Abstract:
The video shot boundary detection (SBD) is a
region, where many practices and techniques have been
suggested and have requested to perform consistently on the
videos like talk shows, different sports events & news telecast.
Large videos like movies have a large amount of visual
material changing in random manner; it needs a highly
dynamic technique for automatic shot boundary detection.
The key goal of this research is to develop an adaptive &
strong algorithm for segmentation & classification of movie
videos. In this paper, we described a novel tactic for SBD.
which Is totally adaptive & changes the threshold value as per
the information variation. We have definite the new feature
which can uniquely define color as well as edge & frequency
details of a frame. It is able to detect not only abrupt
transitions like hard cuts but also special effects like wipes,
fades, and dissolves as well in different videos like movies.
