The present disclosure relates to a system for evaluating a built-in video recording device for a vehicle, the system including: a GUI (graphical user interface) test part configured to automatically perform evaluation of a GUI screen of a vehicle display device that operates in conjunction with the built-in video recording device for a vehicle; and an automatic evaluating part configured to automatically evaluate performance of the built-in video recording device for a vehicle based on a result evaluated by the GUI test part.

An augmented reality, virtual reality, or other wearable apparatus comprises an eye tracking device comprising an image sensor, a lens, and one or more processors. In some embodiments, the lens comprises a marker, and the one or more processors are configured to receive an image from the image sensor, wherein the image shows the marker, determine a distance from the image sensor to the marker based on the image, and change a calibration parameter of an eye tracking algorithm based on the distance. In some embodiments, the one or more processors are configured to receive image data from the image sensor, wherein the image data corresponds to an image as observed through the lens, determine a level or pattern of pincushion distortion in the image based on the image data, and change a calibration parameter of an eye tracking algorithm based on the level or the pattern of pincushion distortion.

A detection device detecting a scene related to a sponsor credit included in a commercial message from a target video is provided. The detection device comprises a detection unit that associates, from a preliminary video, a still image related to the sponsor credit with an audio signal related to the sponsor credit included other than in a frame or an audio signal configuring the commercial message so as to detect the scene related to the sponsor credit from the target video.

A method, comprises monitoring a encoding process of a source video file performed by an encoder; obtaining an encoding decision parameter used to encode a picture of the source video file during the encoding process; comparing the encoding decision parameter to a threshold; based on the step of comparing, identifying the picture as a candidate picture for a visual defect or coding error; and storing a timestamp of the candidate picture.

An image sensing device includes an image sensor suitable for correcting depth information based on a control signal, and for generating image data according to the depth information, and a controller suitable for analyzing an error of the depth information, and for generating the control signal, based on first and second cycle signals provided from the image sensor.

A conferencing system terminal device includes a display, an audio output, a user interface, a communication device, and one or more processors. The one or more processors present an audio difficulties user actuation target upon the display during an audio or video conference occurring across a network and concurrently with a presentation of conference content. Actuation of the audio difficulties user actuation target indicates that audio content associated with the audio or video conference being delivered by the audio output is impaired.

Techniques in connection with a light field camera array are disclosed, involving generating a temperature data for an imaging camera included in an imaging camera array for a first time, obtaining an image data from the imaging camera, generating temperature-based correction parameters corresponding to the temperature data based on at least a stored temperature calibration data; and producing corrected image data by applying a geometric distortion correction and/or color correction indicated by the temperature-based correction parameters to the image data.

A method for determining experience quality of virtual reality (VR) multimedia includes, in a process of playing VR multimedia, obtaining a first sensory parameter, a second sensory parameter, and a third sensory parameter of the VR multimedia, where the first sensory parameter, the second sensory parameter, and the third sensory parameter are obtained by performing sampling separately according to at least two same perceptual dimensions, and are respectively parameters that affect fidelity experience, enjoyment experience, and interaction experience, and determining a mean opinion score (MOS) of the VR multimedia based on the first sensory parameter, the second sensory parameter, and the third sensory parameter of the VR multimedia. Because the third sensory parameter is a parameter that affects the interaction experience, an interaction feature of the VR multimedia is considered.

The present technology relates to a signal processing device and method, and a program that enable easier and more accurate failure detection. The signal processing device includes: an addition unit that adds test data for failure detection to valid data on which predetermined processing is to be performed, two or more samples processed in parallel in different paths having a same sample value in the test data; and a signal processing unit that performs the predetermined processing on the valid data and the test data that has been added to the valid data by a plurality of the paths. The present technology can be applied to in-car cameras.

A method of determining a focal length of a camera and/or of adjusting a viewing direction in a graphical representation of a pre-operative image is provided. The method includes providing uncalibrated camera data of a camera, specifying an initial value of a focal length of the camera, specifying a working distance value of a distance between the camera and the at least part of the tracking system, calculating a distance value of the distance between the camera and the at least part of the tracking system based on the uncalibrated camera data and based on the specified initial value of the focal length of the camera, calculating a change factor based on the specified working distance value and the calculated distance value, and calculating an adapted value of the focal length of the camera based on the initial value of the focal length and based on the change factor.