KSII Transactions on Internet and Information Systems (TIIS)

  • 제6권5호
  • /
  • Pages.1388-1399
  • /
  • 2012
  • /
  • 1976-7277(pISSN)
  • /
  • 1976-7277(eISSN)
한국인터넷정보학회 (Korean Society for Internet Information)
권호 표지
DOI QR코드

DOI QR Code

Lightweight Quality Metric Based on No-Reference Bitstream for H.264/AVC Video

  • Kim, Yo-Han (College of Information and Communication Engineering, Sungkyunkwan University) ;
  • Shin, Ji-Tae (College of Information and Communication Engineering, Sungkyunkwan University) ;
  • Kim, Ho-Kyom (Creative and Challenging Research Division, Electronics and Telecommunications Research Institute)
  • 투고 : 2012.02.13
  • 심사 : 2012.04.22
  • 발행 : 2012.05.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This paper proposes a quality metric based on a No-Reference Bitstream (NR-B) having least computational complexity for the assessment of the human-perceptual quality of H.264 encoded video. The proposed NR-B method performs a modeling of encoding distortion with three bit-stream information (i.e. frame-rate, motion-vector, and quantization-parameter) that can be directly extractable from the encoded bitstream and does not require additional complex processing of final pictures. From performance evaluation using 165 compressed video sequences, the experiment results show that the proposed metric has a higher correlation with subjective quality than is achieved with other comparable methods.

키워드

참고문헌

  1. B. Girod, "What's wrong with mean squared error?" in AB. Watson (Ed.), Digital Images and Human Vision, MIT Press, Cambridge, MA, 1993, pp.207-220.
  2. P. Marziliano, F. Dufaux, S. Winkler and T. Ebrahimi, "A no-reference perceptual blur metric," in Proc. of IEEE ICIP, pp. III-57-III-60, 2002.
  3. R. Ferzli, and L.J. Karam, "A No-reference objective image sharpness metric based on the notion of just noticeable blur (JNB)," IEEE Transactions on Image Processing, vol.18, no.4, pp.717-728, Apr.2009. https://doi.org/10.1109/TIP.2008.2011760
  4. S. Lee and S.J. Park, "A new image quality assessment method to detect and measure strength of blocking artifacts," Signal Processing: Image Communication, vol.27, no.1, pp.31-38, Jan. 2012. https://doi.org/10.1016/j.image.2011.08.002
  5. W. Lin, and C.J. Kuo, "Perceptual visual quality metrics: A survey," in Journal of Visual Communication and Image Representation, vol.22, no.4, pp.297-312, May.2011. https://doi.org/10.1016/j.jvcir.2011.01.005
  6. K. Seshadrinathan and A. C. Bovik, "Motion tuned spatio-temporal quality assessment of natural videos," IEEE Trans. Image Process., vol.19, no.2, pp.335-350, Feb.2010. https://doi.org/10.1109/TIP.2009.2034992
  7. R. Feghali, D. Wang, F. Speranza and A. Vincent, "Quality metric for video sequences with temporal scalability", In Proc. of IEEE ICIP, pp.11-14, Sept.2005.
  8. Z. Wang and A.C. Bovik, "Reduced- and no-reference image quality assessment," IEEE Signal Processing Magazine, vol.28, no.6, pp.29-40, Nov.2011. https://doi.org/10.1109/MSP.2011.942471
  9. C. S. Kim, S. H. Kim, D. J. Seo and Y. M. Ro, "Measuring video quality on full scalability of H.264/AVC scalable video coding", IEICE Trans. Commun., vol.E91-B, 2008.
  10. P. Le Callet, C. V. Gaudin, S. Pechard and E. CaillardAILLAULT, "No reference and reduced reference video quality metrics for end to end QoS monitoring", IEICE Trans. Commun., vol.E85-B, 2006.
  11. Kawano, T.; Yamagishi, K.; Watanabe, K. and Okamoto, J., "No reference video-quality-assessment model for video streaming services," in Proc. of 18th International Packet Video Workshop, pp.158-164, 2010.
  12. M. Naccari, M. Tagliasacchi and S. Tubaro, "No-reference video quality monitoring for H.264/AVC coded video," IEEE Trans. On multimedia, vol.11, no.5, pp.932-946, Aug.2009. https://doi.org/10.1109/TMM.2009.2021785
  13. T. Oelbaum, C.Keimel and K.Diepold, "Rule-based no-reference video quality evaluation using additionally coded videos," IEEE Journal of Selected Topics in Signal Processing, vol.3, no.2, pp.294-303, 2009. https://doi.org/10.1109/JSTSP.2009.2015473
  14. G. Zhai, J. Cai, W. Lin, X. Yang and W. Zhang, "Three dimensional scalable video adaptation via user-end perceptual quality assessment," IEEE Trans. Image Process., vol.19, no.2, pp.335-350, 2010. https://doi.org/10.1109/TIP.2009.2034992
  15. A. Eichhorn and P. Ni, "Pick your layers wisely - a quality assessment of H.264 scalable video coding for mobile devices," In Proc. of IEEE International Conference on Communications, 2009.
  16. T. Brandão and M. P. Queluz, "No-reference quality assessment of H.264/AVC encoded video," IEEE Transactions on Circuits Systtem Video Technol., vol.20, no.11, pp.1437-1447, Nov.2010. https://doi.org/10.1109/TCSVT.2010.2077474
  17. Fuzheng Yang; Shuai Wan; Qingpeng Xie and Hong Ren Wu;, " No-reference quality assessment for networked video via primary analysis of bit stream," IEEE Trans. on Circuits and Systems for Video Technology, vol.20, no.11, pp.1544-554, Nov.2010. https://doi.org/10.1109/TCSVT.2010.2087433
  18. M-D. Cano, F. Cerdan and S. Almagro, "Statistical analysis of a subjective QoE Assessment for VVoIP Applications", ETRI Journal, vol.32, no.6, pp.843-853, Dec.2010. https://doi.org/10.4218/etrij.10.0109.0645
  19. LIVE Video Quality Database, http://live.ece.utexas.edu/research/quality/live_video.html.
  20. "Hybrid Perceptual/Bitstream Group Test Plan," Video quality experts group (VQEG), Draft Version 1.3, 2009.
  21. K. Seshadrinathan, R. Soundararajan, A. C. Bovik and L. K. Cormack, "Study of Subjective and Objective Quality Assessment of Video", IEEE Trans. Image Process., vol.19, no.6, pp. 1427-1441, 2010. https://doi.org/10.1109/TIP.2010.2042111

피인용 문헌

  1. No-reference Image Quality Assessment With A Gradient-induced Dictionary vol.10, pp.1, 2012, https://doi.org/10.3837/tiis.2016.01.017