SIMD acceleration for HEVC encoding on DSP

Zhang, Yongfei; Fan, Rui; Zhang, Chao; Wang, Gang; Li, Zhe

doi:10.1109/apsipa.2017.8282310

Cited by 7 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[124] proposed a DSP-based HEVC encoder, which focuses on simplifying mode decision process to decrease the complexity and uses SIMD and data-level parallelism to optimize SAD/SSE on single core DSP TMS320C6678. In our earlier research [125], we also used the powerful SIMD instructions to improve the parallel capacity of core time-consuming coding modules in HEVC. In [126], Sun introduced a Markov Chain model based data pre-fetching algorithm to speed up ME on multi-core DSPs through improving efficiency of data access.…”

Section: Dsp-based Implementationmentioning

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.

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Dsp-based Implementationmentioning

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.

Self Cite

View full text Add to dashboard Cite

show abstract

“…To reduce the encoding complexity, we can employ a hardware accelerator, a software-based optimization and parallel processing method, and a fast coding-based algorithm. [10][11][12][13][14][15] The fast coding-based algorithm, which is the main focus of this article, is an approach applicable without restriction to software and hardware design. It uses analytic conditions such as coded block flag (CBF), ratio of SKIP mode, rate distortion (RD) cost, and distribution of transform coefficients to enhance the encoding speed.…”

Section: Review Of Related Workmentioning

confidence: 99%

“…To reduce the encoding complexity, we can employ a hardware accelerator, a software-based optimization and parallel processing method, and a fast coding–based algorithm. 10–15…”

Section: Review Of Related Workmentioning

confidence: 99%

Complexity reduction method for High Efficiency Video Coding encoding based on scene-change detection and image texture information

Lee

Ahn

Kim

et al. 2019

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Recently, as demand for high-quality video and realistic media has increased, High Efficiency Video Coding has been standardized. However, High Efficiency Video Coding requires heavy cost in terms of computational complexity to achieve high coding efficiency, which causes problems in fast coding processing and real-time processing. In particular, High Efficiency Video Coding inter-coding has heavy computational complexity, and the High Efficiency Video Coding inter prediction uses reference pictures to improve coding efficiency. The reference pictures are typically signaled in two independent lists according to the display order, to be used for forward and backward prediction. If an event occurs in the input video, such as a scene change, the inter prediction performs unnecessary computations. Therefore, the reference picture list should be reconfigured to improve the inter prediction performance and reduce computational complexity. To address this problem, this article proposes a method to reduce computational complexity for fast High Efficiency Video Coding encoding using information such as scene changes obtained from the input video through preprocessing. Furthermore, reference picture lists are reconstructed by sorting the reference pictures by similarity to the current coded picture using Angular Second Moment, Contrast, Entropy, and Correlation, which are image texture parameters from the input video. Simulations are used to show that both the encoding time and coding efficiency could be improved simultaneously by applying the proposed algorithms.

show abstract

Exploring high-order adder compressors for power reduction in sum of absolute differences architectures for real-time UHD video encoding

Paim

Santana

Abreu

et al. 2020

J Real-Time Image Proc

View full text Add to dashboard Cite

SIMD acceleration for HEVC encoding on DSP

Cited by 7 publications

References 18 publications

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

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

Complexity reduction method for High Efficiency Video Coding encoding based on scene-change detection and image texture information

Exploring high-order adder compressors for power reduction in sum of absolute differences architectures for real-time UHD video encoding

Contact Info

Product

Resources

About