Fast transform skip mode decision for HEVC screen content coding

Lee, Dahee; Yang, Seungha; Shim, Hiuk Jae

doi:10.1109/bmsb.2015.7177193

Cited by 10 publications

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An adaptive precision is exploited in [21] to reduce the computation load of the HEVC-SCC encoders by the hash block matching. A fast decision is designed in [22] to decrease residual coding complexity in transform process, in which intra block copy block with zero flag is enforced to be coded for skip mode. A fast intra coding approach which focuses on smooth regions is proposed in [23] to decrease the encoder complexity by skipping the IBC and PLT mode.…”

Section: Introductionmentioning

confidence: 99%

Efficient intra mode decision for low complexity HEVC screen content compression

et al. 2019

View full text Add to dashboard Cite

High efficiency video coding screen content coding (HEVC-SCC) extension is the latest HEVC development to improve the compression performance of screen content (SC) video. Similar to HEVC, the intra mode selection in HEVC-SCC is performed all the coding unit (CU) partitions to find the least rate distortion (RD) cost. Furthermore, additional intra tools are introduced to improve HEVC-SCC coding efficiency. However, these new tools could cause high computation complexity which restricts HEVC-SCC from ongoing applications. To solve the problem, an efficient intra mode decision for HEVC-SCC that adaptively utilizes the texture complexity of SC treeblock is proposed. The texture complexity of a SC treeblock is first analyzed according to the variation degree of the luminance value. And then, two efficient approaches are proposed based on the constructed model, which are early CU depth level determination and adaptive intra mode selection. Experimental results demonstrate that the proposed method can save 48.5% encoder runtime while keeping nearly the same coding efficiency as the HEVC-SCC encoders.

show abstract

Section: Introductionmentioning

confidence: 99%