Annotating TV drama based on viewer dialogue - analysis of viewers' attention generated on an Internet bulletin board

The 2005 Symposium on Applications and the Internet Pub Date : 2005-01-31 DOI:10.1109/SAINT.2005.14

Hiroshi Uehara, K. Yoshida

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引用次数: 9

Abstract

The rapidly expanding capacity of local storage such as hard disk recorders is expected to create the need for a mechanism, which enables selective TV watching based on individual viewer's preference. We propose a method for creating the "Attention Graph", which depicts the amount of viewers' attention generated by TV drama. The Attention Graph, generated from the dialogues described in Internet communities concerning TV drama, is structured data mapped along the time line coincident with the progress of the drama's scenario. Thus, the Attention Graph assists in specifying noteworthy zones from complete TV programs and provides viewers with hints to watch selective scenes from their favorite TV drama. In general, dialogue from Internet communities is often expressed in poor grammatical manner, therefore natural language processing is difficult to apply. In an attempt to create the Attention Graph, we propose a statistical analysis of symbolic words to overcome this issue. The experimental results show that the Attention Graph successfully depicts the viewers' attention in TV drama, and indexes the zones of their attention.

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基于观众对话的电视剧注释——对某网络公告板上观众注意力的分析

随着硬盘录像机等本地存储容量的迅速扩大，预计将需要一种能够根据个人喜好选择性观看电视的机制。我们提出了一种创建“注意力图”的方法，它描绘了电视剧产生的观众注意力的数量。注意力图(Attention Graph)是根据网络社区中有关电视剧的对话生成的，它是一个结构化的数据，沿着时间线绘制，与电视剧情节的进展一致。因此，注意力图有助于从完整的电视节目中指定值得注意的区域，并为观众提供观看他们最喜欢的电视剧中的特定场景的提示。一般来说，来自网络社区的对话往往语法表达不佳，因此自然语言处理难以应用。在创建注意图的尝试中，我们提出了一个符号词的统计分析来克服这个问题。实验结果表明，注意图成功地描述了电视剧中观众的注意力，并对他们的注意力区域进行了索引。

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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The 2005 Symposium on Applications and the Internet

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