孩子们的新电视世界——当ZUI遇到深度学习

Haohong Wang, Yaoyuan Fu, Yang Li, G. Ning, Zhihai He, Mengwen Liu
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引用次数: 0

摘要

在这项工作中,我们提出了一种新的可缩放用户界面(ZUI)在电视领域的应用。利用深度学习的最新进展,可以半自动地提取视频标题的视觉标签。通过创建级联的可视化标签树结构,将ZUI表示问题转化为选择标签以实现最少用户交互的优化问题。据我们所知,这是世界上首次在电视显示上采用ZUI,并通过优化的解决方案来实现最佳的用户体验。实验结果表明,本发明视觉丰富、直观、易用,深受儿童喜爱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New TV World for Kids - When ZUI Meets Deep Learning
In this work, we propose a novel application of Zoomable User Interface (ZUI) for TV world. With the utilization of latest advances of deep learning, visual tags of video titles can be semi-automatically extracted. By creating a cascaded visual tag tree structure, the ZUI representation problem is converted into an optimization problem of choosing tags to achieve the least user interactions. To the best of our knowledge, this is the world’s first effort in adopting ZUI on TV display with an optimized solution to achieve the best user experiences. Experimental results indicate that this invention is favored by kids, due to its nature of visual richness, intuitive, and user friendly.
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