Unified end-to-end quality and latency measurement, optimization and management in multimedia communications
Correlated quality-of-experience (QoE) and latency measures are generated at a plurality of monitoring points along a multimedia delivery chain including multiple video operations. At each of the plurality of monitoring points, an absolute QoE measure defined on a human perceptual quality scale for media content is computed, and one or more of content extraction or feature extraction on the media content are performed. To a common middleware from each of the plurality of monitoring points, the respective QoE measure and results of the one or more of content extraction or feature extraction are transmitted. Computing and updating an absolute QoE measure for each of the plurality of monitoring points is performed. Computing and updating latencies between multiple monitoring points at the middleware using the results from each of the plurality of monitoring points is also performed.
1. A method for optimizing streaming over a multimedia delivery chain, comprising:
receiving per-segment per-profile Quality-of-Experience (QoE) measures by a common middleware, the common middleware being in communication with a plurality of viewer devices, the QoE measures being measured for a plurality of video profiles, the QoE measures being predictive of human perception of the quality of the media content if experienced at the respective viewer device, each profile having a different resolution and/or framerate;
receiving, from the plurality of viewer devices, viewer status information on a per-segment basis;
synchronizing the per-segment per-profile QoE measures with the viewer status information for each of the plurality of viewer devices; and
making adaptive streaming decisions on profile selections for one or more of the plurality of viewer devices by the common middleware on a per-segment basis.
2. The method of claim 1 , further comprising sending streaming update messages to one or more of the plurality of viewer devices according to the adaptive streaming decisions, to cause one or more of the plurality of viewer devices to fetch a best profile for a next segment to maximize QoE at the respective viewer devices or to optimize rate-distortion performance of the respective viewer devices.
3. The method of claim 1 , wherein the per-segment per-profile QoE measures received by the common middleware are aggregated in a manifest file.
4. The method of claim 1 , wherein viewer status includes one or more of: a manifest file, a video stream ID, a segment ID, a network bandwidth estimation, a buffer condition, a viewing device display type, or physical device parameters of a respective one of the plurality of viewer devices.
5. The method of claim 1 , further comprising optimizing resource allocation across the plurality of viewer devices to improve overall average QoE of the plurality of viewer devices.
6. The method of claim 1 , further comprising optimizing resource allocation across the plurality of viewer devices based on levels of services to which the plurality of viewer devices are subscribed.
7. The method of claim 1 , further comprising displaying a report of the QoE measures of the plurality of viewer devices as collected, the report indicating the QoE measures according to one or more of time span, geo-location, media asset, program, or asset type.
8. The method of claim 3 , wherein the manifest file is a Moving Picture Experts Group-Dynamic Adaptive Streaming over Hypertext Transfer Protocol (MPEG-DASH) media presentation description.
9. A system for optimizing streaming over a multimedia delivery chain, comprising:
a common middleware, in communication with a plurality of viewer devices, configured to
receive per-segment per-profile QoE measures, the QoE measures being measured for a plurality of video profiles, the QoE measures being predictive of human perception of the quality of the media content if experienced at the respective viewer device, each profile having a different resolution and/or framerate;
receive, from the plurality of viewer devices, viewer status information on a per-segment basis;
synchronize the per-segment per-profile QoE measures with the viewer status information for each of the plurality of viewer devices; and
make adaptive streaming decisions on profile selections for one or more of the plurality of viewer devices by the common middleware on a per-segment basis.
10. The system of claim 9 , wherein the common middleware is further configured to send streaming update messages to one or more of the plurality of viewer devices according to the adaptive streaming decisions, to cause one or more of the plurality of viewer devices to fetch a best profile for a next segment to maximize QoE at the respective viewer devices or to optimize rate-distortion performance of the respective viewer devices.
11. The system of claim 9 , wherein the per-segment per-profile QoE measures received by the common middleware are aggregated in a manifest file.
12. The system of claim 9 , wherein viewer status includes one or more of: a manifest file, a video stream ID, a segment ID, a network bandwidth estimation, a buffer condition, a viewing device display type, or physical device parameters of a respective one of the plurality of viewer devices.
13. The system of claim 9 , wherein the common middleware is further configured to optimize resource allocation across the plurality of viewer devices to improve overall average QoE of the plurality of viewer devices.
14. The system of claim 9 , wherein the common middleware is further configured to optimize resource allocation across the plurality of viewer devices based on levels of services to which the plurality of viewer devices are subscribed.
15. The system of claim 9 , wherein the common middleware is further configured to display a report of the QoE measures of the plurality of viewer devices as collected, the report indicating the QoE measures according to one or more of time span, geo-location, media asset, program, or asset type.
16. The system of claim 11 , wherein the manifest file is a Moving Picture Experts Group-Dynamic Adaptive Streaming over Hypertext Transfer Protocol (MPEG-DASH) media presentation description.
17. A non-transitory medium comprising instructions for optimizing streaming over a multimedia delivery chain that, when executed by a common middleware, in communication with a plurality of viewer devices, cause the common middleware to perform operations including to:
receive per-segment per-profile QoE measures, the QoE measures being measured for a plurality of video profiles, the QoE measures being predictive of human perception of the quality of the media content if experienced at the respective viewer device, each profile having a different resolution and/or framerate;
receive, from the plurality of viewer devices, viewer status information on a per-segment basis;
synchronize the per-segment per-profile QoE measures with the viewer status information for each of the plurality of viewer devices; and
make adaptive streaming decisions on profile selections for one or more of the plurality of viewer devices by the common middleware on a per-segment basis.
18. The medium of claim 17 , wherein the common middleware is further configured to send streaming update messages to one or more of the plurality of viewer devices according to the adaptive streaming decisions, to cause one or more of the plurality of viewer devices to fetch a best profile for a next segment to maximize QoE at the respective viewer devices or to optimize rate-distortion performance of the respective viewer devices.
19. The medium of claim 17 , wherein the per-segment per-profile QoE measures received by the common middleware are aggregated in a manifest file.
20. The medium of claim 17 , wherein viewer status includes one or more of: a manifest file, a video stream ID, a segment ID, a network bandwidth estimation, a buffer condition, a viewing device display type, or physical device parameters of a respective one of the plurality of viewer devices.
21. The medium of claim 17 , wherein the common middleware is further configured to optimize resource allocation across the plurality of viewer devices to improve overall average QoE of the plurality of viewer devices.
22. The medium of claim 17 , wherein the common middleware is further configured to optimize resource allocation across the plurality of viewer devices based on levels of services to which the plurality of viewer devices are subscribed.
23. The medium of claim 17 , wherein the common middleware is further configured to display a report of the QoE measures of the plurality of viewer devices as collected, the report indicating the QoE measures according to one or more of time span, geo-location, media asset, program, or asset type.
24. The medium of claim 19 , wherein the manifest file is a Moving Picture Experts Group-Dynamic Adaptive Streaming over Hypertext Transfer Protocol (MPEG-DASH) media presentation description.