个性化电视节目推荐的兴趣水平估计

2013 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2013-03-28 DOI:10.1109/ICCE.2013.6487066

S. Clippingdale, Makoto Okuda, Masaki Takahashi, M. Naemura, Mahito Fujii

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引用次数: 5

摘要

我们描述了一个原型系统，它分析安装在电视接收器或机顶盒上的摄像机的视频，显示观看电视的观众。该系统识别注册观众的面孔，并估计每个观众对正在观看的节目的兴趣程度。这些信息，连同接收器的操作历史，可以用来建立观众档案，并提供个性化的节目建议，反映每个观众的感知兴趣。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Level-of-interest estimation for personalized TV program recommendation

We describe a prototype system that analyzes video from a camera mounted on a TV receiver or set-top-box, showing viewers watching the TV. The system recognizes the faces of registered viewers, and estimates the level of interest that each viewer displays in the program being viewed. This information, along with receiver operation history, can be used to build viewer profiles and to offer personalized program recommendations reflecting each viewer's perceived interests.

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来源期刊

2013 IEEE International Conference on Consumer Electronics (ICCE)

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