Exploiting Topic Thread Structures in a News Video Archive for the Semi-Automatic Generation of Video Summaries

We propose a method that semi-automatically composes video stories by connecting individual stories in a news video archive along a topic-based semantic structure, namely the topic thread. We introduce the methods to realize the composition, namely, story segmentation, topic threading and clustering. We then evaluate the proposed approach based on preliminary tests. Since the thread structure reflects the development of topics in the real-world, we believe that the composed news video story should be effective for the user to gain a deeper understanding of the current topic of interest