Color Gamut Scalable Video Coding For SHVC

Bordes, Philippe; Andrivon, Pierre; Zakizadeh, Roshanak

doi:10.1109/pcs.2013.6737743

Cited by 6 publications

(7 citation statements)

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“…In this case, SHVC applies a color mapping process to improve the coding efficiency. A 3D look-up table (LUT) based color mapping is used to generate texture samples in the ILR picture by converting samples in the RL picture from the RL color space to the EL color space [36]. When spatial scalability and color gamut scalability are used in combination, both upsampling and color mapping are required to generate the ILR picture.…”

Section: Color Mappingmentioning

confidence: 99%

Overview of SHVC: Scalable Extensions of the High Efficiency Video Coding Standard

Boyce

Chen

et al. 2016

IEEE Trans. Circuits Syst. Video Technol.

330

126

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This paper provides an overview of SHVC, the scalable extensions of the High Efficiency Video Coding (HEVC) standard, published in the second version of HEVC. In addition to the temporal scalability already provided by the first version of HEVC, SHVC further provides spatial, SNR, bit depth, and color gamut scalability functionalities, as well as combinations of any of these. The SHVC architecture design enables SHVC implementations to be built using multiple repurposed single-layer HEVC codec cores, with the addition of inter-layer reference picture processing modules. The general multi-layer high-level syntax design common to all multi-layer HEVC extensions, including SHVC, MV-HEVC, and 3D-HEVC, is described. The inter-layer reference picture processing modules, including texture and motion resampling and color mapping, are also described. Performance comparisons are provided of SHVC versus simulcast HEVC and versus the Scalable Video Coding (SVC) extension to H.264/AVC. Index Terms-SHVC, HEVC, JCT-VC, JCT-3V, MPEG, scalable video coding, SVC, video standards, VCEG, video compression.Y. Ye is with InterDigital Communications LLC,

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Section: Color Mappingmentioning

confidence: 99%

Overview of SHVC: Scalable Extensions of the High Efficiency Video Coding Standard

Boyce

Chen

et al. 2016

IEEE Trans. Circuits Syst. Video Technol.

330

126

View full text Add to dashboard Cite

show abstract

“…On average, non-uniform chroma partitioning and phase alignment contribute 0.9% and 0.6% luma BD-rate reduction, respectively [18,19]. As shown in [10][11][12], asymmetric 3D LUT is 1% -7% better than [7,8] under different testing environments with much smaller LUT.…”

Section: Coding Efficiencymentioning

confidence: 99%

“…To solve the above problems, a CGS model based on 3D lookup table (LUT) was proposed [7,8]. The principle of the 3D LUT is illustrated in Fig.…”

Section: Introductionmentioning

confidence: 99%

“…Mathematically, the color mapping function with tetrahedral interpolation of each cube is equivalent to the cross-color predictor described in (2) , although better local adaptation is achieved using 3D LUT due to the partitioning of the base layer color space. With a 9 × 9 × 9 LUT (base layer color space is evenly split into 8 × 8 × 8 cubes), much higher coding efficiency than that of inter-layer weighted prediction was reported in [7,8]. Additionally, more coding gain was obtained by an even larger 3D LUT of size 17 × 17 × 17 [9].…”

Section: Introductionmentioning

confidence: 99%

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Asymmetric 3D Lookup Table Based Color Gamut Scalability in SHVC

Chen

Karczewicz

et al. 2015

2015 Data Compression Conference

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SHVC is the scalable extension of the latest video coding standard High Efficiency Video Coding (HEVC). Color Gamut Scalability (CGS) refers to a scalable use case in which base layer and enhancement layer have different color gamuts. In this case, special inter-layer prediction is needed to improve coding efficiency in SHVC. In this paper, a solution based on asymmetric 3D lookup table is presented for color gamut scalability. Compared to SHVC without CGS coding tool, the proposed solution provides 9.6% -16.1% overall luma BD-rate reduction in different test cases.

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“…When the EL has a higher resolution than that of the BL, the reconstructed BL pictures need to be up-sampled to form the ILRPs. When the EL has different color gamut from that of the BL, the color mapping process is applied to map the reconstructed BL pictures to the enhancement color gamut [6]. These modules are the major additions necessary to support the SHVC codec.…”

Section: Introductionmentioning

confidence: 99%