Predicting full-reference video quality measures using HEVC bitstream-based no-reference features

2015 7th International Workshop on Quality of Multimedia Experience, QoMEX 2015

Volumn , Issue , 2015, Pages

  Shahid, Muhammad ^a   Panasiuk, Joanna ^a   Van Wallendael, Glenn ^b   Barkowsky, Marcus ^c   Lövström, Benny ^a  

^a BLEKINGE INSTITUTE OF TECHNOLOGY   (Sweden)

^b GHENT UNIVERSITY   (Belgium)

^c UNIVERSITÉ DE NANTES   (France)

Author keywords

Bitstream based Features; HEVC; No Reference Methods; Video Quality Assessment

Indexed keywords

FORECASTING; MULTIMEDIA SYSTEMS;

BIT STREAM; HEVC; LARGE-SCALE DATABASE; NO REFERENCE METHODS; OBJECTIVE QUALITIES; QUANTIZATION PARAMETERS; VIDEO QUALITY ASSESSMENT; VIDEO QUALITY EXPERTS GROUPS;

BINARY SEQUENCES;

EID: 84939503927     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/QoMEX.2015.7148118     Document Type: Conference Paper

References (7)

1. Shahid et al., "No-reference image and video quality assessment: A classification and review of recent approaches," EURASIP Journal on Image and Video Processing, vol. 2014, no. 40, 2014.
2. Izumi et al., "No reference video quality assessment based on parametric analysis of HEVC bitstream," in Proc. QoMEX, Sept 2014.
3. Aabed et al., "No-reference quality assessment of HEVC videos in lossprone networks," in Proc. ICASSP, May 2014.
4. Van Wallendael et al., "No-reference bitstream-based impairment detection for high efficiency video coding," in Proc. QoMEX, July 2012.
5. Barkowsky et al., "Objective video quality assessment towards large scale video database enhanced model development," IEICE Trans. Commun, vol. E-98-B, no. 2, pp. 2-11, Jan 2015.
6. "ITU-T Recommendation: H.265/High Efficiency Video Coding," http://www.itu.int/rec/T-REC-H.265-201410-I/en, 2014, [Online; Accessed 11-February-2015].
7. Shahid et al., "A reduced complexity no-reference artificial neural network based video quality predictor," in Proc. CISP, Oct 2011.