A method for video bitstream processing includes determining, by a processor, that a reconstructed representation of a current sample of video data is to be subject to a bilateral filter defined by one or more parameters based, at least in part, on a weighted sum of sample intensity differences (S.sub.Diff) between a first window covering the current sample and a second window covering a neighboring sample, wherein multiple sample intensity differences are assigned unequal weights; and applying the bilateral filter defined by the one or more parameters to the reconstructed representation of the current sample of the video data.

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.

Methods and apparatus for video processing are described. The video processing may include video encoding, video decoding, or video transcoding. One example video processing method includes performing a conversion between a video picture of a video and a bitstream of the video. A first syntax element in a first video unit level specifying a deblocking parameter offset for β divided by 2 applied to a chroma component for one or more slices in a first video unit and a second syntax element in the first video unit level specifying a deblocking parameter offset for tC divided by 2 applied to the chroma component for the one or more slices in the first video unit are determined according to a rule in response to the first syntax element and the second syntax element not included in the bitstream.

A method is provided for storing light distributions of a matrix headlight system. The method includes loading, from a memory, first control data for lighting means of a first matrix light module for generating a first light distribution; feeding the first control data to a comparison module; loading, from the memory, second control data for the lighting means of the first matrix light module or for lighting means of a second matrix light module for generating a second light distribution and feeding the second control data to a comparison module. The method compares the first and second control data; stores the first control data for the first light distribution if there is a similarity or equality between the first and second control data; and linking the second control data for the second light distribution by means of a link to the control data for the first light distribution.

A method of converting 10-bit pixel data (e.g. 10:10:10:2 data) into 8-bit pixel data involves converting the 10-bit values to 7-bits or 8-bits and generating error values for each of the converted values. Two of the 8-bit output channels comprise a combination of a converted 7-bit value and one of the bits from the fourth input channel. A third 8-bit output channel comprises the converted 8-bit value and the fourth 8-bit output channel comprises the error values. In various examples, the bits of the error values may be interleaved when they are packed into the fourth output channel.

Audio and video transmission device and audio and video transmission system are provided. The audio and video transmission system includes an audio and video transmission device and at least one wireless microphone transmitting device. Each of the at least one wireless microphone transmitting device is configured to send an audio signal acquired by a wireless microphone to the audio and video transmission device. The audio and video transmission device is configured to be respectively connected to the wireless microphone transmitting device and an external video acquisition device and configured to: receive the audio signal from the wireless microphone transmitting device and transmit the audio signal to the video acquisition device, obtain a mixture signal generated by the video acquisition device from the audio signal and a video signal, and process and output the mixture signal.

A method for encoding a picture block is disclosed. A predictor is determined as a weighted sum of sample values of a first motion compensated reference block in a first reference image and of a second motion compensated reference block in a second reference image. Then, a residual block determined from the picture block and the predictor is encoded in a bitstream. Advantageously, the weights of the weighted sum are determined by minimizing an error between reconstructed samples neighboring the picture block and samples neighboring the first and second reference blocks.

Methods are provided for inter-prediction candidate index coding independent of the construction of the corresponding inter-prediction candidate list, i.e., a merging candidate list or an advanced motion vector predictor list. A maximum allowed number of inter-prediction candidates for an inter-prediction candidate list is used for encoding the inter-prediction candidate index in an encoded bit stream. The maximum allowed number may be pre-determined or may be selected by the encoder and encoded in the bit stream. A decoder may then decode the index using the maximum allowed number of inter-prediction candidates independent of the construction of the corresponding inter-prediction candidate list.

A method for sample adaptive offset (SAO) filtering and SAO parameter signaling in a video encoder is provided that includes determining SAO parameters for largest coding units (LCUs) of a reconstructed picture, wherein the SAO parameters include an indicator of an SAO filter type and a plurality of SAO offsets, applying SAO filtering to the reconstructed picture according to the SAO parameters, and entropy encoding LCU specific SAO information for each LCU of the reconstructed picture in an encoded video bit stream, wherein the entropy encoded LCU specific SAO information for the LCUs is interleaved with entropy encoded data for the LCUs in the encoded video bit stream. Determining SAO parameters may include determining the LCU specific SAO information to be entropy encoded for each LCU according to an SAO prediction protocol.

A plurality of byte ranges forms a sample for content output from a player device, and includes at least one double-encrypted byte range. The plurality of byte ranges is stored in a secured memory, and the at least one double-encrypted byte range is partially decrypted to generate at least one decrypted singe-encrypted byte range. The plurality of byte ranges is stored in an unsecured memory using the at least one decrypted single-encrypted byte range in place of the at least one double-encrypted byte range.