Aspects of the disclosure provide for a method. In some examples, the method includes receiving a video stream comprising multiple frames, analyzing the video stream to compare data values representing an image pixel at a specified location in a first of the frames to data values representing an image pixel at the specified location in a second of the frames, determining that the video stream is frozen responsive to the data values representing the image pixel at the specified location in the first of the frames being the same as the data values representing the image pixel at the specified location in the second of the frames, and taking action responsive to determining that the video stream is frozen.

A display modification system for use with a display device, including a camera operable to capture images of at least a portion of the display device, an image analysis unit operable to derive the value of one or more parameters associated with the display of images by the display device in dependence upon the captured images, a modification determination unit operable to determine a modification to be applied to a content display process associated with the display device, where the modification includes changes to a content rendering process for generating content to be displayed by the display device and/or one or more display settings associated with the display device, and a modification communication unit operable to transmit information identifying the determined modification to one or both of the display device and a processing device operable to render content for display by the display device.

A method for rolling shutter compensation during signal delay measurement, comprising displaying a video test pattern on a display, said video test pattern having a temporal event; capturing a video of the display, by a camera; monitoring a plurality of regions of the display in the video; detecting times (1230, 1240) at which the temporal event appears in each monitored region of the display in the video; and extrapolating the detected times (1230, 1240) to calculate the time (1250) at which said temporal event would appear at a selected region of the video.

Systems, devices, and methods related to a Deep Learning Accelerator and memory are described. For example, a removable media (e.g., a memory card, or a USB drive) may be configured to execute instructions with matrix operands and configured with: an interface to receive a video stream; and random access memory to buffer a portion of the video stream as an input to an Artificial Neural Network and to store instructions executable by the Deep Learning Accelerator and matrices of the Artificial Neural Network. Such a removable media can be used to replace an existing removable media used in a surveillance camera to record video or images. The Deep Learning Accelerator can execute the instructions to generate analytics of the buffer portion using the Artificial Neural Network, enabling the surveillance camera that is upgraded via the use of the removable media to provide intelligent services based on the analytics.

A method for identifying variations introduced in signals transmitted over a signal path, the method comprising sending, over the signal path, one or more test patterns with functional features to a test pattern analyser, wherein said functional features are for determining aspects of variations introduced in the one or more test patterns during transmission over the signal path; and including a data pattern in at least one of the test patterns prior to said sending, said data pattern comprising meta-data on functional features of the at least one test pattern.

A passive component for coupling to, and thereby tracking, an intermediary device within a cable television system is disclosed. The passive component includes a tracking circuit separate in functionality from an existing circuit of the intermediary device. The tracking circuit, which is unpowered and uncontrolled, receives a first signal from a first device in the cable television system, modifies the first signal to create a modified signal, and passes the modified first signal to a second device in the cable television system, the second device being configured to determine a type for the intermediary device based on the modification to the first signal. The first device is one of a cable modem or a CMTS, and the second device is the other of the cable modem and the CMTS.

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.

Frames of a video stream collected at first and second points along a video delivery chain are buffered into first and second buffers, respectively, the second point being downstream the video delivery chain from the first point. A control group is identified as a subset of frames of the second buffer. Correlations of extracted features of the control group to extracted features of successive windows of frames of the first buffer are computed, the extracted features being based on spatial information and temporal information of the video stream. A delay between the video stream collected at the first point and the video stream collected at the second point is identified according to a maximum correlation of the correlations.

A method and test instrument for validating MPEG content in a CATV network, particularly one having a Remote PHY architecture.

In an arrangement where a physical phenomenon affects a digital video camera and is measured or sensed by a sensor, a delay of a digital video stream from the digital video camera is estimated. The digital video stream is processed by a video processor for producing a signal that represents the changing over time of the effect of the physical phenomenon on the digital video camera. The signal is then compared with the sensor output signal, such as by using cross-correlation or cross-convolution, for estimating the time delay between the compared signals. The estimated time delay may be used for synchronizing when combining additional varied data to the digital video stream for low-error time alignment. The physical phenomenon may be based on mechanical position or motion, such as pitch, yaw, or roll. The time delay estimating may be performed once, upon user control, periodically, or continuously.