HEVC coding optimisation for Ultra High Definition television services

Gabriellini, Andrea; Mrak, Marta; Blasi, Saverio; Zupančić, I.; Izquierdo, Ebroul

doi:10.1109/pcs.2015.7170039

Cited by 15 publications

(18 citation statements)

References 5 publications

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“…For this reason, during the development of the Turing codec, great importance was given towards evaluating the impact of HEVC tools on compression efficiency and complexity, with the goal of defining a set of requirements (in terms of parameters and tools) to guide the development of the encoder. Many experiments were performed for this purpose, as detailed in (8). In particular the HM reference software was used (Version 12.0) to encode 16 UHD sequences (spatial resolution of 3840 × 2160 luma samples), frame rate of 50 or 60 Hz, 4:2:0 format, 8 bits per component, according to the Common Test Conditions (CTCs) (9) used by the JCT-VC under the Random Access Main (RA-Main) configuration.…”

Section: Encoding Process Optimisations and Speed Presetsmentioning

confidence: 99%

The open-source turing codec: towards fast, flexible and parallel HEVC encoding

Blasi¹,

Weerakkody²,

Funnell³

et al. 2016

IBC 2016 Conference

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The Turing codec is an open-source software codec compliant with the HEVC standard and specifically designed for speed, flexibility, parallelisation and high coding efficiency. The Turing codec was designed starting from a completely novel backbone to comply with the Main and Main10 profiles of HEVC, and has many desirable features for practical codecs such as very low memory consumption, advanced parallelisation schemes and fast encoding algorithms. This paper presents a technical description of the Turing codec as well as a comparison of its performance with other similar encoders. The codec is capable of cutting the encoding complexity by an average 87% with respect to the HEVC reference implementation for an average coding penalty of 11% higher rates in compression efficiency at the same peak-signal-noise-ratio level.

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Section: Encoding Process Optimisations and Speed Presetsmentioning

confidence: 99%

The open-source turing codec: towards fast, flexible and parallel HEVC encoding

Blasi¹,

Weerakkody²,

Funnell³

et al. 2016

IBC 2016 Conference

View full text Add to dashboard Cite

show abstract

“…The test set used in this paper comprises 16 sequences with 8 bits per component, 4:2:0 chroma format, 3840 × 2160 spatial resolution, and frame rate of 50 and 60 fps. More information on the test sequences can be found elsewhere [16]. Each sequence is encoded with four QP values which were determined by visually inspecting the test set compressed with QP ranging from 22 to 45.…”

Section: A Test Materials and Coding Conditionsmentioning

confidence: 99%

“…Lower value corresponds to higher rate accuracy. Experimental analysis presented in this paper was performed using a fast HEVC encoder implementation based on HM version 12.0 [5], denoted as HM-fast, which was tailored for fast encoding of UHD content [16]. All the results presented here use the HM-fast codec run in VBR mode as anchor.…”

Section: A Test Materials and Coding Conditionsmentioning

confidence: 99%

Studying rate control methods for UHDTV delivery using HEVC

Zupančić

Mrak

Izquierdo

2016

2016 International Symposium ELMAR

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Since the early video coding standardisation efforts, rate control has been considered essential for almost any application. With the advent of improved video coding standards and the introduction of advanced flexible coding tools, previous Rate-Distortion (RD) models used for rate control have become obsolete. To address this issue, some rate control methods have been recently proposed specifically for the current state-of-the-art High Efficiency Video Coding (HEVC) standard which introduce many useful features, such as a robust correspondence between the rate and Lagrange multiplier λ. However, when applying these rate control methods on sequences in the new Ultra High Definition Television (UHDTV) format, degraded coding performance was observed. In this paper, an analysis of the state-of-the-art HEVC rate control method was performed and two directions for its improvement were evaluated. These improvements target framelevel bit-allocation and model parameter initialisation. When compared to the rate control method implemented in the HEVC reference software, these improvements result in reduced BDrate losses of 3.1% and 2.1%, versus the 8.8% provided by the reference algorithm. Moreover, the proposed improvements increase the accuracy in hitting the target bit-rate.

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“…While the DST is used only for the smallest block size, namely 4 × 4 pixels, the DCT is used for all the other sizes, up to 32 × 32. For this reason, some works pointed out that the complexity of the transform stage in the HEVC context is particularly relevant [2,3]. This motivated several researchers to propose dedicated architectures for variable size DCTs, such as [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Steerable-Discrete-Cosine-Transform (SDCT): Hardware Implementation and Performance Analysis

Peloso

Capra

Sole

et al. 2020

Sensors

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In the last years, the need for new efficient video compression methods grown rapidly as frame resolution has increased dramatically. The Joint Collaborative Team on Video Coding (JCT-VC) effort produced in 2013 the H.265/High Efficiency Video Coding (HEVC) standard, which represents the state of the art in video coding standards. Nevertheless, in the last years, new algorithms and techniques to improve coding efficiency have been proposed. One promising approach relies on embedding direction capabilities into the transform stage. Recently, the Steerable Discrete Cosine Transform (SDCT) has been proposed to exploit directional DCT using a basis having different orientation angles. The SDCT leads to a sparser representation, which translates to improved coding efficiency. Preliminary results show that the SDCT can be embedded into the HEVC standard, providing better compression ratios. This paper presents a hardware architecture for the SDCT, which is able to work at a frequency of 188 M Hz , reaching a throughput of 3.00 GSample/s. In particular, this architecture supports 8k UltraHigh Definition (UHD) (7680 × 4320) with a frame rate of 60 Hz , which is one of the best resolutions supported by HEVC.

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HEVC coding optimisation for Ultra High Definition television services

Cited by 15 publications

References 5 publications

The open-source turing codec: towards fast, flexible and parallel HEVC encoding

The open-source turing codec: towards fast, flexible and parallel HEVC encoding

Studying rate control methods for UHDTV delivery using HEVC

Steerable-Discrete-Cosine-Transform (SDCT): Hardware Implementation and Performance Analysis

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