摘要
新一代视频编码标准HEVC相比之前标准,在提升编码效率的同时显著增加计算复杂度。针对这一问题,本文提出了一种基于自适应深度预测的快速变换单元(TU)判决算法,利用残差四叉树(RQT)深度自身分布特点以及时空相邻RQT最大深度的相关性预测不同尺寸编码单元(CU)的RQT深度,跳过不必要的深度计算。仿真结果表明,在标准编码配置条件下,相比全部深度判决方法,本算法在保证编码效果的前提下,平均降低50%的TU运算时间,极大减少计算复杂度;同时相比于同类算法在处理复杂序列时的低效率,本算法很好地解决了此类问题。
The emerging high efficiency video coding （HEVC） standard uses residual quadratic tree （RQT） to transform and quantize the predicted residuals after motion estimation （ME）. Rate-distortion costs of all the nodes at different RQT depths are compared transversally to select the optimal one or we call it the optimal transform unit （TU）. The coding efficiency is improved significantly by the new transform technology. However, huge computation complexity is introduced compared with previous standard. To solve the above problem,a rapid TU mode decision algorithm is proposed in this paper focusing on adaptive depth prediction. First of all, weights of temporal-spatial adjacent CTUs combined with characteristics of RQT depth distribution themselves are used to predict RQT depth of certain CTU/CUs. The RQT depths of rest CTU/CUs are predicted via temporal-spatial correlation between RQT maximum depths. As a result, unnecessary RQT depth can be skipped or terminated. According to simulation results, conclusions are obtained that the TU computation complexity can be reduced by about 50% under standard coding configuration,while maintaining almost the same RD performance as original standard. Our algorithm reduces TU computation complexity greatly as expected. Meanwhile, the proposed algorithm effectively addresses the low efficiency problem under complex sequences met by other related algorithms.
出处
《光电子．激光》
EI
CAS
CSCD
北大核心
2014年第9期1785-1790,共6页
Journal of Optoelectronics·Laser
基金
国家自然科学基金资助(61271212
61172096)
上海市自然科学基金(14ZR1415200)
新型显示教育部重点实验室开放课题资助项目
关键词
残差四叉树(RQT)
自适应
时空相关性
复杂度
residual quadratic tree （RQT）
adaptive
temporal-spatial correlation
Complexity
