Practical experience recording and indexing of Life Log video

Abstract

This paper presents an experience recording system and proposes practical video retrieval techniques based on Life Log content and context analysis. We summarize our effective indexing methods including content based talking scene detection and context based key frame extraction based on GPS data. The voice annotation and detection is proposed for practical indexing method. Moreover, we apply an additional body sensor to record our life style and analyze human's physiological data for Life Log retrieval system. In the experiments, we demonstrated various video indexing results which provided their semantic key frames and Life Log interfaces to retrieve and index our life experiences effectively.