Avvasi
Inc., the world’s only vendor of QoE-driven video management and
monetization solutions, today announced that it has completed extensive
testing of its QoE measurement and management solutions in conjunction
with University
of Texas at Austin (UTA) LIVE (Laboratory for Image and Video
Engineering). LIVE is directed by Professor Alan C. Bovik and is a
leading lab for image and video quality assessment, including subjective
testing and modeling. The lab is responsible for inventing the
Structural Similarity (SSIM) index, a full-reference metric used
throughout the cable television industry to ensure that products and
infrastructure deliver the best possible video quality. LIVE is one of
five global labs sponsored by the Video-Aware Wireless Networks (VAWN)
research project between Cisco
(NASDAQ: CSCO), Intel
(NASDAQ: INTC) and Verizon Wireless (NASDAQ: VZ), focusing on measuring
and managing QoE for streaming video over wireless networks. With
Avvasi, LIVE has developed and conducted a major independent subjective
study of the dominant impairments of streaming video today.
Al Bovik, director of the LIVE lab commented: “Delivering mobile video
while managing Quality of Experience is complex. LIVE’s applied research
programs in image and video processing and long track record in
subjective quality assessment and modeling enabled us to conduct this
unique study. Avvasi’s QoE models show a high correlation with the
results of this study.”
Avvasi’s technology, deployed in Q-VUE, the leading mobile video QoE
measurement tool and Q-SRV, the leading video QoE management video
service gateway, achieved 89% accuracy (Pearson Correlation) over all
tests. These results are at the leading edge for no-reference models in
this domain.
“Subjective testing is a requirement to validate and fine tune any
perceptual quality metric. Avvasi has conducted multiple subjective
studies around video QoE and we are the first company to validate our
technology against the LIVE dataset,” comments Dr. Michael Gallant, CTO
of Avvasi. “Working with LIVE has validated that this technology is
highly credible, which means that Q-VUE and Q-SRV are leading solutions
for wireless service providers to measure and manage mobile video QoE.
Avvasi is committed to contributing to the industry’s mobile video value
chain by delivering leading-edge products, technologies and research
programs.”
Avvasi will continue to work with UTA to publish the results of this
study and to collaborate on further improvements to its perceptual
models. Follow-on studies of relevance to wireless service providers are
being developed and will be made available by UTA and Avvasi throughout
the project.
For more information about Avvasi, the testing methodology or to request
a copy of a recent white paper prepared by Yankee Group entitled:
“Monetizing Mobile Video: MNOs Get Back in the Value Chain,” please
visit www.avvasi.com/request/.
About LIVE:
The Laboratory for Image and Video Engineering (LIVE) at UTA is the
leading lab for image and video quality assessment, including subjective
testing and modeling. LIVE is the developer of the LIVE 2D and 3D Image
and Video Quality Databases which is the de facto for video quality
measurement testing. LIVE is a driving force in the development of new
no-reference image and video quality models, publishing over 600
technical articles and several books in the area.
About Alan C. Bovik:
Alan Conrad Bovik is the Keys and Joan Curry/Cullen Trust Endowed Chair
at The
University of Texas at Austin, where he is a Professor in the Department
of Electrical and Computer Engineering, the Department of Computer
Sciences, and the Department
of Biomedical Engineering.
He is the Director of the Laboratory
for Image and Video Engineering (LIVE) in the Center
for Perceptual Systems. He is well known as the inventor or
co-inventor of Order Statistic Filters; the Gabor Texture Model; the
Image Modulation Model; the Structural Similarity (SSIM) and Visual
Information Fidelity (VIF) Indices for image quality assessment, the
LIVE Image Quality Database, and SIVA - the Signal, Image and Video
Audiovisual Demonstration Gallery (used by more than 300 sites around
the world), as well as many other contributions to the fields of image
and video processing, computational vision, digital microscopy, and
modeling of biological visual perception. He has published over 450
technical articles in these areas and holds two U.S. patents. He is also
the author of The Handbook of Image and Video Processing, Second Edition
(Elsevier Academic Press, 2005) and of Modern Image Quality Assessment
(Morgan & Claypool, 2006).
About Avvasi Inc.
Avvasi enables QoE-driven measurement, improvement and monetization of
the video experience, and is the industry reference in mobile video QoE
measurement and OTT video experience management. Avvasi provides
operators with the tools to become Video Service Providers, enabling
profitable participation in the value chain for mobile video delivery.
Service providers around the globe are deploying Avvasi’s solutions to
measure, improve and monetize mobile video in their networks. To learn
how, visit avvasi.com.
Copyright Business Wire 2013