A flicker measuring device of the present invention: receives light emitted from an object to be measured and outputs a light reception signal corresponding to an amount of received light; acquires the output light reception signal a plurality of times from a measurement start time point to a steady time point at which the object to be measured is in a steady state, obtains a flicker value of the object to be measured for each of the plurality of times on the basis of the acquired light reception signal, and stores the flicker value obtained for each of the plurality of times in a storage in association with an acquisition time point of the light reception signal; and performs an arithmetic processing of obtaining a flicker shift time by using each flicker value stored, in which in the arithmetic processing, an amount of overall change is obtained that is an amount of change of the flicker value from the initial flicker value to the steady flicker value, a predetermined ratio time point is obtained at which an amount of change of the flicker value from the reference flicker value is a predetermined ratio of the amount of overall change, and an elapsed time between the predetermined ratio time point and the reference time point is obtained as the flicker shift time.

Techniques are described for expanding and/or improving the Advanced Television Systems Committee (ATSC) 3.0 television protocol in robustly delivering the next generation broadcast television services. A receiver, to automatically switch from presenting a service on a first frequency to a second frequency such as when a mobile receiver is moving through a boundary region between two broadcasters, can temporarily use a satellite link or 5G wireless telephony or other over the top (OTT) source to acquire a service until an OTA link satisfies quality requirements.

A temporal alignment system and method for example for detecting temporal misalignment in video frames when the frames are divided for transport using a signal divider for dividing a single signal S into portions S.sub.1 . . . S.sub.N and using average picture level in determining whether data sets within a particular frame are misaligned.

In a camera calibration apparatus (10), an acquisition unit (11) acquires a first normal vector in an image plane and a second normal vector in the image plane respectively corresponding to a first normal vector in a world coordinate space and a second normal vector in the world coordinate space which are normal vectors with respect to a reference plane in the world coordinate space and have the same length. A projective depth calculation unit (12) calculates a projective depth vector having, as vector elements, four projective depths respectively corresponding to a start point and an end point of the first normal vector in the image plane and a start point and a end point of the second normal vector in the image plane.

Calculating, for each frame of a plurality of frames, a corresponding quality value; calculating, for each frame of the plurality of frames, based on one or more visual attributes of a frame, a weight for the corresponding quality value of the frame; calculating an aggregate quality value for the plurality of frames based on the weight and the corresponding quality value for each frame of the plurality of frames; and providing an assessment of the plurality of frames based on the aggregate quality value for the plurality of frames.

A network element of a cable television (CATV) network, comprising an input for upstream signal transmission; one or more diplex filters (210, 212, 214) connectable to said input, the diplex filters (210, 212, 214) comprising bandpass filters for different upstream and downstream frequency bands; a plurality of components arranged to form an upstream signal path, wherein at least one of said components is an upstream amplifier (206c); means (216) for detecting a type of the diplex filter connected between said input and the upstream signal path; means (216) for determining a control signal for adjusting bias current of the upstream amplifier (206c), wherein the control signal is based on at least a type of the diplex filter; and means for adjusting the bias current of the upstream amplifier (206c) based on the control signal.

In a camera calibration apparatus (10), an acquisition unit (11) acquires a first normal vector in an image plane and a second normal vector in the image plane respectively corresponding to a first normal vector in a world coordinate space and a second normal vector in the world coordinate space which are normal vectors with respect to a reference plane in the world coordinate space and have the same length. A projective depth calculation unit (12) calculates a projective depth vector having, as vector elements, four projective depths respectively corresponding to a start point and an end point of the first normal vector in the image plane and a start point and a end point of the second normal vector in the image plane.

In various embodiments, a quality inference application estimates the perceived quality of reconstructed videos. The quality inference application computes a first feature value for a first feature included in a feature vector based on a color component associated with a reconstructed video. The quality inference application also computes a second feature value for a second feature included in the feature vector based on a brightness component associated with the reconstructed video. Subsequently, the quality inference application computes a perceptual quality score based on the first feature value and the second feature value. The perceptual quality score indicates a level of visual quality associated with at least one frame included in the reconstructed video.

A method for video quality assessment implemented by a computing device, where the method includes selecting a first set of frames from an input video source, determining features of the first set of frames for input into a first machine learning model, applying the first machine learning model to the features of the first set of frames to obtain a video quality score and a confidence score, and triggering a retraining of the first machine learning model in response to the confidence score being determined to be out of bounds.

This streaming design assistance method assists in the selection of an encoding condition for increasing the watching time in adaptive bitrate video streaming by causing a computer to execute: estimating a relationship between a watching time or an abandonment rate and an application quality index according to a mathematical model on the basis of an actual value of a watching time of each of a plurality of first sessions related to video streaming and an actual value of an application quality index of each of the sessions; estimating the application quality index of each of the sessions for each of a plurality of encoding conditions related to video streaming on the basis of the plurality of encoding conditions and an actual value of time-series throughput of each of a plurality of second sessions; and applying the application quality index estimated under each of the encoding conditions to the relationship to estimate an average watching time of the plurality of second sessions.