CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

A Novel Prioritised Concealment and Flexible Macroblock Ordering Scheme for Video Transmission

by T. P. Fowdur, D. Indoonundon, K. M. S Soyjaudah
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 150 - Number 6
Year of Publication: 2016
Authors: T. P. Fowdur, D. Indoonundon, K. M. S Soyjaudah
10.5120/ijca2016911554

T. P. Fowdur, D. Indoonundon, K. M. S Soyjaudah . A Novel Prioritised Concealment and Flexible Macroblock Ordering Scheme for Video Transmission. International Journal of Computer Applications. 150, 6 ( Sep 2016), 35-42. DOI=10.5120/ijca2016911554

@article{ 10.5120/ijca2016911554,
author = { T. P. Fowdur, D. Indoonundon, K. M. S Soyjaudah },
title = { A Novel Prioritised Concealment and Flexible Macroblock Ordering Scheme for Video Transmission },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 150 },
number = { 6 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 35-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume150/number6/26100-2016911554/ },
doi = { 10.5120/ijca2016911554 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:55:14.732620+05:30
%A T. P. Fowdur
%A D. Indoonundon
%A K. M. S Soyjaudah
%T A Novel Prioritised Concealment and Flexible Macroblock Ordering Scheme for Video Transmission
%J International Journal of Computer Applications
%@ 0975-8887
%V 150
%N 6
%P 35-42
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Video compression standards such as H.264/AVC and H.265/HEVC are widely used in applications such as video conferencing, streaming and television broadcasting. These compression standards have been ubiquitously adopted due to their high compression performance as compared to previous standards. However, compressed video may suffer from severe degradation during transmission over unreliable channels due to packet losses which can result in low Quality of Service (QoS). In this paper, a new Space Time Flexible Macroblock Ordering (ST-FMO) scheme is proposed which considers both spatial and temporal re-mapping of Macroblocks(MBs) within a Group of Pictures (GOP). Moreover, a new prioritisation method to determine the concealment order of lost blocks is proposed. The new method uses the autocorrelation function as a measure to determine which blocks should be concealed first. The combined application of the novel ST-FMO and prioritisation scheme provides average gains of over of 2.34 dB over a conventional scheme and 1.11 dB over an existing FMO and prioritisation scheme.

References
  1. Wiegand, T. 2003. Draft ITU-T Recommendation and Final Draft International Standard of Joint Video Specification (ITU-T Rec. H.264 |ISO/IEC 14496-10AVC, ITU-T Rec.H.264 | ISO/IEC 14496-10AVC.
  2. Bross, B. Han, W. J. Ohm, J. R. Sullivan, G. J. and Wiegand, T. 2012. High Efficiency Video Coding (HEVC) Text Specification Draft 9, Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29/WG 11, document JCTVC-K1003, Shanghai, China.
  3. Khan, I. U. Ansari, M. A. Yadav, A. Saeed, S. H. 2015. Performance analysis of H.264 video decoder: Algorithm and applications. In International Conference on Energy Economics and Environment (ICEEE), September 2015, 1 - 6.
  4. Wang, H. 2009. 4G wireless video communications, Wiley, Chichester, U.K.
  5. Kumar, U. Oyman, O. 2013. QoE Evaluation for Video Streaming over eMBMS. In International Conference on Computing, Networking and Communications.
  6. Mathew, D. and Binish, M.C. 2015. A Fast Intra Prediction for H.264/AVC Based on SATD and Prediction Direction. In International Conference on Emerging Trends in Engineering, Science and Technology, 2015, vol.24, 1016–1023.
  7. Incident Communication Solutions, “Implications of 4G LTE for First Responders,” url:http://incidentcommunications.com/blog/4G-LTE%20-First-Responders
  8. Fowdur, T. Indoonundon, D. Soyjaudah, S. 2014. An enhanced framework for H.264 video transmission with joint prioritisation of retransmission and concealment order. In 9th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014, 634-639.
  9. Al-Jobouri, L. Ali, I. A. Fleury, M. and Ghanbari, M. 2015. Error and Congestion Resilient Video Streaming over Broadband Wireless. In Computers, 2015,vol.4, 113-141.
  10. Rani, U. and Somashekar, K. 2015. An Enhanced Scheme of Video Transmission Using Priority Based Fuzzy Scheduling in Wimax. In International Journal of Electrical and Electronics Research, 2015, vol.3, 126-130.
  11. Chen, H. Han, Z. Hu, R. and Ruan, R. 2008. Adaptive FMO selection strategy for error resilient H.264 coding. In International Conference On Audio, Language And Image Processing IEEE, 2008, 868 – 872.
  12. Psannis, K. Ishibashi, Y. 2008. “Efficient Flexible Macroblock Ordering Technique,” IEICE Transactions On Communications, vol.8, 2692-2701. doi:10.1093/ietcom/e91-b.8.2692.
  13. Shanableh, T. 2012. “Data Hiding in MPEG Video Files Using Multivariate Regression and Flexible Macroblock Ordering,” IEEE Trans. Inform. Forensic Secur., (April 2012),vol.7, 455-464. doi:10.1109/tifs.2011.2177087.
  14. Thi Huong, T. N. and Huu, T. V. 2015. An improved technique using FMO for error propagation resilience in H.264 video coding. In Information and Computer Science, 2015 2nd National Foundation for Science and Technology, 225-228.
  15. Dhondt, Y. Lambert, P. and Van de Wall, R. 2006. A flexible macroblock scheme for unequal error protection. In Proceedings of the IEEE International Conference on Image Processing, 2006, 829–832.
  16. Zhou, F. Xu, W. and Chen Y. 2013. A Novel Error Concealment Method based on Adaptive Ordering of Block Match. In Proceedings of the 3rd International Conference on Multimedia Technology Volume 278 of the series Lecture Notes in Electrical Engineering, vol.278, 305-314.
  17. Dhondt, Y. Lambert, P. Notebaert, S. and Van de Walle, R. 2005. Flexible macroblock ordering as a content adaptation tool in H.264/AVC. In Proceedings of SPIE, vol. 6015, 44-52.
  18. Dhondt, Y. and Lambert, P. 2004. Flexible Macroblock Ordering an error resilience tool in H.264/AVC, PhD Symposium, Faculty of Engineering, Ghent University.
  19. Gilbert, E. N. 1960. Capacity of a Burst-Noise Channel, Bell System Technical Journal, vol.39, 1253-1265.doi:10.1002/j.15387305.1960.tb03959.x.
  20. Elliott, E. O. 1963.Estimates of Error Rates for Codes on Burst-Noise Channels, Bell System Technical Journal, vol.42, 1977-1997. doi:10.1002/j.1538-7305.1963.tb00955.x.
  21. Zheng, J. and Chau, L. P. 2004. A temporal error concealment algorithm for (H.264) using Lagrange interpolation. In Proceedings of the 2004 International Symposium on Circuits and Systems, ISCAS 04 , 133–136.
  22. Karapetyan G. and Sarukhanyan, H. 2012. On a Modification of the Frequency Selective Extrapolation method. In Information Models and Analyses, vol.1, 139 – 145.
  23. K. Thyagarajan, 2010. Still Image and Video Compresion with Matlab, A John Wiley & Sons, INC., Publication, 301-305.
Index Terms

Computer Science
Information Sciences

Keywords

Video Compression ST-FMO Prioritisation Concealment.

Powered by PhDFocusTM