A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Privacy protection by concealing persons in circumstantial video image
Proceedings of the 2001 workshop on Perceptive user interfaces
Stealth Vision for Protecting Privacy
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Improved seam carving for video retargeting
ACM SIGGRAPH 2008 papers
Audio-visual privacy protection for video conference
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Modeling and Mining of Users' Capture Intention for Home Videos
IEEE Transactions on Multimedia
Extracting intentionally captured regions using point trajectories
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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The growing popularity of video sharing services such as YouTube enables us to upload and share consumer generated videos (CGVs) easily, resulting in disclosure of the privacy sensitive information (PSI) of persons, i.e., their appearances. Therefore, we need a technique for automatically protecting the privacy in CGVs; however, the main problem is how to determine PSI regions automatically. In this paper, we propose a novel system for automatically protecting the privacy in CGVs. The proposed system tackles the problem of determining PSI regions by using an intended human object detector that detects human objects which the camera person wanted to capture to achieve his/her capture intention. In addition, the proposed system adopts several PSI obscuring methods such as blocking out, blurring and seam carving. We present the results of subjective evaluations of a privacy protected video in terms of the visual quality and acceptability of PSI disclosure, as well as the performance of the intended human object detector.