Gradient-based and intra-frame adaptive depth decision algorithm

Autor: Shi Zhengcheng, Zhang Qian, Jing Ruihai, Cui Pengtao, Wang Bin, Yan Tao, Huang Jifeng
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Journal of Shanghai Normal University (Natural Sciences), Vol 47, Iss 2, Pp 248-252 (2017)
ISSN: 1000-5137
Popis: To reduce this computational complexity,agradient-based clipping algorithm for intra-frame candidatemode is proposed,which simplifies the intra prediction process by adaptive deep division and spatial information usage.Experimental results show that the proposed algorithm reduces the computational complexity by 35.25% compared with HM16.7 with only mininal loss of coding efficiency.
Databáze: OpenAIRE