Abstract:
Provided is a service quality of experience (QoE) predicting and managing system. The service QoE predicting and managing system may include a media quality measurement system (MQMS) to measure a QoE of media, and a quality of service (QoS)/QoE control system (QCS) to measure QoS parameter information, to predict the QoE based on the measured QoS information, to calculate a QoS parameter adjustment value by comparing and analyzing the QoE measured by the MQMS and the predicted QoE, and to transmit the calculated QoS parameter adjustment value to a service quality control system (SCS).
Abstract:
Provided is a method of assessing an image quality of each of a base layer and an enhanced layer using a different scheme to assess a quality of a multi-level video based on assessment results. A multi-level video quality assessing system includes: a bitstream extractor to separate a multi-level video into a base layer bitstream and an enhanced layer bitstream; a base layer quality assessment module to generate quality assessment result information of a base layer image by assessing an image quality of base layer bitstream; an enhanced layer quality assessment module to generate quality assessment result information of an enhanced layer image by assessing an image quality of enhanced layer bitstream; and a final video quality assessment module to assess a quality of experience (QoE) of multi-level video based on quality assessment result information of each of the base layer image and the enhanced layer image.