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Estimation of salient regions in an input video is an active area of research due to its wide applications. In this paper, we propose a novel algorithm to estimate the eye gaze movement in a video using motion, color and structural cues with minimum outliers. The algorithm is generalized to capture salient information for the videos taken under different camera motions. The entire algorithm is parallelizable...
Denoising a video data is one of the well-known problems in the field of video processing. The problem is still drags focus of researchers due to its relevance in data transmission, video display and other machine vision applications. Though, several algorithms are proposed for denoising a video, most of them denoise it frame by frame considering the spatial information present in a scene. The algorithms,...
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