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Graph."],"published-print":{"date-parts":[[2019,12,31]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.1145\/3355089.3356534","type":"journal-article","created":{"date-parts":[[2019,11,8]],"date-time":"2019-11-08T20:27:58Z","timestamp":1573244878000},"page":"1-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Colorblind-shareable videos by synthesizing temporal-coherent polynomial coefficients"],"prefix":"10.1145","volume":"38","author":[{"given":"Hu","family":"Xinghong","sequence":"first","affiliation":[{"name":"The Chinese University of Hong Kong"}]},{"given":"Liu","family":"Xueting","sequence":"additional","affiliation":[{"name":"Caritas Institute of Higher Education"}]},{"given":"Zhang","family":"Zhuming","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong"}]},{"given":"Xia","family":"Menghan","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong"}]},{"given":"Li","family":"Chengze","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong and Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}]},{"given":"Wong","family":"Tien-Tsin","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong and Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}]}],"member":"320","published-online":{"date-parts":[[2019,11,8]]},"reference":[{"volume-title":"Spectral Edge for displays. https:\/\/www.spectraledge.co.uk\/spectral-edge-for-displays7. 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