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.
