ML Anthology

Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos

Eman T. Hassan, Rakibul Hasan, Patrick Shaffer, David J. Crandall, Apu Kapadia
CVPRW 2017 pp. 1333-1342
doi:10.1109/CVPRW.2017.175 /cvprw/2017/hassan2017cvprw-cartooning/

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.

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Cite

Text

Hassan et al. "Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2017. doi:10.1109/CVPRW.2017.175

Markdown

[Hassan et al. "Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2017.](https://mlanthology.org/cvprw/2017/hassan2017cvprw-cartooning/) doi:10.1109/CVPRW.2017.175

BibTeX

@inproceedings{hassan2017cvprw-cartooning,
  title     = {{Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos}},
  author    = {Hassan, Eman T. and Hasan, Rakibul and Shaffer, Patrick and Crandall, David J. and Kapadia, Apu},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2017},
  pages     = {1333-1342},
  doi       = {10.1109/CVPRW.2017.175},
  url       = {https://mlanthology.org/cvprw/2017/hassan2017cvprw-cartooning/}
}