No-reference quality assessment of HEVC videos in loss-prone networks

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2014, Pages 2015-2019

  Aabed, Mohammed A ^a   Alregib, Ghassan ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

high efficiency video coding (HEVC); network losses; temporal distortion propagation; video quality monitoring; video streaming

Indexed keywords

CHANNEL CODING; IMAGE CODING; SIGNAL PROCESSING; VIDEO STREAMING;

CORRELATION COEFFICIENT; ERROR CONCEALMENT TECHNIQUE; HIGH-EFFICIENCY VIDEO CODING; NETWORK LOSS; QUALITY ASSESSMENT; TEMPORAL DISTORTIONS; TEMPORAL VARIATION; VIDEO QUALITY MONITORING;

NETWORK CODING;

EID: 84905229941     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2014.6853952     Document Type: Conference Paper

References (13)

1. Benjamin Bross, Woo-Jin Han, Jens-Rainer Ohm, Gary J. Sullivan, Ye-Kui Wang, and Thomas Wiegand, "High efficiency video coding (hevc) text specification draft 10 (for fdis & final call)," in Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11, JCTVCL1003. v34, jan 2013.
2. ITU-T, "H.265: High efficiency video coding," Tech. Rep., ITU Telecommunication Standardization Sector, april 2013.
3. G.J. Sullivan, J. Ohm, Woo-Jin Han, and T. Wiegand, "Overview of the high efficiency video coding (hevc) standard," IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 12, pp. 1649-1668, 2012.
4. J. Ascenso, H. Cruz, and P. Dias, "Packet-header based no-reference quality metrics for h.264/avc video transmission," in 2012 International Conference on Telecommunications and Multimedia (TEMU), 2012, pp. 174-151.
5. N. Staelens, D. Deschrijver, E. Vladislavleva, B. Vermeulen, T. Dhaene, and P. Demeester, "Constructing a no-reference h.264/avc bitstream-based video quality metric using genetic programming-based symbolic regression," IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 8, pp. 1322-1333, 2013.
6. Francesca De Simone, Lutz Goldmann, Jong-Seok Lee, and Touradj Ebrahimi, "Towards high efficiency video coding: Subjective evaluation of potential coding technologies," J. Vis. Comun. Image Represent., vol. 22, no. 8, pp. 734-748, Nov. 2011.
7. Philippe Hanhart, Pavel Korshunov, and Touradj Ebrahimi, "Benchmarking of quality metrics on ultrahigh definition video sequences," in 2013 18th International Conference on Digital Signal Processing (DSP), 2013, pp. 1-8.
8. Sung-Ho Bae, Jaeil Kim, Munchurl Kim, Sukhee Cho, and Jin Soo Choi, "Assessments of subjective video quality on hevc-encoded 4k-uhd video for beyond-hdtv broadcasting services," IEEE Transactions on Broadcasting, vol. 59, no. 2, pp. 209-222, 2013.
9. Frank Bossen, "Common test conditions and software reference configurations," in Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11, JCTVC-K1100, Shanghai, China, 11th meeting, oct 2012.
10. Parabola Research, Parabola Explorer Software, Version 2.5, University of Southampton Science Park, UK, 2013.
11. Frank Bossen, David Flynn, and Karsten Sühring, HM 12.1 Software Manual, Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11, JCTVC-Software Manual, may 2013.
12. Stephan Wenger, "Nal unit loss software," in Joint Collaborative Team on Video Coding (JCT-VC) of ITUT SG16 WP3 and ISO/IEC JTC1/SC29/WG1, JCTVCH0072, feb 2012.
13. ITU-T, "P.910: Subjective video quality assessment methods for multimedia applications," Tech. Rep., ITU Telecommunication Standardization Sector, 2008.