Privacy Protection for Social Video via Background Estimation and CRF-Based Videographer's Intention Modeling-Reference-Cited by-同舟云学术

Privacy Protection for Social Video via Background Estimation and CRF-Based Videographer's Intention Modeling

Published:2016 Issue:4 Volume:E99.D Page:1221-1233
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

NAKASHIMA Yuta¹,BABAGUCHI Noboru²,FAN Jianping³

Affiliation:

1. Graduate School of Information Science, Nara Institute of Science and Technology

2. Graduate School of Engineering, Osaka University

3. Department of Information Science, University of North Carolina

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E99.D/4/E99.D_2015EDP7378/_pdf

Reference32 articles.

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3. [3] F. Dufaux and T. Ebrahimi, “Scrambling for privacy protection in video surveillance systems,” IEEE Trans. Circuits and Systems for Video Technology, vol.18, no.8, pp.1168-1174, 2008.

4. [4] K. Chinomi, N. Nitta, Y. Ito, and N. Babaguchi, “PriSurv: privacy protected video surveillance system using adaptive visual abstraction,” Advances in Multimedia Modeling, Lecture Notes in Computer Science, vol.4903, pp.144-154, 2008.

5. [5] A. Frome, G. Cheung, A. Abdulkader, M. Zennaro, B. Wu, A. Bissacco, H. Adam, H. Neven, and L. Vincent, “Large-scale privacy protection in google street view,” Proc. Int'l Conf. Computer Vision, pp.2373-2380, 2009.

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