A sensitive object-oriented approach to big surveillance data compression for social security applications in smart cities-Reference-Cited by-同舟云学术

A sensitive object-oriented approach to big surveillance data compression for social security applications in smart cities

Author:

Xiao Jing¹²,Wang Zhongyuan²³,Chen Yu²,Liao Liang²,Xiao Jun²,Zhan Gen²,Hu Ruimin²⁴

Affiliation:

1. State Key Laboratory of Software Engineering; Computer School of Wuhan University; China

2. National Engineering Research Center for Multimedia Software; Computer School of Wuhan University; China

3. Hubei Provincial Key Laboratory of Multimedia and Network Communication Engineering; Wuhan University; China

4. Collaborative Innovation Center of Geospatial Technology; China

Funder

National Nature Science Foundation of China

Fundamental Research Funds of State Key Laboratory of Software Engineering

Publisher

Wiley

Subject

Software

Link

Reference48 articles.

4. Saliency-aware video compression;Hadizadeh;IEEE Transactions on Image Processing,2014

5. Saliency Based perceptual HEVC;Li;IEEE International Conference on Multimedia and Expo Workshops,2014

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