An affine motion compensation framework for high efficiency video coding

Li, Li; Li, Houqiang; Lv, Zhuoyi; Yang, Haitao

doi:10.1109/iscas.2015.7168686

Cited by 23 publications

(6 citation statements)

References 7 publications

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“…7 that the performance improvement mainly comes from the bitrate reduction instead of Y-PSNR improvement. Besides, we can also see that the entire framework presents ignorable R-D performance losses compared with the "AMM and AAMVP" (without fast MC coding tools) in the figure . 8) The performance of the entire framework on the affine test sequences compared with the previous work: We also compare the entire framework with our previous work [11] to demonstrate the effectiveness of the proposed algorithm in this paper. Table VII gives the detailed experimental results of our previous work on the affine test sequences.…”

Section: B Performancementioning

confidence: 98%

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An Efficient Four-Parameter Affine Motion Model for Video Coding

Li¹,

Li²,

Liu³

et al. 2017

Preprint

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In this paper, we study a simplified affine motion model based coding framework to overcome the limitation of translational motion model and maintain low computational complexity. The proposed framework mainly has three key contributions. First, we propose to reduce the number of affine motion parameters from 6 to 4. The proposed four-parameter affine motion model can not only handle most of the complex motions in natural videos but also save the bits for two parameters. Second, to efficiently encode the affine motion parameters, we propose two motion prediction modes, i.e., advanced affine motion vector prediction combined with a gradient-based fast affine motion estimation algorithm and affine model merge, where the latter attempts to reuse the affine motion parameters (instead of the motion vectors) of neighboring blocks. Third, we propose two fast affine motion compensation algorithms. One is the one-step sub-pixel interpolation, which reduces the computations of each interpolation. The other is the interpolationprecision-based adaptive block size motion compensation, which performs motion compensation at the block level rather than the pixel level to reduce the interpolation times. Our proposed techniques have been implemented based on the state-of-theart high efficiency video coding standard, and the experimental results show that the proposed techniques altogether achieve on average 11.1% and 19.3% bits saving for random access and low delay configurations, respectively, on typical video sequences that have rich rotation or zooming motions. Meanwhile, the computational complexity increases of both encoder and decoder are within an acceptable range.

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Section: B Performancementioning

confidence: 98%

“…The proposed fast affine ME algorithm iteratively updates the two MVs of a block according to gradient descent. It was originally proposed for the six-parameter affine motion model in our previous work [11], and extended for the four-parameter model herein.…”

Section: Introduction Motion Estimation (Me) and Motion Compensation ...mentioning

confidence: 99%

An Efficient Four-Parameter Affine Motion Model for Video Coding

Li¹,

Li²,

Liu³

et al. 2017

Preprint

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“…[152] found that the affine motion model was more suitable for large blocks in HEVC. A fast gradient based affine ME scheme was proposed to decrease the encoder complexity [153]. Huang [154] extended the work in [150] for HEVC and designed the affine skip/direct mode to improve the coding efficiency.…”

Section: (1) Global Affine Motion Modelsmentioning

confidence: 99%

Recent Advances on HEVC Inter-Frame Coding: From Optimization to Implementation and Beyond

Zhang

Fan

et al. 2020

IEEE Trans. Circuits Syst. Video Technol.

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High Efficiency Video Coding (HEVC) has doubled the video compression ratio with equivalent subjective quality as compared to its predecessor H.264/AVC. The significant coding efficiency improvement is attributed to many new techniques. Interframe coding is one of the most powerful yet complicated techniques therein and has posed high computational burden thus main obstacle in HEVC-based real-time applications. Recently, plenty of research has been done to optimize the inter-frame coding, either to reduce the complexity for real-time applications, or to further enhance the encoding efficiency. In this paper, we provide a comprehensive review of the state-of-the-art techniques for HEVC inter-frame coding from three aspects, namely fast inter coding solutions, implementation on different hardware platforms as well as advanced inter coding techniques. More specifically, different algorithms in each aspect are further subdivided into sub-categories and compared in terms of pros, cons, coding efficiency and coding complexity. To the best of our knowledge, this is the first such comprehensive review of the recent advances of the inter-frame coding for HEVC and hopefully it would help the improvement, implementation and applications of HEVC as well as the ongoing development of the next generation video coding standard.

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“…Studies of affine motion compensation (AMC) have always been a subject, while many former studies have tried to embed the affine motion model into the frame of AMC [5], but the proposals had never been adopted prior to VVC. The impediments are as follows [6]: 1.…”

Section: Introductionmentioning

confidence: 99%

An Improved Fast Affine Motion Estimation Based on Edge Detection Algorithm for VVC

Ren

Cui

2020

Symmetry

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As a newly proposed video coding standard, Versatile Video Coding (VVC) has adopted some revolutionary techniques compared to High Efficiency Video Coding (HEVC). The multiple-mode affine motion compensation (MM-AMC) adopted by VVC saves approximately 15%-25% Bjøntegaard Delta Bitrate (BD-BR), with an inevitable increase of encoding time. This paper gives an overview of both the 4-parameter affine motion model and the 6-parameter affine motion model, analyzes their performances, and proposes improved algorithms according to the symmetry of iterative gradient descent for fast affine motion estimation. Finally, the proposed algorithms and symmetric MM-AMC flame of VTM-7.0 are compared. The results show that the proposed algorithms save 6.65% total encoding time on average, which saves approximately 30% encoding time of affine motion compensation.

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An affine motion compensation framework for high efficiency video coding

Cited by 23 publications

References 7 publications

An Efficient Four-Parameter Affine Motion Model for Video Coding

An Efficient Four-Parameter Affine Motion Model for Video Coding

Recent Advances on HEVC Inter-Frame Coding: From Optimization to Implementation and Beyond

An Improved Fast Affine Motion Estimation Based on Edge Detection Algorithm for VVC

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