Abstract: A quality estimation system for estimating DL throughput at user terminals which are connected to a wireless network, includes: acquisition means for acquiring at least terminal information, wireless reception quality information and network quality information from a plurality of user terminals; coefficient derivation means for deriving coefficients in an estimation equation in which the DL throughput is an objective variable and at least the wireless reception quality information and the network quality information are explanatory variables, based on the information acquired by the acquisition means; and estimation means for estimating DL throughput corresponding to measurement data from the measurement data using the estimation equation with application of the coefficients.

Abstract: A mathematical model deriving apparatus includes an encoding unit that generates a plurality of deteriorated videos after encoding an original video, in accordance with a plurality of combinations of a plurality of encoding parameters for a codec setting, a quality estimation unit that calculates a quality estimation value of each of the plurality of deteriorated videos, and a deriving unit that outputs video quality in response to the plurality of encoding parameters as input and derives a coefficient of a mathematical model in accordance with the quality estimation value and the plurality of combinations of the plurality of encoding parameters. This allows for deriving a mathematical model capable of evaluating quality according to a codec setting.

Abstract: A quality estimation apparatus includes: an acquisition unit configured to acquire quality information including QoEs and quality index values collected on a user terminal in a wireless network environment; and a construction unit configured to classify the QoEs and quality index values according to area attributes, the QoEs and quality index values being acquired by the acquisition unit, and construct QoE estimation models according to the respective area attributes using the QoEs and quality index values for the respective area attributes.

Abstract: A quality estimation system for estimating DL throughput at user terminals which are connected to a wireless network, includes: acquisition means for acquiring at least terminal information, wireless reception quality information and network quality information from a plurality of user terminals; coefficient derivation means for deriving coefficients in an estimation equation in which the DL throughput is an objective variable and at least the wireless reception quality information and the network quality information are explanatory variables, based on the information acquired by the acquisition means; and estimation means for estimating DL throughput corresponding to measurement data from the measurement data using the estimation equation with application of the coefficients.

Abstract: An audio quality estimation apparatus includes an audio packet loss frequency calculation unit (11) which, when at least one audio packet to be assessed exists in singly or continuously generated IP packet losses, calculates an audio packet loss frequency based on information of received IP packets by counting the packet losses as an audio packet loss of one time regardless of the continuous length, an average influence time calculation unit (12) which calculates, based on information of received IP packets, an average influence time serving as an average time during which audio quality is influenced when the audio packet loss frequency is 1, and a subjective quality assessment value estimation unit (22) which estimates a subjective quality assessment value based on the audio packet loss frequency and average influence time.

Abstract: An audio quality estimation apparatus includes an audio packet loss frequency calculation unit (11) which, when at least one audio packet to be assessed exists in singly or continuously generated IP packet losses, calculates an audio packet loss frequency based on information of received IP packets by counting the packet losses as an audio packet loss of one time regardless of the continuous length, an average influence time calculation unit (12) which calculates, based on information of received IP packets, an average influence time serving as an average time during which audio quality is influenced when the audio packet loss frequency is 1, and a subjective quality assessment value estimation unit (22) which estimates a subjective quality assessment value based on the audio packet loss frequency and average influence time.