Please use this identifier to cite or link to this item:
Title: Colorblind-shareable videos by synthesizing temporal-coherent polynomial coefficients
Author(s): Liu, Xueting 
Author(s): Hu, X.
Zhang, Z.
Xia, M.
Li, C.
Wong, T.-T.
Issue Date: 2019
Publisher: Association for Computing Machinery
Journal: ACM Transactions on Graphics 
Volume: 38
Issue: 6
To share the same visual content between color vision deficiencies (CVD) and normal-vision people, attempts have been made to allocate the two visual experiences of a binocular display (wearing and not wearing glasses) to CVD and normal-vision audiences. However, existing approaches only work for still images. Although state-of-the-art temporal filtering techniques can be applied to smooth the per-frame generated content, they may fail to maintain the multiple binocular constraints needed in our applications, and even worse, sometimes introduce color inconsistency (same color regions map to different colors). In this paper, we propose to train a neural network to predict the temporal coherent polynomial coefficients in the domain of global color decomposition. This indirect formulation solves the color inconsistency problem. Our key challenge is to design a neural network to predict the temporal coherent coefficients, while maintaining all required binocular constraints. Our method is evaluated on various videos and all metrics confirm that it outperforms all existing solutions.
DOI: 10.1145/3355089.3356534
CIHE Affiliated Publication: Yes
Appears in Collections:CIS Publication

Files in This Item:
File Description SizeFormat
View Online88 BHTMLView/Open
SFX Query Show full item record

Google ScholarTM




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.