An enhanced content selection mechanism for personalization of video news programmes

摘要

In this paper, we propose a content selection framework that improves the users' experience when they are enriching or authoring pieces of news. This framework combines a variety of techniques to retrieve semantically related videos, based on a set of criteria which are specified automatically depending on the media's constraints. The combination of different content selection mechanisms can improve the quality of the retrieved scenes, because each technique's limitations are minimized by other techniques' strengths. We present an evaluation based on a number of experiments, which show that the retrieved results are better when all criteria are used at time.