Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos

Eman T. Hassan; Rakibul Hasan; Patrick Shaffer; David Crandall; Apu Kapadia; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2017, pp. 29-38

Abstract


We describe an object replacement approach whereby privacy-sensitive objects in videos are replaced by abstract cartoons taken from clip art. Our approach uses a combination of computer vision, deep learning, and image processing techniques to detect objects, abstract details, and replace them with cartoon clip art. We conducted a user study (N=85) to discern the utility and effectiveness of our cartoon replacement technique. The results suggest that our object replacement approach preserves a video's semantic content while improving its privacy by obscuring details of objects.

Related Material


[pdf]
[bibtex]
@InProceedings{Kapadia_2017_CVPR_Workshops,
author = {Hassan; Rakibul Hasan; Patrick Shaffer; David Crandall; Apu Kapadia, Eman T.},
title = {Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}