Paper Title :Application of Fuzzy Inference System for Video Compression

Author :Upendra Kumar Srivastava, Rakesh Kumar Yadav

Article Citation :Upendra Kumar Srivastava ,Rakesh Kumar Yadav , (2021 ) " Application of Fuzzy Inference System for Video Compression " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 1-4, Volume-9,Issue-1

Abstract : Video compression efficiency and the compression quality are determined by the motion estimation algorithm, it is a compulsion to develop a fast motion estimation algorithm with low computational complexity as the efficiency of motion estimation algorithm is directly related to compression ratio , image quality of decoded video and coding speed .In this research paper a fuzzy inference system is introduced for the calculation of motion estimation. The individual frames are divided into blocks and the fuzzy membership function value is calculated for every macro block in the previous frame and current frame with the fuzzy inference system a minimum block distortion is selected and motion vectors are computed for the predicted frame. Keywords - Motion Estimation, Fuzzy Logic, Compression, Current Frame, Reference Frame.

Type : Research paper

Published : Volume-9,Issue-1

	|		PDF	|	Viewed - 80	|	Published on 2021-04-07