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Empathy through Aesthetics: Using AI Stylization for Visual Anonymization of Interview Videos

Published: 26 June 2024 Publication History

Abstract

Faces are the primary source for identifying individuals, which need to be obstructed to achieve anonymization in images and videos. However, human faces are also one of the most important sources of emotional information, which can be lost during the standard anonymization techniques such as blacking out or blurring. The absence of the emotional signals from the face could have negative effects on the viewer in terms of the feeling of empathy towards the anonymized individual. In this paper, we present the use of AI-driven image stylization techniques as a solution for preserving the emotional facial cues in a video to evoke empathic behavior while ensuring anonymization. We show the effectiveness and shortcomings of our method by testing it against both standard anonymization and non-anonymized techniques. We conclude with next steps and future work to improve our technique.

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EmpathiCH '24: Proceedings of the 3rd Empathy-Centric Design Workshop: Scrutinizing Empathy Beyond the Individual
May 2024
75 pages
ISBN:9798400717888
DOI:10.1145/3661790
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 26 June 2024

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Author Tags

  1. AI stylization
  2. anonymization
  3. emotion recognition
  4. empathy
  5. face recognition
  6. privacy

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