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Quick methodological question
How were the weights set for the three quality factors in the final model? Assumed uniform, correlated to survey data, forced ranking from survey data? (I've seen all three in other attempts to develop objective performance scores). And were the four potential interaction terms included in at least the early drafts of the model?
Sorry to be a nag about this, but I have seen far too many cases where Ph.D/gold data is plugged into a 9th-grade/tin model. The ability to monitor quality in a near-objective way on such a fine-grain scale is a great research tool from which everyone should be able to learn a lot -- but if the data passes through a model that isn't as good as the data, what comes out will be no better than the model, at best.
Re: Quick methodological question
JohnBarnes
8/11/2016 7:31:42 AM
User Rank Platinum
Re: Quick methodological question
Aha. After looking through the white paper, the basis for both choosing the three factors, and for weighting them equally, was asking a largish sample of viewers what most bothered them and picking the three things that got the most votes. That's a pretty good way to do a very preliminary study, but for better work over the long run, there really needs to be a followup correlating pairwise comparisons by consumers with purposely varied technical aspects (like the 3 factors but probably not restricted to them), singly and in combinations.
As it is, the engineers were mostly able to secure an agreement that the engineers would work on things that engineers like to work on because they're easy to measure and don't directly involve asking cranky, difficult people.
As the white paper notes, getting real human measures of human satisfaction is difficult and expensive. Unfortunately, for this sort of research to be a genuinely good guide in prioritizing development, it's also highly necessary.
DHagar
8/11/2016 10:15:24 PM
User Rank Platinum
Re: Quick methodological question
@JohnBarnes, it sounds as if your solid recommendation would better direct the "investments" of Huawei and their engineering team. It also appears that if they build this "research capability", along with their solutions, they would further gain market recognition and validated consumer acceptance that they are delivering services that consumers perfer.
Sounds like this is a great suggestion for a true "value proposition" for Huawei and further excellence!
Adi
8/12/2016 6:02:19 AM
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What about fixed line?
@mohamed - your article references mobile video consumption statistics - is the vMOS solution aimed only at mobile, and not fixed line? It's a complex eco-system, because while mobile networks are the most susceptible to QoE degredation, we also have challenges for fixed line video delivery. And our research suggests a lot of video consumption on mobile devices is actually via Wifi.
Adi
8/12/2016 6:11:53 AM
User Rank Author
Timeline for phase II
@mohamed - what is the timeline for the Phase II release, or is that TBD? It's clear 4K/UHD is advancing rapidly and will have an impact, and as the study group plan implies, HEVC will be an important enabler and go hand in hand. So more clarity would be beneficial sooner rather than later for the industry.
Also - is vMOS based on the ITU J 341 reccomendation? And if so, how does it play with ITU J247/J343 which I understand is a newer reccomendations for video quality?
Re: What about fixed line?
agree, it's a complex ecosystem and is hard to slice it :-)
Actually Mobile vMOS is a subset of U-vMOS or Unified vMOS. U-vMOS is the framework of video experience evaluation in general for all screens using different kinds of access: Phone, Pad; TV; PC; Camera;...
Adi
8/22/2016 8:30:41 AM
User Rank Author
Re: What about fixed line?
Ah, thanks for clarifying, Mohamed
freehe
8/27/2016 10:15:05 PM
User Rank Platinum
Re: Quick methodological question
freehe
8/27/2016 10:19:44 PM
User Rank Platinum
vMOS Aims to Give Telcos
One problem is that KPIs cannot determine if a user is actually watching the content. A user could access content but may walk away for 15-30 minutes to do somehing else, however this is still viewed or assumed that the user is actually watching the content.
Unfortunately, they will probably not be anyway to determine KPIs for accessed content vs. actually viewed content.
Video KPIs are just best estimates since the content can come from different sources, platforms and geographic locations.
I agree industry standards are needed.
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