Video Quality Control Using a ROI and Two- Component Weighted Metrics

In this paper we propose a new content-weighted
method for full reference (FR) video quality control using a region of
interest (ROI) and wherein two-component weighted metrics for Deaf
People Video Communication. In our approach, an image is
partitioned into region of interest and into region "dry-as-dust", then
region of interest is partitioned into two parts: edges and background
(smooth regions), while the another methods (metrics) combined and
weighted three or more parts as edges, edges errors, texture, smooth
regions, blur, block distance etc. as we proposed. Using another idea
that different image regions from deaf people video communication
have different perceptual significance relative to quality. Intensity
edges certainly contain considerable image information and are
perceptually significant.





References:
<p>[1] A. B. Watson, J. Hu, and J. F. McGowan, &ldquo;Dvq: A digital video quality
metric based on human vision,&rdquo; Electronic Imaging, vol.10, pp.20-29,
2001.
[2] ITU-R, &ldquo;Methodology for the subjective assessment of the quality of
television pictures,&rdquo; International Telecommunication Union &ndash;
Radiocommunication Sector, Tech. Rep. BT.500-11, 2002.
[3] J. L. Martinez, P. Cuenca, F. Delicado and F. Quiles, &ldquo;Objective video
quality metrics: A performance analysis,&rdquo; in Proc EUSIPCO Proc.,
Florence, 2006.
[4] J. L. Li, G. Chen, and Z. R. Chi, &ldquo;Image coding quality assessment
using fuzzy integrals with a three-component image model,&rdquo; IEEE
Trans. Fuzzy Syst., vol. 12, pp. 99&ndash;106, 2004.
[5] F.Mak&aacute;ň: Elektroacoustics (in Slovak), Publisher STU Bratislava, 1995.
[6] Ch. Li, A. C. Bovik, &ldquo;Content - weighted video quality assessment
using a three - component image model.&rdquo; In: Journal of Electronic
Imaging, vol. 19, 2010, no.1, pp. 011003 - 1 &ndash; 011003 - 9.
[7] Beniak, M., Pavlovičov&aacute;, J., Oravec, M., &quot;3D Chrominance Histogram
Based Face Localization&quot;, In: Int. Journal of Signal and Imaging
Systems Engineering (IJSISE), Vol. 4, No.1 pp. 3 - 12, 2011,
www.inderscience.com/ijsise
[8] Ban, Jozef - Pavlovičov&aacute;, Jarmila - F&eacute;der, Matej - Omelina, Ľubo&scaron; -
Oravec, Milo&scaron;: Face Recognition Methods for Multimodal Interface. In:
Proceedings of 2012 5th Joint IFIP Wireless and Mobile Networking
Conference: Bratislava, Slovakia, September 19-20, 2012. - Piscataway:
IEEE, 2012. - ISBN 978-1-4673-2994-1. - S. 110-113
[9] P. Heribanov&aacute;, J. Polec, J. Poctavek, A. Mordelov&aacute;: &quot;Intelligibility
Threshold for Cued Speech in H.264 Video Conference&quot;. In:
International Journal of Electronics and Telecommunications. - ISSN
0867-6747. - Vol. 57, Iss. 3 2011, pp. 383-387
[10] Tarcsiov&aacute;, D.: The communication system for deaf and ways to
overcome their communication barriers. (In Slovak) Sapientia:
Bratislava, 2005. ISBN 80-69112-7- 9.</p>