Methods and apparatus are disclosed to determine a power state of a device. An example method includes determining respective counts for a plurality of measurements during a calibration period, the measurements indicative of an amount of power drawn by the device, determining a first threshold and a second threshold based on at least one of the counts, the first threshold determined using most frequently logged measurement values, the most frequently logged measurement values based on counts performed after expiration of the calibration period, comparing a measurement to the first threshold and to the second threshold, and outputting a positive indication when the measurement is within an acceptable difference range, the acceptable difference range based on the amount of power drawn by the device.

Methods and systems for analyzing video quality of programming by content type. A method for analyzing video quality includes receiving, at a service provider system, video containing a source event. The system can sample the video at a least processed sampling point in the service provider system. An event feature set characterizing the source event is determined using the sampled video. The event feature set includes unique features that are same and unique features that are substantially same in videos including future occurrences of the source event. The system assesses the quality of one or more sampled videos taken at other delivery path points in the service provider system. The quality assessed using a source event no reference quality evaluator trained using at least the event feature set. The system outputs a quality metric for each of the one or more sampled videos taken at the other delivery path points.

An electronic apparatus, method, and algorithm achieve synchronization between video data executed on a video sink device and audio data executed on one or more Bluetooth audio sink devices. The electronic apparatus, method, and algorithm obtain calibration information for the one or more Bluetooth devices, determine a delay for outputting the video and audio data to the video sink device using the calibration information, control the Bluetooth transceiver to output the audio data to the one or more Bluetooth devices, and control the output circuit to output the video and audio data to the video sink device in accordance with the determined delay.

A method may include obtaining parameter information of a plurality of acquisition devices that communicate with the system to transmit video data to the system. The parameter information of each of the plurality of acquisition device may include transmission information of a target key frame of the video data of the acquisition device. The method may also include determining, based on the parameter information, whether there are collision key frames in the target key frames of the plurality of acquisition devices. The method may also include adjusting an original generation time of at least one of the collision key frames in response to determining that there are collision key frames, so that after the adjustment, there is no collision key frame in the target key frames of the plurality of acquisition devices.

In various embodiments, a prediction application computes a quality score for re-constructed visual content that is derived from visual content. The prediction application generates a frame difference matrix based on two frames included in the re-constructed video content. The prediction application then generates a first entropy matrix based on the frame difference matrix and a first scale. Subsequently, the prediction application computes a first value for a first temporal feature based on the first entropy matrix and a second entropy matrix associated with both the visual content and the first scale. The prediction application computes a quality score for the re-constructed video content based on the first value, a second value for a second temporal feature associated with a second scale, and a machine learning model that is trained using subjective quality scores. The quality score indicates a level of visual quality associated with streamed video content.

A head-mountable device can include display elements and/or cameras that can be calibrated for accurate recording and visual output. Whereas some aspects of a head-mountable device can be calibrated at the time of production, usage and wear of the head-mountable device can result in certain components becoming misaligned. A case or other reference can be used to calibrate the cameras of the head-mountable device to ensure that the captured images are recorded in a target alignment. The case can be operated with the head-mountable device to calibrate the display elements of the head-mountable device to ensure that the images are output in a target alignment. Such calibration can include consideration of any lenses installed in front of the display elements.

Various techniques include detecting noise in a network, identifying the type of noise in the network, localizing noise in the network, determining noise scores for network devices, and/or determining likelihoods that particular devices are causing noise and/or are in proximity of a point of entry of noise into the network.

A method and a system for inspecting a display image are provided. A test image is displayed on a display surface through a display device. An optical inspection image is generated by photographing the test image on the display surface by an image capturing device. A brightness channel image and a color channel image of the optical inspection image are obtained by performing color space transformation on the optical inspection image. Background estimation is applied to the color channel image to obtain a color channel background image. At least one color nonuniformity region in the test image is obtained by respectively comparing an inspection reference value with multiple color component pixel values of the color channel background image.

The present invention discloses a method, an apparatus, and a system for implementing video quality assessment. When video quality is assessed, a proportion of a damaged data caused by packet loss in a video frame in which the damaged data is located is considered, and other factors are also considered, such as a position of the damaged data in the video frame and impact of a scene in which the video frame is located on the video frame or a video frame located after the video frame. Therefore, accuracy of quality assessment is higher.

A method, a set-top box, and non-transitory computer readable medium are disclosed for detecting incompatible cables for devices. The method includes: setting, on an electronic device, a high speed data-transfer mode; sending, from the electronic device, data to a device at the high speed data-transfer mode over a cable under test; determining, on the electronic device, a number of authentication attempts by the device; and determining, by the electronic device, that the number of authentication attempts by the device is less a predetermined number that the cable under test is compatible with the high speed data-transfer mode.