Presentation + Paper
21 August 2020 Design of the intra subpartition mode in VVC and its optimized encoder search in VTM
Santiago De-Luxán-Hernández, Valeri George, Gayathri Venugopal, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand
Author Affiliations +
Abstract
The Intra Subpartition (ISP) mode is one of the intra prediction tools incorporated to the new Versatile Video Coding (VVC) standard. ISP divides a luma intra-predicted block along one dimension into 2 or 4 smaller blocks, called subpartitions, that are predicted using the same intra mode. This paper describes the design of this tool and its encoder search implementation in the VVC Test Model 7.3 (VTM-7.3) software. The main challenge of the ISP encoder search is the fact that the mode pre-selection based on the sum of absolute transformed differences typically utilized for intra prediction tools is not feasible in the ISP case, given that it would require knowing beforehand the values of the reconstructed samples of the subpartitions. For this reason, VTM employs a different strategy aimed to overcome this issue. The experimental tool-off tests carried out for the All Intra configuration show a gain of 0.52% for the 22-37 Quantization Parameter (QP) range with an associated encoder runtime of 85%. The results are improved to a 1.06% gain and an 87% encoder runtime in the case of the 32-47 QP range. Analogously, for the tool-on case the results for the 22-37 QP range are a 1.17% gain and a 134% encoder runtime and this improves in the 32-47 QP range to a 1.56% gain and a 126% encoder runtime.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Santiago De-Luxán-Hernández, Valeri George, Gayathri Venugopal, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, and Thomas Wiegand "Design of the intra subpartition mode in VVC and its optimized encoder search in VTM", Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 115100Y (21 August 2020); https://doi.org/10.1117/12.2567171
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KEYWORDS
Computer programming

Artificial intelligence

Video coding

Distortion

Quantization

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