Analysis of motion estimation algorithms in video

Subject Areas : journal of Artificial Intelligence in Electrical Engineering

Dadvar Hosseini ¹ (Department of Electrical Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran)
Mahdi Noshyar ² (Associate professor, Department of Electrical Engineering, University of Mohaghegh Ardabili,Ardabil, Iran)
Saeed Barghandan ³ (Department of Electrical Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran)
majid ghandchi ⁴ (Department of Electrical Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran)

Received: 2021-02-05 Accepted : 2021-05-15 Published : 2021-06-10

Keywords: Frame, motion estimation, Sequence, block matching, pixel,

Abstract :

One of the most time-consuming parts of video encoding is motion estimation. Motion estimation is an important part of video encoding that improves the amount and accuracy of compression by exploiting the temporal similarity between successive frames. This action is the main cause of maximum compression in the video, which imposes the minimum quality loss on the video. In order to be able to compensate the movement, it is necessary to first find the value of the movement direction, which is called movement estimation.By doing motion estimation, instead of sending repeated information at consecutive times, the difference between consecutive frames is encoded and sent in different ways. Generally, a motion estimator in video encoding includes fractional pixel motion estimation (FME) and integer pixel motion estimation (IME). The FME method provides better performance with the cost of computational complexity and estimation time on the encryption process.