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.
