Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating marked digital images with content adaptive watermarks. In particular, in one or more embodiments, the disclosed systems intelligently evaluate a plurality of watermark configurations to select one or more content adaptive watermarks for one or more target digital images and generate one or more marked digital images by adding the selected content adaptive watermarks to the one or more target digital images.

Abstract: A robot control system includes a robot having a servo control unit, a lower-level control apparatus transmitting a control command to the servo control unit and receiving robot status information representing a status of the robot from the servo control unit with respect to each preset control period, and an upper-level control apparatus transmitting command information for creation of the control command to the lower-level control apparatus. The lower-level control apparatus transmits the robot status information to the upper-level control apparatus in synchronization with the control period. The upper-level control apparatus transmits the command information to the lower-level control apparatus within a predetermined transmission time shorter than the control period from a time when receiving the robot status information from the lower-level control apparatus.

Abstract: Techniques are described for efficiently embedding frame masks in a video stream. In some solutions, a computer implemented method includes operations for encoding a frame of video data comprising an array of pixels to generate an encoded video frame, and transmitting the encoded video frame to a video decoder. The array of pixels include foreground pixels and background pixels. The foreground pixels have respective first chroma component values which are bounded within a first chroma component range. Encoding the frame of video data can include converting the first chroma component values of the foreground pixels to second chroma component values by applying a mapping function. The second chroma component values are bounded within a second chroma component range. The second chroma component range is shifted or compressed from the first chroma component range.

Abstract: Methods, systems, and computer program products for stochastic compression of raster data are provided herein. A computer-implemented method includes obtaining at least one compression ratio and at least one error value for a given set of raster data; compressing at least a portion of the given set of raster data based at least in part on the at least one compression ratio and the at least one error value; transmitting the compressed raster data, to at least one given destination, based at least in part on a given transmission speed variable; and performing one or more automated actions based at least in part on the transmitted compressed raster data.

Abstract: A method, computer program, and computer system is provided for coding video data. Video data is received, and an edge present within a sample of the received video data is detected. A gradient value corresponding to a direction associated with the detected edge is calculated. The video data is decoded based on the calculated gradient.

Abstract: Methods, systems, and computer readable media for content item purging are provided. A contact item purger, such as may be incorporated within a local client application of a content management system running on a user device, may leverage knowledge as to which items have been uploaded to the content management system, and how long such content items have been stored on the user device, to propose items for deletion from the user device so as to reclaim storage space. A contact item purger may run on one or more user devices, and may activate upon various triggering events, based on various conditions and parameters, with or without user interaction, thus maintaining available memory capacity at all times.

Abstract: An arithmetic encoder for encoding a plurality of symbols having symbol values is configured to derive an interval size information for an arithmetic encoding of one or more symbol values to be encoded based on a plurality of state variable values representing statistics of a plurality of previously encoded symbol values with different adaptation time constants. The arithmetic encoder is configured to map a first state variable value, or a scaled and/or rounded version thereof, using a lookup-table and to map a second state variable value, or a scaled and/or rounded version thereof using the lookup-table, in order to obtain the interval size information describing an interval size for the arithmetic encoding of one or more symbols to be encoded. Further arithmetic encoders, arithmetic decoders, video encoders, video decoder, methods for encoding, methods for decoding and computer programs are also disclosed which are based on the same concept and on other concepts.

Abstract: An audio decoder for providing a decoded audio information includes a arithmetic decoder for providing a plurality of decoded spectral values on the basis of an arithmetically-encoded representation of the spectral values and a frequency-domain-to-time-domain converter for providing a time-domain audio representation using the decoded spectral values. The arithmetic decoder is configured to select a mapping rule describing a mapping of a code value onto a symbol code in dependence on a context state. The arithmetic decoder is configured to determine or modify the current context state in dependence on a plurality of previously-decoded spectral values. The arithmetic decoder is configured to detect a group of a plurality of previously-decoded spectral values, which fulfill, individually or taken together, a predetermined condition regarding their magnitudes, and to determine the current context state in dependence on a result of the detection. An audio encoder uses similar principles.

Abstract: A method, computer program, and computer system is provided for decoding point cloud data. Data corresponding to a point cloud is received. A number of contexts associated with the received data is reduced based on occupancy data corresponding to one or more parent nodes and one or more child nodes within the received data. The data corresponding to the point cloud is decoded based on the reduced number of contexts.

Abstract: A computing device performs initial processing of sensor data. The computing device includes one or more processors and instructions or logic that, when executed by the one or more processors, cause the computing device to perform obtaining sensor data, encoding the sensor data, writing the encoded sensor data to a dynamically allocated buffer, and logging a status of the written encoded sensor data at a static location of the dynamically allocated buffer. The status includes any one or more of memory addresses at which frames of the sensor data begin in the dynamically allocated buffer, valid bit fields corresponding to the frames, and sizes of each of data segments within the frames. The instructions further cause the computing device to perform, in response to receiving a polling request from a computing resource, transmitting the logged status to the computing resource.

Abstract: A method, apparatus, article of manufacture, and a memory structure for signaling extension functions used in decoding a sequence comprising a plurality of pictures, each picture processed at least in part according to a picture parameter set is disclosed. In one embodiment, the method comprises reading a first extension flag signaling a first extension function in the processing of the sequence and determining if the first extension flag has a first value. Further, the method reads a second extension flag signaling a second extension function in the processing of the sequence and performs the second extension function according to the read second extension flag only if the first extension flag has a first value.

Abstract: A processor obtains pieces of coded data, which are included in a bitstream and generated by coding tiles, and tile boundary independence information, which indicates whether each boundary between the tiles is a first or second boundary. Image data of a first tile is generated by decoding a first code string included in first coded data with reference to decoding information of a decoded tile when the tile boundary independence information indicates the first boundary, and by decoding the first code string without referring to the decoding information when the tile boundary independence information indicates the second boundary. A bit string is added after the first code string to make a bit length of first coded data a multiple of a predetermined N bits, with N being an integer greater than or equal to 2.

Abstract: The present invention enables a receiving side to easily recognize a high-quality format corresponding to encoded image data included in an extended video stream. Two video streams including a basic video stream including encoded image data of basic format image data, and an extended video stream including encoded image data of high-quality format image data of one type selected from a plurality of types are generated. A container of a predetermined format including the basic video stream and the extended video stream is transmitted. Information indicating a high-quality format corresponding to the encoded image data included in the extended video stream is inserted into the extended video stream and/or the container.

Abstract: A method, computer system, and computer program product are provided for managing content items, including tracking and/or updating content items. A content item is received from an author. A key is associated with the content item. Based on the key, a user is identified who is presenting the content item in a communication session. In response to determining that the author has updated the content item, the user is notified that an updated version of the content item is available for presentation in the communication session.

Abstract: The present disclosure relates to an image processing apparatus and an image processing method that are capable of improving coding efficiency at the time when a prediction using a correlation within a screen is performed. A predicted vector generation section sets, at a time of encoding of a current motion vector of a current block for a prediction using a correlation within a screen, a candidate block to not available and generates a predicted vector of the current motion vector by using a reference motion vector, the reference motion vector being referred to when the predicted vector of the current motion vector is generated. A difference vector generation section generates a difference vector between the current motion vector and the predicted vector generated by the predicted vector generation section. The present disclosure can be applied to, for example, an encoding apparatus.

Abstract: Techniques are described to automate deployment of an application as a cloud computing service. Such deployment may be accomplished on any underlying host infrastructure. As mentioned above, a typical application may engage in a number of build and deployment processes in order to run on a host computer with an infrastructure type. The techniques described herein may leverage an artificial intelligence computation library to identify which build and deployment processes are required by the application. Once identified, the user may select a host infrastructure type and create a container package with a runtime machine and components configure to run these build and deployment processes for that host infrastructure type. The container package may be used to generate an image from which the host computer can run the application as the cloud computing service. Other embodiments are described and claimed.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for channel-wise autoregressive entropy models. In one aspect, a method includes processing data using a first encoder neural network to generate a latent representation of the data. The latent representation of data is processed by a quantizer and a second encoder neural network to generate a quantized latent representation of data and a latent representation of an entropy model. The latent representation of data is further processed into a plurality of slices of quantized latent representations of data wherein the slices are arranged in an ordinal sequence. A hyperprior processing network generates a hyperprior parameters and a compressed representation of the hyperprior parameters. For each slice, a corresponding compressed representation is generated using a corresponding slice processing network wherein a combination of the compressed representations form a compressed representation of the data.

Abstract: Before a file logically divided into a plurality of groups is downloaded, an acquisition section acquires meta information set for the groups. An area management section reserves recording areas in a first storage and a second storage according to the meta information of the groups. A recording processing section records the groups into the first storage or the second storage according to the meta information of the groups.

Abstract: Provided is an image processing device configured to compress first image data. The image processing device includes an encoding circuit configured to compress the first image data into second image data including prediction data and residual data, compress the second image data into third image data by performing entropy encoding on the second image data, generate a header representing a compression ratio of the third image data, and store the third image data along with the header in a memory device as compressed first image data.

Abstract: There are provided methods and apparatus for in-loop artifact filtering. An apparatus includes an encoder for encoding an image region. The encoder has at least two filters for successively performing in-loop filtering to respectively reduce at least a first and a second type of quantization artifact.

Abstract: Concepts are described, including encoding, processing and decoding of a data stream having a video encoded thereinto, wherein the video comprises a plurality of pictures, wherein the data stream comprises a plurality of pictures in at least two layers, wherein the pictures of at least one layer are split into a predetermined layer-specific number of subpictures, one or more of the pictures or subpictures of one layer corresponds to one picture or subpictures in one or more other layer, and at least one of the subpictures comprises boundaries for boundary extension for motion compensation, and an indication that at least one of the boundaries of corresponding subpictures or corresponding pictures in different layers are aligned with each other.

Abstract: A method, computer program, and computer system is provided for point cloud coding. The method includes receiving, from a bitstream, data corresponding to a point cloud; reconstructing, based on the data, a first attribute value of a first duplicate point from among a plurality of duplicate points corresponding to a single geometry position; obtaining at least one prediction residual corresponding to at least one remaining attribute value of at least one remaining duplicate point from among the plurality of duplicate points; reconstructing the at least one remaining attribute value based on the reconstructed first attribute and the at least one prediction residual; and decoding the data corresponding to the point cloud based on the reconstructed first attribute value and the reconstructed at least one remaining attribute value.

Abstract: A system and method for data compression with protocol adaptation, that utilizes a codebook generator which leverages one or more machine/deep learning algorithms trained on at least a plurality of protocol policies in order to generate a protocol appendix and codebook, wherein original data is encoded by an encoder according to the codebook and sent to a decoder, but instead of just decoding the data according to the codebook to reconstruct the original data, data manipulation rules such as mapping and transformation are applied at the decoding stage to transform the decoded data into protocol formatted data.

Abstract: A data search method for a memory device is provided. The data search method includes: based on a recorded compression mode, vectoring a search data to generate a search data vector, and based on the recorded compression mode, compressing the search data and a plurality of objects in a database; setting a search condition; searching the objects of the database by the search data vector to determine whether the search data is matched with the objects of the database; and recording and outputting at least one matched object of the database, the at least one matched object matched with the search data.

Abstract: There is provided a laminated sheet with which the electrical inspection of a redistribution layer formed later can be efficiently performed, while the laminated sheet is in the form of a sheet useful for the formation of a redistribution layer. This laminated sheet includes a carrier with a release function; a first electrically conductive film provided on the carrier with the release function; an insulating film provided on the first electrically conductive film; and a second electrically conductive film provided on the insulating film. The second electrically conductive film is used for formation of a redistribution layer, and the first electrically conductive film, the insulating film, and the second electrically conductive film function as a capacitor for performing electrical inspection of the redistribution layer.

Abstract: An image encoding/decoding method using a pixel value range constituting an image is disclosed, wherein the image decoding method using a pixel value range constituting an image comprises the steps of: receiving a bitstream; acquiring information of a pixel value range forming a first unit image included in the received bitstream; and decoding the first unit image on the basis of the acquired information of the pixel value range. Therefore, compression efficiency can be improved in an image encoding or decoding process.

Abstract: A method, computer program, and computer system is provided for coding a video sequence. Video information corresponding to one or subpictures within a picture is received. A first subpicture is identified from among the one or more subpictures as a region of interest. The first subpicture corresponding to the region of interest is encoded in a high quality mode. One or more other subpictures from among the one or more subpictures is encoded in a low quality mode. The first encoded subpicture and the encoded one or more other subpictures are output with one or more output layer sets.

Abstract: A method comprises obtaining a pathology image set using a microscope, the pathology image set including at least a to-be-evaluated image and one or more associated images, the associated images and the to-be-evaluated image are consecutive frame images acquired using the microscope. The method comprises determining a first status corresponding to the to-be-evaluated image according to the pathology image set, the first status being used for indicating a motion change of the to-be-evaluated image during the acquisition and the first status includes a plurality of predefined states. The method comprises in accordance with a determination that the first status corresponds to a static state of the plurality of predefined states, determining a second status corresponding to the to-be-evaluated image, the second status indicating a change in image clarity of the to-be-evaluated image. This application further discloses an image status determining apparatus, a device, and a computer storage medium.

Abstract: A method for lossy image or video encoding, transmission and decoding, the method comprising the steps of: receiving an input image at a first computer system; encoding the input image using a first trained neural network to produce a latent representation; identifying one or more regions of the input image associated with high visual sensitivity; encoding the one or more regions of the input image associated with high visual sensitivity using a second trained neural network to produce one or more region latent representations; performing a quantization process on the latent representation and the one or more region latent representations; transmitting the result of the quantization process to a second computer system; decoding the result of the quantization process to produce an output image, wherein the output image is an approximation of the input image.

Abstract: An encoder includes circuitry and a memory coupled to the circuitry. The circuitry, in operation, determines whether or not a ternary split process of splitting a block into three sub blocks in a first direction parallel to a first longer side of the block is allowed by comparing a size of a second shorter side of the block to a minimum threshold value. The circuitry, responsive to the ternary split process being allowed, writes, into a bitstream, a split direction parameter indicative of a splitting direction. The circuitry, in operation, splits the block into a plurality of sub blocks in a direction indicated by the split direction parameter; splits the block into a plurality of sub blocks in a second direction parallel to the second shorter side of the block when the ternary split process is not allowed; and encodes the plurality of sub blocks.

Abstract: An example method of encoding a point cloud includes obtaining a value of a secondary residual for geometry coding a current predictive tree node of the point cloud; and encoding the value of the secondary residual, wherein encoding the value comprises: encoding, using a first set of context-adaptive binary arithmetic coding (CABAC) contexts, prefix bins of a syntax element having a value that specifies an absolute value of the value of the secondary residual minus 2; and encoding, using a second set of CABAC contexts that is different than the first set of contexts, suffix bins of the syntax element.

Abstract: Systems and methods for efficient lossless compression of captured raw image information are presented. A method can comprise: receiving raw image data from an image capture device, segregating the pixel data into a base layer portion and an enhanced layer portion, reconfiguring the base layer portion expressed in the first color space values from a raw capture format into a pseudo second color space compression mechanism compatible format, and compressing the reconfigured base layer portion of first color space values. The raw image data can include pixel data are expressed in first color space values. The segregation can be based upon various factors, including a compression benefits analysis of a boundary location between the base layer portion and enhanced layer portion. The reconfiguring the base layer portion can include separating the base layer portion based upon multiple components within the raw data; and forming base layer video frames from the multiple components.

Abstract: A display method includes a first terminal connecting to a second terminal and obtaining a first gesture made by a user on a target shortcut in a first display interface, where the first display interface is an interface presented on the first terminal, and where target content corresponding to the target shortcut is not running in a foreground of the first terminal. Then, the first terminal sends first display data to the second terminal based on the first gesture, so that the second terminal displays the first display data in a second display interface, where the first display data is data correlated with the target content, and where the second display interface is an interface presented on the second terminal.

Abstract: A three-dimensional data encoding method includes: determining whether a first valid node count is greater than or equal to a first threshold value predetermined, the first valid node count being a total number of valid nodes that are nodes each including a three-dimensional point, the valid nodes being included in first nodes belonging to a layer higher than a layer of a current node in an N-ary tree structure of three-dimensional points included in point cloud data, N being an integer greater than or equal to 2; and, when the first valid node count is greater than or equal to the first threshold value, performing first encoding on attribute information of the current node, the first encoding including a prediction process in which second nodes are used, the second nodes including a parent node of the current node and belonging to a same layer as the parent node.

Abstract: In some examples, a method of decoding a point cloud includes decoding an initial QP value from an attribute parameter set. The method also includes determining a first QP value for a first component of an attribute of point cloud data from the initial QP value. The method further includes determining a QP offset value for a second component of the attribute of the point cloud data and determining a second QP value for the second component of the attribute from the first QP value and from the QP offset value. The method includes decoding the point cloud data based on the first QP value and further based on the second QP value.

Abstract: A non-tracking solar sensor device and systems. The non-tracking solar sensor system includes a transparent hemispherical dome enclosure for receiving light. A diffuser is disposed with the enclosure for diffusing the light. A photodiode sensor array senses at least one discrete wavelength of the diffused light. A data acquisition module is configured to receive a sensor signal from the sensor array, the signal indicative of light quality at least one discrete wave band for processing via a processor module.

Abstract: A fixed wireless access system is implemented using orthogonal time frequency space multiplexing (OTFS). Data transmissions to/from different devices share transmission resources using—delay Doppler multiplexing, time-frequency multiplexing, multiplexing at stream and/or layer level, and angular multiplexing. Time-frequency multiplexing is achieved by dividing the time-frequency plan into subgrids, with the subsampled time frequency grid being used to carry the OTFS data. Antenna implementations include a hemispherical antenna with multiple antenna elements arranged in an array to achieve multiplexing.

Abstract: A video processing method is provided. In the method, at least one pair of decoded blocks to be reconstructed in a video frame is determined. Each pair of decoded blocks in the at least one pair of decoded blocks includes a first decoded block of a first resolution and a second decoded block of a second resolution. The first decoded block is adjacent to the second decoded block. The first resolution of the first decoded block is adjusted to a target resolution. The second resolution of the second decoded block is adjusted to the target resolution. A first edge pixel set in the first decoded block is determined. A second edge pixel set in the second decoded block is determined, the second edge pixel set being adjacent to the first edge pixel set. Further, the first edge pixel set and the second edge pixel set are filtered.

Abstract: In some embodiments, a data processing method for generating a synthetic view rendering of a custom product, the method comprises: generating a calibrated product renderings asset of a referenced physical product by: based on user input received for a digital asset corresponding to the referenced physical product, generating user-driven settings for a plurality of product option parametric key-values, applying the plurality of product option parametric key-values to the digital asset to generate the calibrated product rendering asset; rendering the calibrated product rendering asset using a coverage buffer and a coverage map to generate a final image; causing displaying the final image on a display device.

Abstract: A method for performing deterministic data processing through Artificial Intelligence (AI) is disclosed. The method may include generating, via a deep learning network, a set of input feature vectors based on input data for a deterministic data processing model. The method may further include providing the set of input feature vectors to a trained AI model. The trained AI model may generate a set of output feature vectors that may correspond to an output data of the deterministic data processing model. The method may further include determining a variation between the set of output feature vectors and the output data, and iteratively performing incremental learning of the AI model based on the determined variation.

Abstract: A test and measurement instrument includes an acquisition memory and a processor structured to store a stream of sampled incoming data samples in the acquisition memory. As the memory fills, the instrument automatically decimates either the data samples already stored in the acquisition memory, the incoming data samples, or both. The instrument may also store two copies of the incoming data samples, one at an increased decimation rate. The two copies are tied together with a timestamp or using other methods. The more highly decimated copy may be used to produce a video output of the stored data samples, saving the instrument from generating the video output from the larger sized sample.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for converting unstructured documents to structured key-value pairs. In one aspect, a method includes: providing an image of a document to a detection model, wherein: the detection model is configured to process the image to generate an output that defines one or more bounding boxes generated for the image; and each bounding box generated for the image is predicted to enclose a key-value pair including key textual data and value textual data, wherein the key textual data defines a label that characterizes the value textual data; and for each of the one or more bounding boxes generated for the image: identifying textual data enclosed by the bounding box using an optical character recognition technique; and determining whether the textual data enclosed by the bounding box defines a key-value pair.

Abstract: A method, computer program, and computer system is provided for decoding point cloud data. Data corresponding to a point cloud is received. A number of contexts associated with the received data is reduced based on occupancy data corresponding to one or more parent nodes and one or more child nodes within the received data. The data corresponding to the point cloud is decoded based on the reduced number of contexts.

Abstract: An apparatus for performing artificial intelligence (AI) encoding on an image includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to: determine a resolution of an original image; when the resolution of the original image is higher than a predetermined value, obtain a first image by performing AI downscaling on the original image via a downscaling deep neural network (DNN); when the resolution of the original image is lower than or equal to the predetermined value, obtain a first image by performing AI one-to-one preprocessing on the original image via a one-to-one preprocessing DNN for upscaling; generate image data by performing first encoding on the first image; and transmit the image data and AI data including information related to the AI downscaling or information related to the AI one-to-one preprocessing.

Abstract: Transcoding bitrate prediction techniques can include receiving a first encoded content. A transcoder bitrate can be estimated based on regression over a video quality estimator of the first encoded content and a second encoded content. The estimated transcoder bitrate can be utilized to transcoding the first encoded content into the second encoded.

Abstract: A point cloud model reconstruction method, an encoder, and a decoder are provided. The method includes the following. An i-th segmentation position of an i-th three-dimensional slice on a longest edge in a point cloud space is obtained, where 1?i?n?1 and n is a total number of three-dimensional slices to-be-processed. An i-th cube block set nearest to the i-th segmentation position in the i-th three-dimensional slice is determined based on the i-th segmentation position and a preset cube block length. An i-th vertex position with a cube block in the i-th cube block set is determined along the longest edge, where the i-th vertex position represents a position of a vertex on an edge which is away from a start position of the cube block by the preset cube block length. A point cloud model is reconstructed based on the i-th vertex position.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for channel-wise autoregressive entropy models. In one aspect, a method includes processing data using a first encoder neural network to generate a latent representation of the data. The latent representation of data is processed by a quantizer and a second encoder neural network to generate a quantized latent representation of data and a latent representation of an entropy model. The latent representation of data is further processed into a plurality of slices of quantized latent representations of data wherein the slices are arranged in an ordinal sequence. A hyperprior processing network generates a hyperprior parameters and a compressed representation of the hyperprior parameters. For each slice, a corresponding compressed representation is generated using a corresponding slice processing network wherein a combination of the compressed representations form a compressed representation of the data.

Abstract: The present invention relates to a device and a method for processing and transmitting image data in a wireless AV system. The present specification provides a device comprising: an external device interface unit configured to receive an external input signal including an actual image (an actual picture); a control unit connected to the external device interface unit and configured to detect the external input signal and produce information on the external input signal; an image processing unit connected to the control unit, receiving, from the control unit, at least one among the external input signal and the information on the external input signal, determining an image compressibility on the basis of the information on the external input signal, and outputting a compressed image based on the determined image compressibility; and a communication unit for transmitting the compressed image through a wireless channel.

Abstract: A printing control apparatus that reduces time and effort in security management for printing. The printing control apparatus is configured to communicate with a cloud storage that stores a plurality of print data with different degrees of confidentiality in different storage locations according to the degrees of confidentiality. The printing control apparatus receives a printing instruction and obtains installation location information indicating an installation location of a printing apparatus designated in the printing instruction, and storage location information indicating a storage location of print data designated in the printing instruction. Based on the storage location information and the installation location information, it is determined whether or not printing of the designated print data is allowed. When it is determined that printing of the designated print data is allowed, the designated print data is obtained from the cloud storage, and the obtained print data is printed.

Abstract: A system, method, and computer readable medium for determining authenticity of digital content. The system includes obtaining a video including a plurality of intermediate video frames with respective digital signatures, each video frame of the plurality of intermediate video frames associated with a respective digital signature. The digital signature is generated based at least in part on the image content of the video frame and a hash value of a previous video frame in the same video. Based on using a cryptographic key associated with a recording device used to capture the video, the system can determine authenticity of the content and the ordering of the frames within a video.