Automatic generation of matter-of-opinion video documentaries
Journal of Web Semantics(2008)
摘要
In this paper we describe a model for automatically generating video documentaries. This allows viewers to specify the subject and the point of view of the documentary to be generated. The domain is matter-of-opinion documentaries based on interviews. The model combines rhetorical presentation patterns used by documentary makers with a data-driven approach. Rhetorical presentation patterns provide the viewer with an engaging viewing experience, while a data-driven approach can be applied to growing media repositories. To date, the modeling of rhetoric has been achieved in a top-down manner using closed repositories, while data-driven generation approaches were unable to implement non-trivial rhetorical presentation patterns. We describe an implementation of our model in a system, Vox Populi, and apply it to an online documentary shot by a group of independent amateur documentarists.
更多查看译文
关键词
online documentary shot,matter-of-opinion documentary,rhetorical presentation pattern,documentary maker,data-driven generation approach,automatic generation,closed repository,video documentary,matter-of-opinion video documentary,vox populi,video editing,semantic media annotations,user-specified point-of-view,data-driven approach,documentary rhetoric,toulmin-based argumentation,non-trivial rhetorical presentation pattern,top down
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要