, and possible applications, and present several research issues for video big data privacy preservation.