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Automated rich presentation of a semantic topic

To have a rich presentation of a topic, it is not only expected that many relevant multimodal information, including images, text, audio and video, could be extracted; it is also important to organize and summarize the related information, and provide users a concise and informative storyboard about the target topic. It facilitates users to quickly grasp and better understand the content of a topic. In this paper, we present a novel approach to automatically generating a rich presentation of a given semantic topic. In our proposed approach, the related multimodal information of a given topic is first extracted from available multimedia databases or websites. Since each topic usually contains multiple events, a text-based event clustering algorithm is then performed with a generative model. Other media information, such as the representative images, possibly available video clips and flashes (interactive animates), are associated with each related event. A storyboard of the target topic is thus generated by integrating each event and its corresponding multimodal information. Finally, to make the storyboard more expressive and attractive, an incidental music is chosen as background and is aligned with the storyboard. A user study indicates that the presented system works quite well on our testing examples.