Repeated Event Discovery from Image Sequences by Using Segmental Dynamic Time Warping: Experiment at the NTCIR-12 Lifelog Task

In this paper, we report on examining in applying of Spoken Term Discovery (STD) to lifelog images. STD is an approach to discover words which repeated in multiple speeches. We used an approach based on Dynamic Time Warping to discover patterns which are repeated in lifelog images. If this approach gives meaningful patterns, the results will be helpful information for lifelog researches (e.g. segmentation, clustering). We evaluated whether this approach extracts meaningful patterns. As a result, we found that it has potential for lifelog researches.