research-article

Look at Me! Correcting Eye Gaze in Live Video Communication

Authors:

Chin-Laung Lei,

Kuan-Ta ChenAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 15, Issue 2

Article No.: 38, Pages 1 - 21

https://doi.org/10.1145/3311784

Published: 05 June 2019 Publication History

Abstract

Although live video communication is widely used, it is generally less engaging than face-to-face communication because of limitations on social, emotional, and haptic feedback. Missing eye contact is one such problem caused by the physical deviation between the screen and camera on a device. Manipulating video frames to correct eye gaze is a solution to this problem. In this article, we introduce a system to rotate the eyeball of a local participant before the video frame is sent to the remote side. It adopts a warping-based convolutional neural network to relocate pixels in eye regions. To improve visual quality, we minimize the L2 distance between the ground truths and warped eyes. We also present several newly designed loss functions to help network training. These new loss functions are designed to preserve the shape of eye structures and minimize color changes around the periphery of eye regions. To evaluate the presented network and loss functions, we objectively and subjectively compared results generated by our system and the state-of-the-art, DeepWarp, in relation to two datasets. The experimental results demonstrated the effectiveness of our system. In addition, we showed that our system can perform eye-gaze correction in real time on a consumer-level laptop. Because of the quality and efficiency of the system, gaze correction by postprocessing through this system is a feasible solution to the problem of missing eye contact in video communication.

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Cited By

Liu FLi KZhong ZJia WHu BYang XWang MGuo D(2024)Depth Matters: Spatial Proximity-Based Gaze Cone Generation for Gaze Following in WildACM Transactions on Multimedia Computing, Communications, and Applications10.1145/368964320:11(1-24)Online publication date: 26-Aug-2024
https://dl.acm.org/doi/10.1145/3689643
Schuessler MHormann LDachselt RBlake ARother C(2024)Gazing Heads: Investigating Gaze Perception in Video-Mediated CommunicationACM Transactions on Computer-Human Interaction10.1145/366034331:3(1-31)Online publication date: 11-Jun-2024
https://dl.acm.org/doi/10.1145/3660343
Bisogni CNappi MTortora GDel Bimbo A(2024)Gaze analysisImage and Vision Computing10.1016/j.imavis.2024.104961144:COnline publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1016/j.imavis.2024.104961
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Index Terms

Look at Me! Correcting Eye Gaze in Live Video Communication
1. Computing methodologies

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Published In

cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 15, Issue 2

May 2019

375 pages

ISSN:1551-6857

EISSN:1551-6865

DOI:10.1145/3339884

Editor:
Alberto Del Bimbo
University of Firenze, Italy

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Copyright © 2019 ACM.

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Association for Computing Machinery

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Publication History

Published: 05 June 2019

Accepted: 01 February 2019

Revised: 01 January 2019

Received: 01 September 2018

Published in TOMM Volume 15, Issue 2

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Schuessler MHormann LDachselt RBlake ARother C(2024)Gazing Heads: Investigating Gaze Perception in Video-Mediated CommunicationACM Transactions on Computer-Human Interaction10.1145/366034331:3(1-31)Online publication date: 11-Jun-2024
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