Embodiments include a system, method, and computer program product that enable secure access to cameras in smart buildings. Some embodiments control outbound video from an environment such as a local network through an intelligent on-event video pushing mechanism. The local intelligent on-event video pushing mechanism hides the IP address of a source video camera, transcodes the video to a reduced size for wide area distribution, and pushes video to a recipient upon an event triggered received within the local environment (e.g., the local network.) Embodiments enable a remote video client on the far-side of the local network firewall to view the video streams of cameras on the near-side of the local network firewall when an event or trigger occurs.

The present disclosure relates to systems and methods of multi-processing core processing of image frames during image encoding. The multiple processing cores may be connected via dedicated interfaces and transfer neighbor data between the processing cores to enable parallel processing of frame data. The multiple processing cores may each process quad-rows of image data for a single frame in parallel to reduce memory usage and mitigate latency in video encoding.

The present disclosure relates to systems and methods of multi-processing core processing of image frames during image encoding. The multiple processing cores may be connected via dedicated interfaces and transfer neighbor data between the processing cores to enable parallel processing of frame data. The multiple processing cores may each process quad-rows of image data for a single frame in parallel to reduce memory usage and mitigate latency in video encoding.

Methods and apparatus for processing of video are described. The processing includes video encoding, decoding, or transcoding. A video processing method includes performing a conversion between a video including one or more pictures including one or more subpictures and a bitstream of the video. The bitstream conforms to a format rule that specifies that a trailing subpicture that is associated with an intra random access point subpicture or a gradual decoding refresh subpicture follows the intra random access point subpicture or the gradual decoding refresh subpicture in an order.

A spectrum coding method includes quantizing spectral data of a current band based on a first quantization scheme, generating a lower bit of the current band using the spectral data and the quantized spectral data, quantizing a sequence of lower bits including the lower bit of the current band based on a second quantization scheme, and generating a bitstream based on a upper bit excluding N bits, where N is 1 or greater, from the quantized spectral data and the quantized sequence of lower bits.

A spectrum coding method includes quantizing spectral data of a current band based on a first quantization scheme, generating a lower bit of the current band using the spectral data and the quantized spectral data, quantizing a sequence of lower bits including the lower bit of the current band based on a second quantization scheme, and generating a bitstream based on a upper bit excluding N bits, where N is 1 or greater, from the quantized spectral data and the quantized sequence of lower bits.

System and method for improving video encoding and/or video decoding. In embodiments, a video encoding pipeline includes a main encoding pipeline that compresses source image data corresponding with an image frame by processing the source image data based at least in part on encoding parameters to generate encoded image data. Additionally the video encoding pipeline includes a machine learning block communicatively coupled to the main encoding pipeline, in which the machine learning block analyzes content of the image frame by processing the source image data based at least in part on machine learning parameters implemented in the machine learning block when the machine learning block is enabled by the encoding parameters; and the video encoding pipeline adaptively adjusts the encoding parameters based at least in part on the content expected to be present in the image frame to facilitate improving encoding efficiency.

A video signal processing method may include: a step for determining whether a secondary inverse transform is applied to the current block; a step for deriving a secondary transform kernel set which is applied to the current block from among predefined secondary transform kernel sets on the basis of an intra prediction mode of the current block when the secondary inverse transform is applied to the current block; a step for selecting a secondary transform kernel, which is applied to the current block, in the selected secondary transform kernel set; a step for generating a secondary inverse transformed block by performing a secondary inverse transform on a specified upper-left region of the current block by using the secondary transform kernel; and a step for generating a residual block of the current block by performing a primary inverse transform on the secondary inverse transformed block.

An electronic device and a method of operating the same, the electronic device including a first decoder that decodes frames configuring a multimedia file stored in an external storage device; an encoder that encodes decoded frames included in a first decoded file; memory; and a controller that reads the multimedia file from the external storage device, extracts the frames from the read multimedia file, controls the first decoder and the encoder, and controls the memory to store the video thumbnail file output from the encoder.

An acquisition unit capable of providing more flexible services includes an acquisition unit that acquires a first stream; a transformer that transforms a first picture included in the first stream into a second picture, the first picture being irreversibly encoded, the second picture being reversibly encoded; and an output unit that outputs a second stream including the second picture.