VIDEO FOOTAGE RETRIEVAL SYSTEM USING FEATURE PROFILE ANALYSIS ON TIME AXIS
Keywords:
CBVR, wavelet coefficient, GLCM, EntropyAbstract
The video footage retrieval is normally done by using the contents like shape, color or personal personality etc in most of the cases considered so far. However, the existing video retrieval system suffers from the drawback of retrieving the video based on the undefined activity observed in video sequence. This can also be stated in a way that the existing system cannot judge by themselves whether the activity in a video is abnormal or normal. This kind of self detecting mechanism is proposed in the presented work and can be termed as adaptive system of frame feature detection based on video footage retrieval system. The proposed concept may be a time consuming from the computational point of view. The reduction of computation time and image itself as a content for image retrieval has been proposed in the presented work to work on