Fast Coding-Mode Selection and CU-Depth Prediction Algorithm Based on Text-Block Recognition for Screen Content Coding

Mengmeng ZHANG; Ang ZHU; Zhi LIU

doi:10.1587/transinf.2016EDL8031

Fast Coding-Mode Selection and CU-Depth Prediction Algorithm Based on Text-Block Recognition for Screen Content Coding

Mengmeng ZHANG, Ang ZHU, Zhi LIU

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As an important extension of high-efficiency video coding (HEVC), screen content coding (SCC) includes various new coding modes, such as Intra Block Copy (IBC), Palette-based coding (Palette), and Adaptive Color Transform (ACT). These new tools have improved screen content encoding performance. This paper proposed a novel and fast algorithm by classifying Code Units (CUs) as text CUs or non-text CUs. For text CUs, the Intra mode was skipped in the compression process, whereas for non-text CUs, the IBC mode was skipped. The current CU depth range was then predicted according to its adjacent left CU depth level. Compared with the reference software HM16.7+SCM5.4, the proposed algorithm reduced encoding time by 23% on average and achieved an approximate 0.44% increase in Bjøntegaard delta bit rate and a negligible peak signal-to-noise ratio loss.

Publication: IEICE TRANSACTIONS on Information Vol.E99-D No.10 pp.2651-2655

Publication Date: 2016/10/01

Publicized: 2016/07/12

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2016EDL8031

Type of Manuscript: LETTER

Category: Image Processing and Video Processing

Authors

Mengmeng ZHANG
  North China University of Technology
Ang ZHU
  North China University of Technology
Zhi LIU
  North China University of Technology

Keyword

screen content coding, text-block recognition, fast algorithm, coding-mode selection, depth prediction

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Mengmeng ZHANG, Ang ZHU, Zhi LIU, "Fast Coding-Mode Selection and CU-Depth Prediction Algorithm Based on Text-Block Recognition for Screen Content Coding" in IEICE TRANSACTIONS on Information, vol. E99-D, no. 10, pp. 2651-2655, October 2016, doi: 10.1587/transinf.2016EDL8031.
Abstract: As an important extension of high-efficiency video coding (HEVC), screen content coding (SCC) includes various new coding modes, such as Intra Block Copy (IBC), Palette-based coding (Palette), and Adaptive Color Transform (ACT). These new tools have improved screen content encoding performance. This paper proposed a novel and fast algorithm by classifying Code Units (CUs) as text CUs or non-text CUs. For text CUs, the Intra mode was skipped in the compression process, whereas for non-text CUs, the IBC mode was skipped. The current CU depth range was then predicted according to its adjacent left CU depth level. Compared with the reference software HM16.7+SCM5.4, the proposed algorithm reduced encoding time by 23% on average and achieved an approximate 0.44% increase in Bjøntegaard delta bit rate and a negligible peak signal-to-noise ratio loss.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.2016EDL8031/_p

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@ARTICLE{e99-d_10_2651,
author={Mengmeng ZHANG, Ang ZHU, Zhi LIU, },
journal={IEICE TRANSACTIONS on Information},
title={Fast Coding-Mode Selection and CU-Depth Prediction Algorithm Based on Text-Block Recognition for Screen Content Coding},
year={2016},
volume={E99-D},
number={10},
pages={2651-2655},
abstract={As an important extension of high-efficiency video coding (HEVC), screen content coding (SCC) includes various new coding modes, such as Intra Block Copy (IBC), Palette-based coding (Palette), and Adaptive Color Transform (ACT). These new tools have improved screen content encoding performance. This paper proposed a novel and fast algorithm by classifying Code Units (CUs) as text CUs or non-text CUs. For text CUs, the Intra mode was skipped in the compression process, whereas for non-text CUs, the IBC mode was skipped. The current CU depth range was then predicted according to its adjacent left CU depth level. Compared with the reference software HM16.7+SCM5.4, the proposed algorithm reduced encoding time by 23% on average and achieved an approximate 0.44% increase in Bjøntegaard delta bit rate and a negligible peak signal-to-noise ratio loss.},
keywords={},
doi={10.1587/transinf.2016EDL8031},
ISSN={1745-1361},
month={October},}

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TY - JOUR
TI - Fast Coding-Mode Selection and CU-Depth Prediction Algorithm Based on Text-Block Recognition for Screen Content Coding
T2 - IEICE TRANSACTIONS on Information
SP - 2651
EP - 2655
AU - Mengmeng ZHANG
AU - Ang ZHU
AU - Zhi LIU
PY - 2016
DO - 10.1587/transinf.2016EDL8031
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2016
AB - As an important extension of high-efficiency video coding (HEVC), screen content coding (SCC) includes various new coding modes, such as Intra Block Copy (IBC), Palette-based coding (Palette), and Adaptive Color Transform (ACT). These new tools have improved screen content encoding performance. This paper proposed a novel and fast algorithm by classifying Code Units (CUs) as text CUs or non-text CUs. For text CUs, the Intra mode was skipped in the compression process, whereas for non-text CUs, the IBC mode was skipped. The current CU depth range was then predicted according to its adjacent left CU depth level. Compared with the reference software HM16.7+SCM5.4, the proposed algorithm reduced encoding time by 23% on average and achieved an approximate 0.44% increase in Bjøntegaard delta bit rate and a negligible peak signal-to-noise ratio loss.
ER -