Background::
In the internet era, there is a prime need to access and manage the huge
volume of multimedia data in an effective manner. Shot is a sequence of frames captured by a single
camera in an uninterrupted space and time. Shot detection is suitable for various applications such
that video browsing, video indexing, content based video retrieval and video summarization.
Objective::
To detect the shot transitions in the video within a short duration. It compares the visual
features of frames like correlation, histogram and texture features only in the candidate region
frames instead of comparing the full frames in the video file.
Methods:
This paper analyses candidate frames by searching the values of frame features which
matches with the abrupt detector followed by the correct cut transition frame with in the datacube
recursively until it detects the correct transition frame. If they are matched with the gradual detector,
then it will give the gradual transition ranges, otherwise the algorithm will compare the frames within
the next datacube to detect shot transition.
Results::
The total average detection rates of all transitions computed in the proposed Data-cube
Search Based Shot Boundary Detection technique are 92.06 for precision, 96.92 for recall and 93.94
for f1 measure and the maximum accurate detection rate.
Conclusion::
Proposed method for shot transitions uses correlation value for searching procedure
with less computation time than the existing methods which compares every single frame and uses
multi features such as color, edge, motion and texture features in wavelet domain.
A Slow-Motion Detecting Algorithm using High Order Statistic Approach