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Year 2017, Volume: 1 Issue: 1, 24 - 33, 31.03.2017

Abstract

References

  • 1. Aflaki, P., Hannuksela, M.M., Hakkinen, J., Lindroos, P., Gabbouj, M. (2010) Subjective Study on Compressed Asymmetric Stereoscopic Video, IEEE Conference on Image Processing.
  • 2. Amonou, I., Cammas, N., Kervadec, S., Pateux, S. (2007) Optimized Rate-Distortion Extraction with Quality Layers in the Scalable Extension of H.264/AVC, IEEE Transactions on Circuits and Systems for Video Technology, 17(9), 1186-1193.
  • 3. Fehn, C., Kauff, P., Cho, S., Kwon, H., Hur, N., Kim, J. (2007) Asymmetric Coding of Stereoscopic Video for Transmission over T-DMB, 3DTV Conference: The True Vision – Capture, Transmission and Display of 3D Video.
  • 4. ITU-R Recommendation BT.500-11, (2002). Methodology for the Subjective Assessment of the Quality of Television Pictures, International Telecommunication Union.
  • 5. ITU-R Recommendation P.910, (2008). Subjective Video Quality Assessment Methods for Multimedia Applications, International Telecommunication Union.
  • 6. JVT-Q202, (2005). Joint Scalable Video Model JSVM-4, Joint Video Team of ITU-T VCEG and ISO/IEC MPEG.
  • 7. Kirchhoffer, H., Marpe, D., Schwarz, H., Wiegand, T. (2007) A Low-Complexity Approach for Increasing the Granularity of Packet-Based Fidelity Scalability in Scalable Video Coding, Picture Coding Symposium.
  • 8. Meegan, D., Stelmach, L., Tam, W.J. (2001) Unequal Weighting of Monocular Inputs in Binocular Combination: Implications for the Compression of Stereoscopic Imagery, Journal of Experimental Psychology: Applied, 7, 143-153.
  • 9. Merkle, P., Smolic, A., Müller, K., Wiegand, T. (2007) Efficient Prediction Structures for Multi-view Video Coding, IEEE Transactions on Circuits and Systems for Video Technology, 17(11), 1461-1472.
  • 10. Ozbek, N., Tekalp, A.M. (2006) Scalable Multi-View Video Coding for Interactive 3DTV, IEEE Conference on Multimedia & Expo.

Perceptual Quality Assessment of Joint Rate Allocation in Scalable Stereo Video Coding

Year 2017, Volume: 1 Issue: 1, 24 - 33, 31.03.2017

Abstract

Rate-distortion optimized layer selection is crucial for rate adaptation in scalable stereo video coding in order to achieve a higher degree of perceptual quality for a given rate. Quality Layers Optimization (QLO) and Trellis-based Optimization (TBO) are joint rate allocation methods in Scalable Multiview Video Coding (SMVC). But TBO is simpler alternative for real-time applications with one GoP delay. The binocular suppression theory leads the research towards asymmetric stereo video coding for 3D rate scaling. In scalable stereo video coding, it is possible to allocate the total bitrate between the two views symmetrically or asymmetrically through adaptive quality enhancement layer extraction. The contribution of the paper is two-fold: First, we propose asymmetric versions of the TBO algorithm. Second, subjective quality evaluation of TBO (symmetric and asymmetric) and QLO extraction methods are performed by using Single Stimulus Multi Media (SSMM) version of Subjective Evaluation of Stereo VIdeo Quality (SESVIQ). Visual test results demonstrate that perceptual quality performance of symmetric TBO method is very similar to that of QLO in all cases. Besides, Symmetric TBO rate allocation is preferable for moderate bitrates. However, performance of asymmetric TBO extraction is superior to symmetric TBO extraction for low bitrates.

References

  • 1. Aflaki, P., Hannuksela, M.M., Hakkinen, J., Lindroos, P., Gabbouj, M. (2010) Subjective Study on Compressed Asymmetric Stereoscopic Video, IEEE Conference on Image Processing.
  • 2. Amonou, I., Cammas, N., Kervadec, S., Pateux, S. (2007) Optimized Rate-Distortion Extraction with Quality Layers in the Scalable Extension of H.264/AVC, IEEE Transactions on Circuits and Systems for Video Technology, 17(9), 1186-1193.
  • 3. Fehn, C., Kauff, P., Cho, S., Kwon, H., Hur, N., Kim, J. (2007) Asymmetric Coding of Stereoscopic Video for Transmission over T-DMB, 3DTV Conference: The True Vision – Capture, Transmission and Display of 3D Video.
  • 4. ITU-R Recommendation BT.500-11, (2002). Methodology for the Subjective Assessment of the Quality of Television Pictures, International Telecommunication Union.
  • 5. ITU-R Recommendation P.910, (2008). Subjective Video Quality Assessment Methods for Multimedia Applications, International Telecommunication Union.
  • 6. JVT-Q202, (2005). Joint Scalable Video Model JSVM-4, Joint Video Team of ITU-T VCEG and ISO/IEC MPEG.
  • 7. Kirchhoffer, H., Marpe, D., Schwarz, H., Wiegand, T. (2007) A Low-Complexity Approach for Increasing the Granularity of Packet-Based Fidelity Scalability in Scalable Video Coding, Picture Coding Symposium.
  • 8. Meegan, D., Stelmach, L., Tam, W.J. (2001) Unequal Weighting of Monocular Inputs in Binocular Combination: Implications for the Compression of Stereoscopic Imagery, Journal of Experimental Psychology: Applied, 7, 143-153.
  • 9. Merkle, P., Smolic, A., Müller, K., Wiegand, T. (2007) Efficient Prediction Structures for Multi-view Video Coding, IEEE Transactions on Circuits and Systems for Video Technology, 17(11), 1461-1472.
  • 10. Ozbek, N., Tekalp, A.M. (2006) Scalable Multi-View Video Coding for Interactive 3DTV, IEEE Conference on Multimedia & Expo.
There are 10 citations in total.

Details

Journal Section Articles
Authors

Nükhet Özbek

Publication Date March 31, 2017
Published in Issue Year 2017 Volume: 1 Issue: 1

Cite

IEEE N. Özbek, “Perceptual Quality Assessment of Joint Rate Allocation in Scalable Stereo Video Coding”, IJESA, vol. 1, no. 1, pp. 24–33, 2017.

ISSN 2548-1185
e-ISSN 2587-2176
Period: Quarterly
Founded: 2016
Publisher: Nisantasi University
e-mail:ilhcol@gmail.com