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ReSPonSe: Real-time, Secure, and Privacy-aware Video Redaction System

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Published:05 November 2018Publication History

ABSTRACT

Nowadays the camera has developed into an indispensable and ubiquitous part of our life. It ensures the safety of people and their belongings, keeps records of special moments, or logs daily life. However, the ever-increasing amount of cameras surrounding us raised privacy concerns among people, who find themselves easily captured by a camera without themselves acknowledging it. To make matters worse, cameras, especially those on smart phones, are now more pervasive than ever before and can hardly be regulated as the recorders have full control of their cameras. Motivated by the privacy challenges originated from the ever-increasing and wide-spreading cameras, this paper presents the Real-time, Secure, and Privacy-aware Video Redaction System (ReSPonSe), which aims at protecting private information in personal videos according to permissions of people-in-video for other viewers to view them in the video. This system innovatively separates the production of videos into two stages: Encapsulation and Decapsulation. The first stage produces neutral videos in real-time while the second stage provides privacy-aware video to the viewer revealing private content of people-in-video who grants access rights to that viewer. The evaluation demonstrates the capability of this system to protect private information in videos with high efficiency and accuracy.

References

  1. Brandon Amos, Bartosz Ludwiczuk, and Mahadev Satyanarayanan. 2016. Open-Face: A general-purpose face recognition library with mobile applications. Technical Report. CMU-CS-16-118, CMU School of Computer Science.Google ScholarGoogle Scholar
  2. Joan Daemen and Vincent Rijmen. 2013. The design of Rijndael: AES-the advanced encryption standard. Springer Science & Business Media. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Carsten Griwodz, Oliver Merkel, Jana Dittmann, and Ralf Steinmetz. 1998. Protecting VoD the easier way. In Proceedings of the sixth ACM international conference on Multimedia. ACM, 21--28. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Vasif Nabiyev and Asuman Günay. 2008. Towards a biometric purpose image filter according to skin detection. In Proceedings of the second international conference on problems of cybernetics and informatics.Google ScholarGoogle Scholar
  5. Pexels. 2017. Free stock photos Âů Pexels. https://www.pexels.com/Google ScholarGoogle Scholar
  6. Jeremy Schiff, Marci Meingast, Deirdre K Mulligan, Shankar Sastry, and Ken Goldberg. 2007. Respectful cameras: Detecting visual markers in real-time to address privacy concerns. In Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on. IEEE, 971--978.Google ScholarGoogle ScholarCross RefCross Ref
  7. Andrew Senior, Sharath Pankanti, Arun Hampapur, Lisa Brown, Ying-Li Tian, Ahmet Ekin, Jonathan Connell, Chiao Fe Shu, and Max Lu. 2005. Enabling video privacy through computer vision. IEEE Security & Privacy 3, 3 (2005), 50--57. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Jiayu Shu, Rui Zheng, and Pan Hui. 2016. Cardea: Context-aware visual privacy protection from pervasive cameras. arXiv preprint arXiv:1610.00889 (2016).Google ScholarGoogle Scholar
  9. Ralf Steinmetz and Klara Nahrstedt. 2013. Multimedia systems. Springer Science & Business Media. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Andreas Uhl and Andreas Pommer. 2004. Image and video encryption: from digital rights management to secured personal communication. Vol. 15. Springer Science & Business Media.Google ScholarGoogle Scholar
  11. Videezy. 2017. Videezy. https://www.videezy.com/Google ScholarGoogle Scholar
  12. Videvo. 2017. Free Stock Video Footage HD & 4K Clips Royalty-Free Videos. https://www.videvo.net/Google ScholarGoogle Scholar
  13. Junjue Wang, Brandon Amos, Anupam Das, Padmanabhan Pillai, Norman Sadeh, and Mahadev Satyanarayanan. 2017. A Scalable and Privacy-Aware IoT Service for Live Video Analytics. In Proceedings of the 8th ACM on Multimedia Systems Conference. ACM, 38--49. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Jehan Wickramasuriya, Mahesh Datt, Sharad Mehrotra, and Nalini Venkatasubramanian. 2004. Privacy protecting data collection in media spaces. In Proceedings of the 12th annual ACM international conference on Multimedia. ACM, 48--55. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Other conferences
      MobiQuitous '18: Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
      November 2018
      490 pages
      ISBN:9781450360937
      DOI:10.1145/3286978

      Copyright © 2018 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 5 November 2018

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      Overall Acceptance Rate26of87submissions,30%

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