Privacy preserving: hiding a face in a face
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Compression independent reversible encryption for privacy in video surveillance
EURASIP Journal on Information Security - Special issue on enhancing privacy protection in multimedia systems
A systematic approach towards user-centric privacy and security for smart camera networks
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Privacy preserving video surveillance using pedestrian tracking mechanism
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
Video data hiding for managing privacy information in surveillance systems
EURASIP Journal on Information Security - Special issue on enhancing privacy protection in multimedia systems
Securing embedded smart cameras with trusted computing
EURASIP Journal on Wireless Communications and Networking - Special issue on security and resilience for smart devices and applications
Crowdsourcing approach for evaluation of privacy filters in video surveillance
Proceedings of the ACM multimedia 2012 workshop on Crowdsourcing for multimedia
Region of interest signalling for encrypted JPEG images
Proceedings of the first ACM workshop on Information hiding and multimedia security
Threat-based evaluation for context-aware multimedia surveillance system
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
| Hi-index | 0.00 |
Signifiicant research progress has been made in intelligent imaging systems, surveillance and biometrics improving robustness, increasing performance and decreasing cost. As a result, deployment of surveillance and intelligent video systems is booming and increasing the impact of these on privacy. For many, networked intelligent video systems, especially video surveillance and biometrics, epitomize the invasion of privacy by an Orwellian "big brother:. While tens of millions in government funding have been spent on research improving video surveillance, virtually none has been invested in technologies to enhance privacy or effectively balance privacy and security. This paper presents an example that demonstrates how using and adapting cryptographic ideas and combining them with intelligent video processing, technological pproaches can provide for solutions addressing these critical trade-offs, potentially improving both security and privacy. After reviewing previous research in privacy improving technology in video systems, the paper then presents cryptographically invertible obscuration. This is an application of encryption techniques to improve the privacy aspects while allowing general surveillance to continue and allowing full access (i.e. violation ofprivacy) only with use of a decryption key, maintained by a court or other thirdparty.