Abstract: A video encoder for encoding a video into a data stream using motion compensated prediction for inter predicted blocks, comprising a hypothesis number control, configured to control a number of prediction hypotheses of the inter predicted blocks within a predetermined portion of the video to meet a predetermined criterion.

Abstract: Systems and methods are provided for facilitating automated administration of email messages received by a customer service representative including a service email administrator system that reviews incoming email messages, analyzes the content, assesses emotional sentiment, urgency, and determines the best course of action. The conversation administrator is configured to use natural language processing and machine learning algorithms to generate automated responses, provide email response drafts for customer service representative (CSR) review, or route emails to CSRs based on the sentiment or urgency.

Abstract: The present invention provides an image encoding method and an image decoding method. The image encoding method of the present invention comprises: a first dividing step of dividing a current image into a plurality of blocks; and a second dividing step of dividing, into a plurality of sub blocks, a block, which is to be divided and includes a boundary of the current image, among the plurality of blocks, wherein the second dividing step is recursively performed by setting a sub block including the boundary of the current images as the block to be divided, until the sub block including the boundary of the current image does not exist among the sub blocks.

Abstract: Video encoding and decoding is implemented with auto encoders using luminance information to derive motion information for chrominance prediction. In one embodiment conditional convolutions are used to encode motion flow information. A current condition, for example, GOP structure, is used as input to a succession of fully connected layers to implement the conditional convolution. In a related embodiment, more than one reference frame is used to encode motion flow information.

Abstract: Disclosed are an image encoding/decoding method and apparatus. The method and apparatus select at least one reference pixel line from among multiple reference pixel lines and derive a predicted value of a pixel within a current block by using the value of at least one pixel within the selected reference pixel line(s). Alternatively, the method and apparatus derive an intra prediction mode of a reconstructed pixel region on the basis of a reference pixel region of at least one reconstructed pixel region, derive an intra prediction mode of a current block on the basis of the derived intra prediction mode of the reconstructed pixel region, obtain an intra prediction block of the current block by using the derived intra prediction mode, and reconstruct the current block by summing the obtained intra prediction block and a residual block of the current block.

Abstract: Devices, systems, and methods for language model prompt engineering include a method of: providing, by at least one first processor, to a language model, a first prompt including a first task and instructing the language model to generate a set of task-specific reasoning modules; generating, by the language model, the set of task-specific reasoning modules based on the first prompt, the set of task-specific reasoning modules including a first reasoning module; providing, by at least one second processor, to the language model, a second prompt including the first task, a second task, and the first reasoning module, wherein the second prompt instructs the language model to generate an initial reasoning structure defining how to respond to the first task without providing a response; and generating, by the language model, the initial reasoning structure based on the second prompt.

Abstract: This disclosure describes systems, methods, and devices related to bit-rate-based variable accuracy level encoding. A device may generate a list of encodes based on pairs of resolutions and quantization parameters (QP) associated with one or more video segments received from a source. The device may generate an estimated bit rate associated with the one or more video segments based on an analysis of the one or more video segments. The device may utilize an accuracy level of encoding for an encoder based on the estimated bit rate. The device may encode the one or more video segments based on the accuracy level of encoding.

Abstract: A mechanism for processing video data is disclosed. The mechanism determines to apply an end-to-end lossless compression network to compress an input stereo image pair {xL, xR} into bitstreams {bL, bR}. A conversion can then be performed between a visual media data and a bitstream based on the end-to-end lossless compression network.

Abstract: A system and method for classification. A method includes identifying candidate entities among text data by applying at least one entity identification rule to the text data. Inputs are constructed based on the identified candidate entities, where each input includes a first portion of text indicating a candidate entity and at least one second portion of text and where the at least one second portion of text of each input is adjacent to the first portion of text of the input. Multiple language models are applied to the inputs, where each language model is trained to identify a respective set of entities and where outputs of the language models include at least one portion of entity-indicating text for each input. Based on the outputs of the language models, at least one named entity in the text data is determined.

Abstract: The present disclosure relates to an image processing device and method for enabling control of a value of a quantization parameter within a desired range. A quantization parameter is corrected on the basis of a parameter regarding adaptive color transform and further correcting the quantization parameter on the basis of a parameter regarding transform skip, and coefficient data of an image to be encoded is quantized using a corrected quantization parameter that is the quantization parameter that has been corrected. The present disclosure can be applied to, for example, an image processing device, an image encoding device, an image decoding device, a transmission device, a reception device, a transmission/reception device, an information processing device, an imaging device, a reproduction device, an electronic device, an image processing method, an information processing method, or the like.

Abstract: A system processing hardware executes a machine learning (ML) model-based video compression encoder to receive uncompressed video content and corresponding motion compensated video content, compare the uncompressed and motion compensated video content to identify an image space residual, transform the image space residual to a latent space representation of the uncompressed video content, and transform, using a trained image compression ML model, the motion compensated video content to a latent space representation of the motion compensated video content.

Abstract: Methods and apparatus for video processing are described. The processing may include video encoding, video decoding or video transcoding. An example video processing method includes performing a conversion between a video comprising one or more pictures and a bitstream of the video according to a format rule, and wherein the format rule specifies that, in response to satisfying one or more conditions, a syntax element indicating whether a first syntax structure providing a profile, a tier and a level information and a second syntax structure providing decoded picture buffer information are present in a sequence parameter set is set to be equal to 1 to indicate that the first syntax structure and the second syntax structure are present in the sequence parameter set.

Abstract: A method and apparatus for decoding a video signal are disclosed. A method for decoding a video signal includes obtaining block type information of a current block, confirming a prediction mode of the current block based on the block type information, obtaining, if the prediction mode of the current block is an intra prediction mode according to the prediction mode, at least one correlation parameter information using at least one neighboring pixel of the current block, obtaining an intra prediction value of the current block using the correlation parameter information, and reconstructing the current block using the intra prediction value of the current block.

Abstract: A method and apparatus for a low complexity transform unit partitioning structure for High Efficiency Video Coding (HEVC). The method includes determining prediction unit size of a coding unit, and setting the size of transform unit size of Y, U and V according to the prediction unit size of the coding unit.

Abstract: The present invention provides an image encoding method and an image decoding method. The image encoding method of the present invention comprises: a first dividing step of dividing a current image into a plurality of blocks; and a second dividing step of dividing, into a plurality of sub blocks, a block, which is to be divided and includes a boundary of the current image, among the plurality of blocks, wherein the second dividing step is recursively performed by setting a sub block including the boundary of the current images as the block to be divided, until the sub block including the boundary of the current image does not exist among the sub blocks.

Abstract: A computer-implemented method of transmitting video data. A sequence of video frames is received. A warp operation for a first frame and a reference frame of the sequence of video frames is determined, wherein the warp operation defines a transformation of the reference frame to give an approximation of the first frame. One or more regions of interest of the first frame are identified. Encoded image data from the image data of the one of more regions of interest of the first frame is generated using an image encoder. The warp operation and the encoded image data are transmitted.

Abstract: This disclosure describes systems, methods, and devices related to complexity aware encoding. A device may generate a list of encodes based on pairs of resolution and quantization parameters (QP) pairs associated with one or more video segments received from a source. The device may generate an estimated bit rate associated with the one or more video segments based on an analysis of the one or more video segments. The device may determine distortion values associated with the one or more video segments. The device may apply a weighting mechanism to the distortion values using the estimated bit rate. The device may select a subset of encodes based on the weighting mechanism. The device may perform the subset of encodes on the one or more video segments for transmission.

Abstract: The present invention provides an image encoding method and an image decoding method. The image encoding method of the present invention comprises: a first dividing step of dividing a current image into a plurality of blocks; and a second dividing step of dividing, into a plurality of sub blocks, a block, which is to be divided and includes a boundary of the current image, among the plurality of blocks, wherein the second dividing step is recursively performed by setting a sub block including the boundary of the current images as the block to be divided, until the sub block including the boundary of the current image does not exist among the sub blocks.

Abstract: The present invention provides an image encoding method and an image decoding method. The image encoding method of the present invention comprises: a first dividing step of dividing a current image into a plurality of blocks; and a second dividing step of dividing, into a plurality of sub blocks, a block, which is to be divided and includes a boundary of the current image, among the plurality of blocks, wherein the second dividing step is recursively performed by setting a sub block including the boundary of the current images as the block to be divided, until the sub block including the boundary of the current image does not exist among the sub blocks.

Abstract: The present invention provides an image encoding method and an image decoding method. The image encoding method of the present invention comprises: a first dividing step of dividing a current image into a plurality of blocks; and a second dividing step of dividing, into a plurality of sub blocks, a block, which is to be divided and includes a boundary of the current image, among the plurality of blocks, wherein the second dividing step is recursively performed by setting a sub block including the boundary of the current images as the block to be divided, until the sub block including the boundary of the current image does not exist among the sub blocks.