Browsing by Author "Jou, Shiau-Yu"

Now showing 1 - 2 of 2

A QFHD 30-frames/s HEVC Decoder Design
(2016-04)
Chiang, Pai-Tse
;
Ting, Yi-Ching
;
Chen, Hsuan-Ku
;
Jou, Shiau-Yu
;
Chen, I-Wen
The High Efficiency Video Coding (HEVC) standard provides superior compression with large and variable-size coding units and advanced prediction modes, which leads to high buffer costs, memory bandwidth, and irregular computation for ultra high-definition video decoding hardware. Thus, this paper presents an HEVC decoder with a four-stage mixed block size pipeline to reduce the pipeline stage buffer size by approximately 91% compared with the 64x64 block-based pipeline. The high memory bandwidth due to motion compensation problem was solved by 16 x 16 block-based data access, precision-based data access, and a smart buffer to reduce the data bandwidth by 88%. In addition, for irregular computation, a reconfigurable architecture was adopted to unify the variable-size transform. A common intra-prediction module was also designed with a 4x4 block-based bottom-up computation for variable-size intra prediction and modes in a regular manner. Furthermore, the corner position computation for the motion vector predictor was applied to handle variable-size motion compensation. Finally, the implementation with the TSMC 90-nm CMOS process used 467k logic gates and 15.778 kB of on-chip memory and supported 4096x2160
Fast Prediction Unit Selection for HEVC Fractional Pel Mootion Estimation Design
(2013)
Jou, Shiau-Yu
;
Chang, Tian-Sheuan
;
電子工程學系及電子研究所
;
Department of Electronics Engineering and Institute of Electronics
The quadtree-based inter-prediction in the latest High Efficiency Video Coding (HEVC) enables highly flexible structure and good coding efficiency, but also introduces significant computational complexity for hardware design. Conventional approach determines the best inter-prediction mode after computation of both integer-pel (IME) and fractional-pel motion estimation (FME). However, the best prediction unit (PU) after IME and FME are highly correlated according to our analysis. Thus, this paper proposes a fast PU selection method that computes possible FME PU size only in the same quadtree depth as that of the best IME PU instead of exhaustive search. The simulation results show that the proposed approach can save up to 79% computational complexity of FME, with only up to 1.34% BD-rate increases when compared with the reference software HM6.0.