TY - JOUR
T1 - A new reference frame recompression algorithm and its VLSI architecture for UHDTV video codec
AU - Guo, Li
AU - Zhou, Dajiang
AU - Goto, Satoshi
PY - 2014/12/1
Y1 - 2014/12/1
N2 - Video encoders and decoders for HEVC-like compression standards require huge external memory bandwidth, which occupies a significant portion of the codec power consumption. To reduce the memory bandwidth, this paper presents a new lossless reference frame recompression algorithm along with a high-throughput hardware architecture. Firstly, hybrid spatial-domain prediction is proposed to combine the merits of DPCM scanning and averaging. The prediction is then enhanced with multiple modes to accommodate various image characteristics. Finally, efficient residual regrouping based on semi-fixed-length (SFL) coding is used to improve the compression performance. Compared to no compression, the proposed scheme can reduce data traffic by an average of 57.6% with no image quality degradation. The average compression ratio is 2.49, an improvement of at least 12.2-13.2%, relative to the state-of-the-art algorithms. By applying a reordered two-step architecture and the two optimizations, residual reuse and simplified coding mode decision, the hardware cost is similar to that of previous reference frame recompression architectures. The computational complexity increase caused by multi-mode prediction affects the HW cost slightly. This work can be implemented with 45.1 k gates for the compressor and 34.5 k gates for the decompressor at 300 MHz, enough to support a 3840 x 2160@60fps video encoder and decoder.
AB - Video encoders and decoders for HEVC-like compression standards require huge external memory bandwidth, which occupies a significant portion of the codec power consumption. To reduce the memory bandwidth, this paper presents a new lossless reference frame recompression algorithm along with a high-throughput hardware architecture. Firstly, hybrid spatial-domain prediction is proposed to combine the merits of DPCM scanning and averaging. The prediction is then enhanced with multiple modes to accommodate various image characteristics. Finally, efficient residual regrouping based on semi-fixed-length (SFL) coding is used to improve the compression performance. Compared to no compression, the proposed scheme can reduce data traffic by an average of 57.6% with no image quality degradation. The average compression ratio is 2.49, an improvement of at least 12.2-13.2%, relative to the state-of-the-art algorithms. By applying a reordered two-step architecture and the two optimizations, residual reuse and simplified coding mode decision, the hardware cost is similar to that of previous reference frame recompression architectures. The computational complexity increase caused by multi-mode prediction affects the HW cost slightly. This work can be implemented with 45.1 k gates for the compressor and 34.5 k gates for the decompressor at 300 MHz, enough to support a 3840 x 2160@60fps video encoder and decoder.
KW - Embedded compression
KW - H.264/AVC
KW - HEVC
KW - Lossless reference frame recompression
KW - Multi-mode DPCM and averaging prediction
UR - http://www.scopus.com/inward/record.url?scp=84912102504&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84912102504&partnerID=8YFLogxK
U2 - 10.1109/TMM.2014.2350256
DO - 10.1109/TMM.2014.2350256
M3 - Article
AN - SCOPUS:84912102504
VL - 16
SP - 2323
EP - 2332
JO - IEEE Transactions on Multimedia
JF - IEEE Transactions on Multimedia
SN - 1520-9210
IS - 8
M1 - 6881682
ER -