Title :
Joint perceptually-based Intra prediction and quantization for HEVC
Author :
Guoxin Jin ; Cohen, Reuven ; Vetro, Anthony ; Huifang Sun
Author_Institution :
Northwestern Univ., Evanston, IL, USA
Abstract :
This paper proposes a new coding scheme which jointly applies perceptual quality metrics to prediction, quantization and rate-distortion optimization (RDO) within the High Efficiency Video Coding (HEVC) framework. A new prediction approach which uses template matching is introduced. The template matching uses a structural similarity metric (SSIM) and a Just-Noticeable Distortion (JND) model. The matched candidates are linearly filtered to generate a prediction. We also modify the JND model and use Supra-threshold Distortion (StD) as the distortion measurement in RDO. Experimental results showing improvements for coding textured areas are presented as well.
Keywords :
optimisation; quantisation (signal); rate distortion theory; video coding; visual perception; HEVC; coding scheme; distortion measurement; high efficiency video coding; just-noticeable distortion model; perceptual quality metrics; perceptually-based intra prediction; quantization; rate-distortion optimization; structural similarity metric; supra-threshold distortion; template matching; textured areas; Adaptation models; Discrete cosine transforms; Encoding; Quantization; Sensitivity; Video coding;
Conference_Titel :
Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific
Conference_Location :
Hollywood, CA
Print_ISBN :
978-1-4673-4863-8