Hong, J.; Dong, Z.; Zhang, X.; Song, N.; Cao, P. A Fast Gradient Iterative Affine Motion Estimation Algorithm Based on Edge Detection for Versatile Video Coding. Electronics2023, 12, 3414.
Hong, J.; Dong, Z.; Zhang, X.; Song, N.; Cao, P. A Fast Gradient Iterative Affine Motion Estimation Algorithm Based on Edge Detection for Versatile Video Coding. Electronics 2023, 12, 3414.
Hong, J.; Dong, Z.; Zhang, X.; Song, N.; Cao, P. A Fast Gradient Iterative Affine Motion Estimation Algorithm Based on Edge Detection for Versatile Video Coding. Electronics2023, 12, 3414.
Hong, J.; Dong, Z.; Zhang, X.; Song, N.; Cao, P. A Fast Gradient Iterative Affine Motion Estimation Algorithm Based on Edge Detection for Versatile Video Coding. Electronics 2023, 12, 3414.
Abstract
In the Versatile Video Coding (VVC) standard, affine motion models have been applied to enhance the resolution of complex motion patterns. However, due to the high computational complexity involved in affine motion estimation, real-time video processing applications face significant challenges. This paper focuses on optimizing affine motion estimation algorithms in the VVC environment and proposes a fast gradient iterative algorithm based on edge detection for efficient computation. Firstly, we establish judging conditions during the construction of affine motion candidate lists to streamline the redundant judging process. Secondly, we employ the Canny edge detection method for gradient assessment in the affine motion estimation process, thereby enhancing the iteration speed of affine motion vectors. Experimental results demonstrate that our affine motion estimation algorithm reduces encoding time by approximately 15%-35% while maintaining video bitrate and quality.
Keywords
versatile video coding; inter-prediction; affine motion estimation; edge detection
Subject
Computer Science and Mathematics, Computer Vision and Graphics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
