Invention Grant
- Patent Title: System and method for machine learning based QoE prediction of voice/video services in wireless networks
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Application No.: US17155864Application Date: 2021-01-22
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Publication No.: US11748643B2Publication Date: 2023-09-05
- Inventor: Per Johansson , Irina Cotanis
- Applicant: InfoVista Sweden AB
- Applicant Address: SE Skellefteå
- Assignee: Info Vista Sweden AB
- Current Assignee: Info Vista Sweden AB
- Current Assignee Address: SE Skellefteå
- Agency: Womble Bond Dickinson (US) LLP
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06N5/048 ; H04L65/80 ; G06N20/00 ; H04L41/147 ; H04L41/14 ; H04L41/142 ; H04L65/65 ; H04L43/087

Abstract:
A framework system and method for developing hybrid voice/video QoE predictors, which use both network/codec/client parameters as well as the voice/video reference sample(s). The prediction model/algorithm uses deep packet inspection to produce relevant input and therefore the network's impact on the voice/video QoE can be determined without recording actual media (voice/video) content. Therefore, the QoE predictors are neither solely media based as available perceptual metrics, nor available parametric based. The present hybrid voice/video QoE uses the reference/original media information, unlike prior art hybrid video only QoE which use the recorded media (video only).
Public/Granted literature
- US20210150393A1 System and Method for Machine Learning Based QoE Prediction of Voice/Video Services in Wireless Networks Public/Granted day:2021-05-20
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