Abstract: A control apparatus includes an acquisition unit that acquires application information related to at least one of a plurality of sessions at a plurality of timings for each of the plurality of sessions related to a plurality of types of applications that are communicating in a network, a search unit that searches for an allocation band of each of the plurality of sessions at the plurality of timings based on a QoE prediction value of each of the plurality of sessions derived from the application information and a condition for a band of the network, and a control unit that controls allocation of a band for each of the plurality of sessions at the plurality of timings based on the allocation band searched by the search unit.

Abstract: An object is to provide possible web quality estimation for changes in network quality without simulating each combination of network qualities or acquiring operation log information in advance. One aspect of the present invention is a web quality estimation device that estimates web quality which is a processing time of a web content, based on input of a content identifier of the web content and one or more network qualities, and includes: a content characteristic storage unit that stores correspondence information between a content identifier for identifying a web content and one or more content characteristics for a plurality of web contents; and a web quality estimation unit that receives input of a content identifier and one or more network qualities, refers to the corresponding information to acquire one or more content characteristics corresponding to the input content identifier, and estimates web quality from the one or more content characteristics and the input one or more network qualities.

Abstract: An engagement estimation device includes an engagement estimation unit which calculates an estimated value of an index for assessing engagement of a viewer of a video at a certain elapsed time from a start of playback of the video distributed via a network, and the engagement estimation unit calculates the estimated value such that, in the case where the playback of the video is stopped at the certain elapsed time, the stop of the playback influences the estimated value more significantly than in the case where the playback of the video is not stopped at the certain elapsed time.

Abstract: An object is to provide possible web quality estimation for changes in network quality without simulating each combination of network qualities or acquiring operation log information in advance. One aspect of the present invention is a web quality estimation device that estimates web quality which is a processing time of a web content, based on input of a content identifier of the web content and one or more network qualities, and includes: a content characteristic storage unit that stores correspondence information between a content identifier for identifying a web content and one or more content characteristics for a plurality of web contents; and a web quality estimation unit that receives input of a content identifier and one or more network qualities, refers to the corresponding information to acquire one or more content characteristics corresponding to the input content identifier, and estimates web quality from the one or more content characteristics and the input one or more network qualities.

Abstract: A quality-of-experience optimization system configured to optimize quality (QoE: Quality of Experience) that a user experiences in a content distribution service, including: a recommend request apparatus configured to output a distribution parameter candidate of content distribution for optimizing QoE of content distribution, and to receive a distribution parameter for optimizing the QoE as a recommend value; and a quality-of-experience optimization apparatus configured to estimate QoE from the distribution parameter candidate received from the recommend request apparatus, and to calculate a distribution parameter for optimizing the QoE as a recommend value to output the recommend value.

Abstract: A communication-speed-limited user extraction apparatus for extracting a user whose communication speed is limited based on communication histories includes a communication history storage unit configured to store the communication histories including throughput information on a user-by-user basis; and a communication-speed-limited user determination unit configured to extract a communication history with a same communication environment at a communication date and time within a predetermined period of time from the communication history storage unit and determine that a user with a different throughput distribution is the user whose communication speed is limited.

Abstract: A delivery rate selection device, for selecting a delivery rate when delivering a video image from a video delivery server to a client in a video delivery service. When a delivery rate calculating unit receives from an inquiry source an inquiry of delivery rate for delivering a video image to a given user, a delivery rate calculating unit acquires presence or absence of a playback stall tolerance and presence or absence of an image quality deterioration tolerance of the given user from the user characteristic storage unit, selects an encoding rate from a plurality of encoding rates of the video image according to a combination of the presence or absence of a playback stall tolerance and the presence or absence of an image quality deterioration tolerance of the given user, and returns the selected encoding rate as the delivery rate to the inquiry source.

Abstract: A communication speed estimation apparatus configured: to generate communication log information representing history of communication executed by a user, and store the communication log information in a communication history information storage unit; to calculate, based on the stored communication log information, throughput result information for each of a server, a network, and a user terminal that were used for the communication for each time slot, and store the calculated throughput result information in a quality information storage unit; and, when the user performs new communication, in advance, to read out corresponding throughput result information from the quality information storage unit based on at least one of a terminal, a server, and a network that the user intends to use, and a time slot including a time when the user intends to perform communication, and to estimate a communication speed in the new communication based on the read-out throughput result information.

Abstract: A moving-image parameter selection device includes a storage unit configured, for each distribution of a video in a past, to associate a combination of values of moving-image parameters used for the distribution, with a KPI related to the distribution, to store the associated combination; and a selector configured, for each of the combinations, to calculate an average of the KPI, to execute a significance test for each of the averages of the KPIs with respect to one of the averages of the KPIs of the combinations, and based on results of the significance tests, to select a part of combinations among the combinations, and thereby, enables selection of moving-image parameters that contribute to increasing the profit of a video distribution service.

Abstract: A video quality estimation apparatus used for an encoded video, to estimate a video quality value being a value quantifying a video quality being quality of the video felt by a user when viewing and listening to the video. The apparatus includes a maximum value calculator to calculate a maximum value of the video quality value from a resolution of the video and a frame rate of the video, and a video quality calculator to calculate an estimated video quality value corresponding to an encoding bit rate having been input, based on a predetermined relationship between the encoding bit rate of the video and the video quality value. The predetermined relationship is a relationship in which the video quality value increases while the encoding bit rate increases, and the video quality value converges on the maximum value calculated by the maximum value calculator.

Abstract: A moving-image parameter selection device includes a storage unit configured, for each distribution of a video in a past, to associate a combination of values of moving-image parameters used for the distribution, with a KPI related to the distribution, to store the associated combination; and a selector configured, for each of the combinations, to calculate an average of the KPI, to execute a significance test for each of the averages of the KPIs with respect to one of the averages of the KPIs of the combinations, and based on results of the significance tests, to select a part of combinations among the combinations, and thereby, enables selection of moving-image parameters that contribute to increasing the profit of a video distribution service.

Abstract: A delivery rate selection device, for selecting a delivery rate when delivering a video image from a video delivery server to a client in a video delivery service. When a delivery rate calculating unit receives from an inquiry source an inquiry of delivery rate for delivering a video image to a given user, a delivery rate calculating unit acquires presence or absence of a playback stall tolerance and presence or absence of an image quality deterioration tolerance of the given user from the user characteristic storage unit, selects an encoding rate from a plurality of encoding rates of the video image according to a combination of the presence or absence of a playback stall tolerance and the presence or absence of an image quality deterioration tolerance of the given user, and returns the selected encoding rate as the delivery rate to the inquiry source.

Abstract: A data prediction device includes a predictor configured, among a plurality of data prediction schemes each of which has an application condition and a priority, among the data prediction schemes each of which has the application condition satisfied by a set of past observation data, to use a first data prediction scheme having a highest priority, so as to calculate a predicted value of next observation data, based on the set of the observation data; an accuracy calculator configured, in response to receiving the next observation data as input, to compare the predicted value with the observation data, so as to calculate precision of the first data prediction scheme; and a changer configured to change the priority of the first data prediction scheme, based on the precision calculated by the accuracy calculator; and thereby, enables selection of a scheme that makes the prediction accuracy higher among the data prediction schemes.

Abstract: A communication-speed-limited user extraction apparatus for extracting a user whose communication speed is limited based on communication histories includes a communication history storage unit configured to store the communication histories including throughput information on a user-by-user basis; and a communication-speed-limited user determination unit configured to extract a communication history with a same communication environment at a communication date and time within a predetermined period of time from the communication history storage unit and determine that a user with a different throughput distribution is the user whose communication speed is limited.

Abstract: A video quality evaluation apparatus for evaluating a video quality that a user experiences for a service in which a 3D video is used, the video quality evaluation apparatus including: a 2D video quality derivation unit configured to derive, from input 3D video data, a left eye video quality that is a quality of a left eye video that is included in the 3D video data and a right eye video quality that is a quality of a right eye video that is included in the 3D video data; and a 3D video quality derivation unit configured to derive a quality of the 3D video from the left eye video quality and the right eye video quality.

Abstract: A quality-of-experience optimization system configured to optimize quality (QoE: Quality of Experience) that a user experiences in a content distribution service, including: a recommend request apparatus configured to output a distribution parameter candidate of content distribution for optimizing QoE of content distribution, and to receive a distribution parameter for optimizing the QoE as a recommend value; and a quality-of-experience optimization apparatus configured to estimate QoE from the distribution parameter candidate received from the recommend request apparatus, and to calculate a distribution parameter for optimizing the QoE as a recommend value to output the recommend value.

Abstract: A communication speed estimation apparatus configured: to generate communication log information representing history of communication executed by a user, and store the communication log information in a communication history information storage unit; to calculate, based on the stored communication log information, throughput result information for each of a server, a network, and a user terminal that were used for the communication for each time slot, and store the calculated throughput result information in a quality information storage unit; and, when the user performs new communication, in advance, to read out corresponding throughput result information from the quality information storage unit based on at least one of a terminal, a server, and a network that the user intends to use, and a time slot including a time when the user intends to perform communication, and to estimate a communication speed in the new communication based on the read-out throughput result information.

Abstract: A video quality estimation apparatus used for an encoded video, to estimate a video quality value being a value quantifying a video quality being quality of the video felt by a user when viewing and listening to the video. The apparatus includes a maximum value calculator to calculate a maximum value of the video quality value from a resolution of the video and a frame rate of the video, and a video quality calculator to calculate an estimated video quality value corresponding to an encoding bit rate having been input, based on a predetermined relationship between the encoding bit rate of the video and the video quality value. The predetermined relationship is a relationship in which the video quality value increases while the encoding bit rate increases, and the video quality value converges on the maximum value calculated by the maximum value calculator.

Abstract: A video quality evaluation apparatus for evaluating a video quality that a user experiences for a service in which a 3D video is used, the video quality evaluation apparatus including: a 2D video quality derivation unit configured to derive, from input 3D video data, a left eye video quality that is a quality of a left eye video that is included in the 3D video data and a right eye video quality that is a quality of a right eye video that is included in the 3D video data; and a 3D video quality derivation unit configured to derive a quality of the 3D video from the left eye video quality and the right eye video quality.