A Fast Gradient Iterative Affine Motion Estimation Algorithm Based on Edge Detection for Versatile Video Coding

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...

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Vydáno v:Electronics (Basel) Ročník 12; číslo 16; s. 3414
Hlavní autoři: Hong, Jingping, Dong, Zhihong, Zhang, Xue, Song, Nannan, Cao, Peng
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.08.2023
Témata:
Accuracy
Algorithms
Analysis
Coders
Coding
Coding standards
Complexity
Edge detection
Efficiency
Estimation theory
Fourier transforms
Image coding
Image processing
Iterative algorithms
Iterative methods
Mathematical optimization
Motion simulation
Resolution (Optics)
Signal to noise ratio
Video
Video compression
China
ISSN:2079-9292, 2079-9292
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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. The experimentalresults show that the encoding time of the affine motion estimation algorithm is about 15–35% lower than the overall encoding time of the anchor algorithm encoder, the average encoding time of the affine motion estimation part of the inter-frame prediction part is reduced by 24.79%, and the peak signal-to-noise ratio (PSNR) is only reduced by 0.04.
AbstractList 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. The experimentalresults show that the encoding time of the affine motion estimation algorithm is about 15–35% lower than the overall encoding time of the anchor algorithm encoder, the average encoding time of the affine motion estimation part of the inter-frame prediction part is reduced by 24.79%, and the peak signal-to-noise ratio (PSNR) is only reduced by 0.04.
Audience Academic
Author Song, Nannan
Dong, Zhihong
Zhang, Xue
Hong, Jingping
Cao, Peng
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CitedBy_id crossref_primary_10_1109_TCSVT_2024_3414422
crossref_primary_10_1016_j_jisa_2025_104212
crossref_primary_10_1007_s11554_024_01596_5
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SubjectTerms Accuracy
Algorithms
Analysis
Coders
Coding
Coding standards
Complexity
Edge detection
Efficiency
Estimation theory
Fourier transforms
Image coding
Image processing
Iterative algorithms
Iterative methods
Mathematical optimization
Motion simulation
Resolution (Optics)
Signal to noise ratio
Video
Video compression
Title A Fast Gradient Iterative Affine Motion Estimation Algorithm Based on Edge Detection for Versatile Video Coding
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