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Many algorithms for video stabilization have been proposed so far. However, not many digital video stabilization procedures for endoscopic videos are discussed. Endoscopic videos contain immense shakes and distortions as a result of some internal factors like body movements or secretion of body fluids as well as external factors like manual handling of(More)
Hitherto video stabilization algorithms for different types of videos have been proposed. Our work majorly focuses on developing stabilization algorithms for endoscopic videos which include distortions peculiar to endoscopy. In this paper, we deal with the optimization of the motion detection procedure which is the most important step in the development of(More)
Many-objective optimization is steadily gaining importance in the field of automated drug design involving simultaneous optimization of several physiochemical and biological properties. Pareto-based MOEAs slow down in convergence as the classification of the solutions' quality according to the Pareto dominance principle becomes increasingly undifferentiated(More)