Systems, devices, and techniques are generally described to transmit image data. An image file including image data may be identified. The image data may be divided into a plurality of portions. The plurality of portions may include a first portion corresponding to a first position in the image data and a second portion corresponding to a second position in the image data. The image data may be modified to produce a shuffled image. The shuffled image may indicate that the first portion corresponds to a third position and the second portion corresponds to a fourth position. The shuffled image may be sent to a recipient computing device. The recipient computing device may render the first portion at the first position and the second portion at the second position to display the image data.

The present invention relates to a method and device for sharing a candidate list. A method of generating a merging candidate list for a predictive block may include: producing, on the basis of a coding block including a predictive block on which a parallel merging process is performed, at least one of a spatial merging candidate and a temporal merging candidate of the predictive block; and generating a single merging candidate list for the coding block on the basis of the produced merging candidate. Thus, it is possible to increase processing speeds for coding and decoding by performing inter-picture prediction in parallel on a plurality of predictive blocks.

The present disclosure provides systems and methods for processing video content. The method can include: receiving data representing a first block and a second block in a picture, the data comprising a plurality of chroma samples associated with the first block and a plurality of luma samples associated with the second block; determining an average value of the plurality of luma samples associated with the second block; determining a chroma scaling factor for the first block based on the average value; and processing the plurality of chroma samples associated with the first block using the chroma scaling factor.

A method for video decoding is disclosed. A directional intra prediction mode is decoded for a block of a picture, the directional intra prediction mode having a direction. Based on the directional intra prediction mode, a first predictor and a second predictor for a sample in the current block are accessed, the first and second predictors being on a line at least approximating the direction. A sample value of the sample is predicted by interpolation using the first and second predictors, responsive to a difference between the second and first predictors, wherein the difference is scaled by at least a ratio that is based on a location of the sample in the block, and wherein a denominator of the ratio is a power of two regardless of the location of the sample. The sample of the block is reconstructed based on the predicted sample value.

A moving picture coding apparatus includes an intra-inter prediction unit which calculates a second motion vector by performing a scaling process on a first motion vector of a temporally neighboring corresponding block, when selectively adding, to a list, a motion vector of each of one or more corresponding blocks each of which is either a block included in a current picture to be coded and spatially neighboring a current block to be coded or a block included in a picture other than the current picture and temporally neighboring the current block, determines whether the second motion vector has a magnitude that is within a predetermined magnitude or not within the predetermined magnitude, and adds the second motion vector to the list when the intra-inter prediction unit determines that the second motion vector has a magnitude that is within the predetermined magnitude range.

The present disclosure relates to an electronic device and its execution method and a computer-readable medium. An electronic device, comprising: a memory having instructions stored thereon; a processor configured to execute instructions stored on the memory to cause the electronic device to perform the following operations: analyzing an original video stream being played to determine start time and duration of a first video stream part to be replaced in the original video stream; retrieving a second video stream part with the same duration; playing the second video stream part in a front end at the determined start time to play the original video stream in a backend; and playing the original video stream in the front end after finishing playing the second video stream part.

The present disclosure relates to an electronic device and its execution method and a computer-readable medium. An electronic device, comprising: a memory having instructions stored thereon; a processor configured to execute instructions stored on the memory to cause the electronic device to perform the following operations: analyzing an original video stream being played to determine start time and duration of a first video stream part to be replaced in the original video stream; retrieving a second video stream part with the same duration; playing the second video stream part in a front end at the determined start time to play the original video stream in a backend; and playing the original video stream in the front end after finishing playing the second video stream part.

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 video decoding method according to the present invention may comprise: a step for determining whether to divide a current block into a plurality of sub-blocks; a step for determining an intra prediction mode for the current block; and a step for performing intra prediction for each sub-block on the basis of the intra prediction mode, when the current block is divided into the plurality of sub-blocks.

A video encoding method includes obtaining a video bitstream; encoding the video bitstream based on a residual coding scheme and signaling information; and outputting the encoded video bitstream. Encoding the video bitstream includes: obtaining residual information associated with the video bitstream, wherein the residual information includes at least a remainder; obtaining a transform coefficient based on a current state, a Rice parameter, and a next state; and encoding the residual information based on the transform coefficient.