Signal Processing - September 2016 - 172

group, and it has been determined that
the performance of IVC is comparable
with the AVC high profile. The next
steps are to push this standard into the
market and investigate new royalty-free
technologies for the next version of IVC.
It is anticipated that as existing patents
for video coding tools expire, these tools
may be added to IVC, further improving
its performance.

Resources
MPEG resources
The MPEG homepage (http://wg11.sc29.
org/) provides information on its past and
present meeting documents. All of the
input contributions and output documents
of IVC can be found on the website.

Open documents
The website, http://mpeg.chiariglione.
org/standards/mpeg-4/internet-videocoding, has links to all IVC opened publications. The IVC working documents
are available, including the CD text, test
models, performance reports, and prior
art techniques related to IVC.

Acknowledgments
This article is partly supported by the
National Natural Science Foundation
of China 61370115, China 863 project
of 2015AA015905, Shenzhen Peacock
Plan and JCYJ20150331100658943,
JCYJ20160506172227337, and Guangdong Province Project 2014B010117007.

Authors
Ronggang Wang (rgwang@pkusz.edu.
cn) is an associate professor at Peking
University Shenzhen Graduate School.
He is a cochair of the IVC AhG group.
Tiejun Huang (tjhuang@pku.edu.cn)
is a professor at Peking University. He is
an active proponent for the IVC project.
Sang-hyo Park (foriamweak@gmail.
com) is a Ph.D. student at Hanyang
University.
Jae-Gon Kim (jgkim@kau.ac.kr) is an
associate professor at Korean Aerospace
University.
Euee S. Jang (esjang@hanyang.ac.
kr) is a professor at Hanyang University.
He is a cochair of the IVC AhG group.
Cliff Reader (cliff@reader.com) is an
adjunct professor at Peking University.
Wen Gao (wgao@pku.edu.cn) is a
professor at Peking University.

References

[1] ISO/IEC, Call for Proposals (CfP) for Internet
Video Coding Technologies, ISO/IEC JTC1/SC29/
WG11 N12204, July 2011.
[2] K. Kolarov, D. Singer, D. Benham, G. Jouret, T.
Wiegand, L. Winger, S. Botzko, J. Sampedro, and
G. Martin-Cocher, Joint Response to Call for
Proposals (Cf P) for Internet Video Coding
Technologies, ISO/IEC JTC1/SC29/WG11/M22492,
Nov. 2011.
[3] H. Alvestrand, A. Grange, J. Luther, L. Bivolarski,
and M. Raad, Google Inc.'s Response to the CfP on
Internet Video Technologies, ISO/IEC JTC1/SC29/
WG11 MPEG2013/M 29693, July 2013.
[4] R. Wang, X. Zhang, H. Lv, Z. Wang, X. Zhu, J.
Chen, S. Ma, T. Huang, Y. He, and L. Yu, Ciff Reader,
Wen Gao, RFM2.0 for Internet Video Coding, ISO/
IEC JTC1/SC29/WG11 MPEG2012/M26716, Oct.
2012.

[5] K. Choi and E. S. Jang, "Royalty-free video coding standards in MPEG," IEEE Signal Processing
Mag., vol. 31, no. 1, pp. 145-148, Jan. 2014.
[6] B. Vittorio, Report of Expert Viewing Visual Test
of Internet Video Coding, ISO/IEC JTC1/SC29/
WG11 MPEG2015/N15428, June 2015.
[7] G. Bjontegaard, "Improvements to the Telenor
Proposal for H.26L: More Block sizes for Prediction and
RD Constrained Quantization of Transform Co efficients," ITU: Telecommunications Standardization
Sector, STUDY GROUP 16, Video Coding Experts
Group (Question 15), Q15-H-10, 1999.
[8] W.-K. Cham, "Development of integer cosine transforms by the principle of dyadic symmetry," Proc. Inst.
Elect. Eng., Pt. 1, vol. 136, no. 4, pp. 276-282, 1989.
[9] C.-T. Chen, "Adaptive transform coding via
quadtree-based variable block size DCT," in Proc.
Int. Conf. Acoustics, Speech, Signal Processing,
Glasgow, 1989, vol. 3, pp. 1854-1857.
[10] G. J. Sullivan, "Multi-hypothesis motion compensation for low bit-rate video coding," in Proc. IEEE
Int. Conf. Acoustics, Speech, Signal Processing, 1993,
pp. 437-440.
[11] C. E. Duchon, "Lanczos filtering in one and two
dimensions," J. Appl. Meteorol., vol. 18, no. 8, pp.
1016-1022, Aug. 1979.
[12] S.-H. Lee, S. Park, and E. S. Jang, Improved Set
of Reference Frames for Internet Video Coding
(IVC), ISO/IEC JTC1/SC29/WG11 MPEG2015/
m35748, Feb. 2015.
[13] X. Zhang, Y. Tian, R. Wang, T. Tian, et al.,
Adaptive Non-reference P Optimization for Internet
Video Co ding, ISO/ I E C J TC1/SC29/ WG11
MPEG2012/M27964, Jan. 2013.
[14] Q. Yu, W. Yu, P. Yang, J. Zheng, X. Zheng, and
Y. He, "An efficient adaptive binary arithmetic coder
based on logarithmic domain," IEEE Trans. Image
Processing, vol. 24, no. 11, pp. 4225-4239, Nov.
2015.
[15] M. Honjo, "Method of correcting an image signal
decoded in block units," U.S. Patent 5337088, Aug. 1993.
[16] MPEG Video, "Conditions for visual comparison
of VCB, IVC and WVC codecs," MPEG 106, Geneva,
Switzerland, Output Doc. N13943, Nov. 2013.
[17] G. Bjøntegaard, "Calculation of average PSNR differences between RD-Curves," ITU-Telecommunication
Standard, Austin, TX, Doc. SG16 Q.6, VCEG-M33,
Apr. 2001.

sP

errata

I

n the article, "Bayesian Machine Learning: EEG/MEG Signal Processing Measurements" [1], the authors regret that
the original acknowledgement of funding
support from the National Natural Science
Foundation of China was incorrect.

Digital Object Identifier 10.1109/MSP.2016.2585746
Date of publication: 2 September 2016

172

The correct acknowledgement as
per Wei Wu is as follows: Wei Wu acknowledges support from the 973 Program of China (2015CB351703), the 863
Program of China (2012AA011601),
the National Natural Science Foundation of China (61403144), the Guangdong Natural Science Foundation
(2014A030312005 and S2013010013445),
IEEE Signal Processing Magazine

|

September 2016

|

and the Steven and Alexandra Cohen
Foundation.
The authors apologize for any confusion this may have caused.

Reference

[1] W. Wu, S. Nagarajan, and Z. Chen, "Bayesian
machine learning: EEG/MEG signal processing measurements," IEEE Signal Processing Mag., vol. 33,
no. 1, pp. 14-36, Jan. 2016.
sP
http://www.wg11.sc29 http://www.mpeg.chiariglione
Table of Contents for the Digital Edition of Signal Processing - September 2016
