Comparison of Different Motion Estimation Algorithms in Video Compression

Abstract

Everything that can be watched on a screen uses video coding which tends to reduce the amount of redundant video data in video compression. The idea behind video compression based on motion estimation is to save number of bits required for encoding the video. Many studies developed algorithms for storing, transmission and reducing complexity without affecting the visual quality. The more precise motion estimation results can obtain the more accurate compression technique. Actually, Motion Estimation not only can use in video compression, but also can deeply effective in different video processing applications as intelligent video surveillance, video content analysis, and video retrieval. In this paper, different Motion Estimation algorithms are described with related results which can lead to obtain effective ME algorithm.