Abstract: In estimating subjective video quality corresponding to main parameters (121/221) which are input as an input coding bit rate (121B/221B) representing the number of coding bit rates per unit time and an input frame rate (121A/221A) representing the number of frames per unit time of an audiovisual medium, an estimation model specifying unit specifies, on the basis of the input coding bit rate (121B/input frame rate (221A)), an estimation model (122/222) representing the relationship between subjective video quality and the frame rate (/coding bit rate) of the audiovisual medium. Subjective video quality corresponding to the input frame rate (121A/input coding bit rate 221B) is estimated by using the specified estimation model (122/222) and output as an estimation value (123/223).

Abstract: In estimating subjective video quality corresponding to main parameters (21) which are input as an input frame rate (21A) representing the number of frames per unit time, an input coding bit rate (21B) representing the number of coding bits per unit time, and an input packet loss rate (21C) representing a packet loss occurrence probability of an audiovisual medium, a degradation model specifying unit (12) specifies a degradation model (22) representing the relationship between the packet loss rate and the degradation in reference subjective video quality (23) on the basis of the input frame rate (21A) and input coding bit rate (21B). A desired subjective video quality estimation value (24) is calculated by correcting the reference subjective video quality on the basis of a video quality degradation ratio corresponding to the input packet loss rate (21C) calculated by using the degradation model (22).

Abstract: A multi-modal quality estimation unit (11) estimates a multi-modal quality value (23A) on the basis of an audio quality evaluation value (21A) and a video quality evaluation value (21). In addition, a delay quality degradation amount estimation unit (12) estimates a delay quality degradation amount (23B) on the basis of an audio delay time (22A) and a video delay time (22B). A video communication quality estimation unit (13) estimates a video communication quality value (24) on the basis of a multi-modal quality value (23A) and a delay quality degradation amount (23B).