Conventional video shot segmentation to semantic shot segmentation

Abstract

Video shot segmentation is a preliminary process used in video content analysis which requires for content description. Conventional shot segmentation techniques nourished with statistical approaches depend on chromatic distributions of video frames. However, these conventional approaches lagging behind in performing semantic shot segmentation where more intuitive and perceptive for human understanding and search. This paper presents a novel mechanism which capable of perform semantic shot segmentation without additional computational and description cost for semantic video content depiction process. This mechanism bypasses the traditional video shot segmentation which is normally performs at the beginning of video content depiction and instead it perform meaningful shot boundary identification at the end based on the results of video visual concept classification. This is a positive starting point to perform structuring of video content using semantic units of shots rather than abrupt discontinued shots. Further, this paper introduces a search mechanism empowered by semantic shot segmentation.