A video fidelity measure is determined for a video sequence (1) by determining distorted and original difference pictures (30, 40) as pixel-wise differences between pixels (14, 24) in a distorted picture (10) and corresponding pixels (24) in an original picture (20) and between pixels in a preceding distorted picture (11) and corresponding pixels in a preceding original picture (21). First and second maps representing distortions in pixel values between the distorted and original pictures (10, 20) and between distorted and original difference pictures (30, 40) are determined. Third and sixth maps are determined as respective aggregations of local variabilities in pixels values in the distorted and original pictures (10, 20) and local variabilities in pixels values in the distorted and original difference pictures (30, 40), respectively. The video fidelity measure is then determined based on the first to third and sixth maps.

A moving image control apparatus is a control device that realizes bitrate control in a moving image streaming service, which includes a calculation means for calculating a quality target value used for the bitrate control such that a utility function including a predetermined engagement index value is optimized through Bayesian optimization.

A bidirectional media communication channel testing platform includes an HDMI testing device including a video input port and an audio output port; a plurality of media streaming devices, each including a video transmission channel and an audio return channel; and a bidirectional switch including a video path and an audio path. The video path is configured to selectively couple the video input port of the HDMI testing device to a video transmission channel of a selected one of the plurality of media streaming devices, and the audio path is configured to concurrently couple the audio output port of the HDMI testing device to the audio return channel of each of the plurality of media streaming devices, regardless of a switching state of the video path of the bidirectional switch.

Sensors in a facility generate sensor data associated with a region of the facility, which can be used to determine a 3D location of an object in the facility. Some sensors may sense overlapping regions of the facility. For example, a first sensor may generate data associated with a first region of the facility, while a second sensor may generate data associated with a second region of the facility that partially overlaps the first region. Sensors may fail at times as determined from sensor output data or status data. In response to identifying a failed sensor, an undetected region corresponding to the failed sensor is identified, as well as a substitute sensor that partially senses the undetected region. Sensor data from the substitute sensor, such as 2D data, is acquired and used to estimate a 3D location of an object in the undetected region.

Exemplary embodiments are directed to methods and systems for annotating generating training data for video quality impairment detection. A video stream recorder extracts one or more image frames from a reference video stream as it is played. A video image labeler embeds a unique label into each of the one or more extracted image frames. The video stream recorder records the one or more labeled image frames as a labeled video stream. The video stream player then plays the labeled video stream through an impaired communication channel to generate a degraded video stream. A video image comparator compares one or more corresponding frames of the labeled video stream and the degraded video stream to generate one or more difference frames. An impaired image recorder annotates at least one of the one or more difference frames according to a corrupted region of the at least one difference frame.

A system includes a first projector and a second projector offset from the first projector. The system includes a rail and a controller coupled to the first projector and to the second projector. The controller is configured to move the first projector and the second projector along the rail. The controller is also configured to apply a first warping correction to a first image projected by the first projector, based at least in part on a position of the first projector. The controller is further configured to apply a second warping correction to a second image projected by the second projector, based at least in part on a position of the second projector.

The present invention relates to a power and video redundancy system for a display system of a smartboard. More particularly, the present invention relates to a power and video redundancy system applied to a smartboard display system which minimizes the user's inconvenience due to the failure or damage of components and enables the manager to repair or change the parts without the user being aware of the loss or damage.

Embodiments provide a camera design (e.g., an eyeball camera) that mimics a human eye in geometry, optical performance and/or motion. The eyeball camera adopts the same cornea and pupil geometry from the human eye, and has the iris and pupil configured with multiple texture, color or diameter options. The resolution of the eyeball camera is designed to match the acuity of typical 20/20 human vision, and focus is adjusted from 0 to 4 diopters. A pair of eyeball cameras are mounted independently on two hexapods to simulate the human eye gaze and vergence. The perceived virtual and real world are calibrated and evaluated based on eye conditions like pupil location and gaze using the eyeball cameras. The eyeball camera serves as a bridge to combine the data from spatial computing like eye tracking, 3D geometry of the digital world, display color accuracy/uniformity, and display optical quality (sharpness, contrast, etc.).

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.

A method includes receiving, by a system-on-a-chip (SoC) from a camera mounted on a vehicle, a first image and transmitting, by the SoC to a display circuit over an interface cable, the first image. The method also includes receiving, by the SoC from the display circuit, a feedback signature corresponding to the first image. Additionally, the method includes detecting, by the SoC, an error, in response to determining that the feedback signature does not match the transmission-side signature and transmitting, by the SoC to the display circuit, a second image, in response to determining that the feedback signature matches the transmission-side signature.