No-Reference Quality Estimation for Video-Streaming Services Based on Error-Concealment Effectiveness

Toru YAMADA; Yoshihiro MIYAMOTO; Takao NISHITANI

doi:10.1587/transfun.E95.A.2007

No-Reference Quality Estimation for Video-Streaming Services Based on Error-Concealment Effectiveness

Toru YAMADA, Yoshihiro MIYAMOTO, Takao NISHITANI

Full Text Views

0

Share
Cite this

Summary :

This paper proposes a video-quality estimation method based on a no-reference model for realtime quality monitoring in video-streaming services. The proposed method analyzes both bitstream information and decoded pixel information to estimate video-quality degradation by transmission errors. Video quality in terms of a mean squared error (MSE) between degraded video frames and error-free video frames is estimated on the basis of the number of impairment macroblocks in which the quality degradation has not been possible to be concealed. Error-concealment effectiveness is evaluated using motion information and luminance discontinuity at the boundaries of impairment regions. Simulation results show a high correlation (correlation coefficients of 0.93) between the actual MSE and the number of macroblocks in which error concealment has not been effective. These results show that the proposed method works well in reatime quality monitoring for video-streaming services.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E95-A No.11 pp.2007-2014

Publication Date: 2012/11/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E95.A.2007

Type of Manuscript: Special Section PAPER (Special Section on Smart Multimedia & Communication Systems)

Category: Multimedia Environment Technology

Cite this

Copy

Toru YAMADA, Yoshihiro MIYAMOTO, Takao NISHITANI, "No-Reference Quality Estimation for Video-Streaming Services Based on Error-Concealment Effectiveness" in IEICE TRANSACTIONS on Fundamentals, vol. E95-A, no. 11, pp. 2007-2014, November 2012, doi: 10.1587/transfun.E95.A.2007.
Abstract: This paper proposes a video-quality estimation method based on a no-reference model for realtime quality monitoring in video-streaming services. The proposed method analyzes both bitstream information and decoded pixel information to estimate video-quality degradation by transmission errors. Video quality in terms of a mean squared error (MSE) between degraded video frames and error-free video frames is estimated on the basis of the number of impairment macroblocks in which the quality degradation has not been possible to be concealed. Error-concealment effectiveness is evaluated using motion information and luminance discontinuity at the boundaries of impairment regions. Simulation results show a high correlation (correlation coefficients of 0.93) between the actual MSE and the number of macroblocks in which error concealment has not been effective. These results show that the proposed method works well in reatime quality monitoring for video-streaming services.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E95.A.2007/_p

Copy

@ARTICLE{e95-a_11_2007,
author={Toru YAMADA, Yoshihiro MIYAMOTO, Takao NISHITANI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={No-Reference Quality Estimation for Video-Streaming Services Based on Error-Concealment Effectiveness},
year={2012},
volume={E95-A},
number={11},
pages={2007-2014},
abstract={This paper proposes a video-quality estimation method based on a no-reference model for realtime quality monitoring in video-streaming services. The proposed method analyzes both bitstream information and decoded pixel information to estimate video-quality degradation by transmission errors. Video quality in terms of a mean squared error (MSE) between degraded video frames and error-free video frames is estimated on the basis of the number of impairment macroblocks in which the quality degradation has not been possible to be concealed. Error-concealment effectiveness is evaluated using motion information and luminance discontinuity at the boundaries of impairment regions. Simulation results show a high correlation (correlation coefficients of 0.93) between the actual MSE and the number of macroblocks in which error concealment has not been effective. These results show that the proposed method works well in reatime quality monitoring for video-streaming services.},
keywords={},
doi={10.1587/transfun.E95.A.2007},
ISSN={1745-1337},
month={November},}

Copy

TY - JOUR
TI - No-Reference Quality Estimation for Video-Streaming Services Based on Error-Concealment Effectiveness
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2007
EP - 2014
AU - Toru YAMADA
AU - Yoshihiro MIYAMOTO
AU - Takao NISHITANI
PY - 2012
DO - 10.1587/transfun.E95.A.2007
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E95-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2012
AB - This paper proposes a video-quality estimation method based on a no-reference model for realtime quality monitoring in video-streaming services. The proposed method analyzes both bitstream information and decoded pixel information to estimate video-quality degradation by transmission errors. Video quality in terms of a mean squared error (MSE) between degraded video frames and error-free video frames is estimated on the basis of the number of impairment macroblocks in which the quality degradation has not been possible to be concealed. Error-concealment effectiveness is evaluated using motion information and luminance discontinuity at the boundaries of impairment regions. Simulation results show a high correlation (correlation coefficients of 0.93) between the actual MSE and the number of macroblocks in which error concealment has not been effective. These results show that the proposed method works well in reatime quality monitoring for video-streaming services.
ER -