Abstract
Saliency Detection is very important for image and video processing application. This paper presents Saliency Detection for video processing. The sample video is converted in the form of Frames. Now Saliency algorithm is apply to the frames of images to filter the background from the video frames. The frames are filter in four parts, first the Hyper Complex Form algorithm is apply to separate the R, G & B color form the image. In second part Gaussian filter is apply to smooth the image. In third part Binary filter is apply to filter the noise factor from the images. In last again Gaussian filter apply to filter the image for smoothness. The output of the paper gives the compressed and reduced background video frame. The experimental result clearly justifies our model.
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