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Author:

Chen, Qiubo (Chen, Qiubo.) | Sun, Hongbin (Sun, Hongbin.) (Scholars:孙宏滨) | Zheng, Nanning (Zheng, Nanning.)

Indexed by:

SCIE EI Scopus

Abstract:

Display frame compression is an effective technique to address the challenge of external memory access in ultrahigh definition video display system. Nevertheless, previously proposed display frame compression designs are inadequate in terms of either energy efficiency or throughput. This paper aims to exploit the algorithm and very large scale integration (VLSI) architecture of a worst case driven display frame compression. By using a prediction-and-compression framework and a semi-fixed length coding scheme, the proposed design can achieve the much better balance between compression efficiency and throughput, and substantially reduce the bandwidth requirement and energy consumption of external memory system in the meanwhile. Extensive experiments demonstrate that the proposed display frame compression achieves 5.7-dB peak signal-to-noise ratio improvement, 3.1% compression ratio reduction, 3 x throughput, and 66.4% hardware cost saving, compared with the best previous work. In addition, the proposed VLSI design can support the throughput of 4 K x 2 K@60 Hz and reduce at least 17.6% energy consumption of external memory system by exploiting dynamic voltage and frequency scaling, compared with conventional display frame compression works.

Keyword:

Display frame compression energy efficiency memory bandwidth ultra-high definition (HD) video very large scale integration (VLSI) architecture

Author Community:

  • [ 1 ] [Chen, Qiubo; Sun, Hongbin; Zheng, Nanning] Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot, Xian 710049, Shaanxi, Peoples R China
  • [ 2 ] [Chen, Qiubo]Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot, Xian 710049, Shaanxi, Peoples R China
  • [ 3 ] [Sun, Hongbin]Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot, Xian 710049, Shaanxi, Peoples R China
  • [ 4 ] [Zheng, Nanning]Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot, Xian 710049, Shaanxi, Peoples R China

Reprint Author's Address:

  • 孙宏滨

    Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot, Xian 710049, Shaanxi, Peoples R China.

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Source :

IEEE TRANSACTIONS ON MULTIMEDIA

ISSN: 1520-9210

Year: 2018

Issue: 5

Volume: 20

Page: 1113-1125

5 . 4 5 2

JCR@2018

6 . 5 1 3

JCR@2020

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:114

JCR Journal Grade:2

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

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