A fast CU partition method based on CU depth spatial correlation and RD cost characteristics for HEVC intra coding

作者：

Highlights：

• Spatial neighboring CUs have high correlation in CU partition depth.

• A RD cost threshold can be adaptively learned to early terminate CU partition.

• The final algorithm considers both spatial correlation and RD cost characteristics.

• αT in second strategy is directly proportional to saved encoding time.

摘要

•Spatial neighboring CUs have high correlation in CU partition depth.•A RD cost threshold can be adaptively learned to early terminate CU partition.•The final algorithm considers both spatial correlation and RD cost characteristics.•αT in second strategy is directly proportional to saved encoding time.

论文关键词：HEVC,CU partition,Spatial depth correlation,Rate–distortion cost

论文评审过程：Received 12 October 2018, Revised 31 March 2019, Accepted 31 March 2019, Available online 4 April 2019, Version of Record 11 April 2019.

论文官网地址：https://doi.org/10.1016/j.image.2019.03.018