Abstract: One example method of video processing includes implementing, by a processor, a decoder-side motion vector derivation (DMVD) scheme for motion vector refinement during a conversion between a current video block and a bitstream representation of the current video block by deriving parameters based on a deriving rule. The conversion may include compressing the current video block into the bitstream representation or uncompressing the bitstream representation into pixel values of the current video block.

Abstract: Methods and systems for generating a set of forward and backward reshaping functions for the efficient coding of high-dynamic range (HDR) images are provided. Given an initial set of forward reshaping functions, output forward reshaping functions are constructed by a) using the forward reshaping functions to generate a first set of corresponding backward reshaping functions b) generating a second set of backward reshaping functions using a multi-segment polynomial representation with a common set of pivot points c) generating an output set of backward reshaping functions by optimizing the polynomial representation of the second set of backward reshaping functions to minimize gap values between consecutive segments and d) using the output set of backward reshaping functions to generate the output set of forward reshaping functions by minimizing the distance between original input HDR codewords and reconstructed HDR codewords.

Abstract: An image capture device is mounted in a vehicle. The image capture device includes: an image capture unit; and a setting unit that sets an image capture condition for each region of the image capture unit each having a plurality of pixels, or for each pixel, based upon at least one of a state exterior to the vehicle and a state of the vehicle.

Abstract: An electronic apparatus performs a method of decoding video data. The method comprises: receiving, from the video signal, a picture frame that includes a first component, and a second component; determining a classifier for the first component based on a first set of one or more samples of the second component associated with a respective sample of the first component; determining a sample offset for the respective sample of the first component according to the classifier; and modifying a value of the respective sample of the first component based on the determined sample offset, wherein the first component and the second component are chroma components. The picture frame further includes a third component, and the classifier for the first component is additionally based on a second set of one or more samples of the third component associated with the respective sample of the first component.

Abstract: A sparse matrix representation of image or video data for encoding or decoding uses a boundary of non-zero coefficients within the image or video data. A bounding box encloses each non-zero coefficient within an image or video block. The coefficients enclosed within the bounding box are encoded to a bitstream along with dimensional information usable to identify the bounding box within the image or video block during decoding. Coefficients not enclosed within the bounding box are not specifically encoded within the bitstream. The dimensional information represents one or more of a shape, size, or position within the image or video block of the bounding box. The bounding box may be identified according to a scan order used to process the coefficients within the image or video block. The bounding box may be rectangular or non-rectangular.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive an indication of one or more encoding operations to use for encoding a compressed dataset, the one or more encoding operations including a differential encoding operation, or an entropy encoding operation, or both. In some examples, using a neural network, the UE may first encode a dataset based on an additional encoding operation to generate a compressed dataset and then quantize the compressed dataset encoded based on the additional encoding operation. Subsequently, after the dataset has been initially encoded and then quantized, the UE may use the indication of the one or more encoding operations to further encode and compress the dataset. The UE may then transmit the dataset to a second device based on the one or more encoding operations.

Abstract: Embodiments feature families of rate allocation and rate control methods that utilize advanced processing of past and future frame/field picture statistics and are designed to operate with one or more coding passes. At least two method families include: a family of methods for a rate allocation with picture look-ahead; and a family of methods for average bit rate (ABR) control methods. At least two other methods for each method family are described. For the first family of methods, some methods may involve intra rate control. For the second family of methods, some methods may involve high complexity ABR control and/or low complexity ABR control. These and other embodiments can involve any of the following: spatial coding parameter adaptation, coding prediction, complexity processing, complexity estimation, complexity filtering, bit rate considerations, quality considerations, coding parameter allocation, and/or hierarchical prediction structures, among others.

Abstract: Techniques for content-adaptive encoder preset prediction for adaptive live streaming are described herein. A method for content-adaptive encoder preset prediction for adaptive live streaming includes performing video complexity feature extraction on a video segment to extract complexity features such as an average texture energy, an average temporal energy, and an average lumiscence. These inputs may be provided to an encoding time prediction model, along with a bitrate ladder, a resolution set, a target video encoding speed, and a number of CPU threads for the video segment, to predict an encoding time, and an optimized encoding preset may be selected for the video segment by a preset selection function using the predicted encoding time. The video segment may be encoded according to the optimized encoding preset.

Abstract: Methods, systems, and apparatus, including computer programs encoded on storage devices, for monitoring, security, and surveillance of a property. In one aspect, a system includes a virtual reality headset, a plurality of cameras, a plurality of sensors that includes a first sensor, a control unit, wherein the control unit includes a network interface, a processor, a storage device that includes instructions to perform operations that comprise receiving data from the first sensor that is indicative of an alarm event, determining a location of the first sensor, identifying a set of one or more cameras from the plurality of cameras that are associated with the first sensor, selecting a particular camera from the identified set of one or more cameras; and transmitting one or more instructions to the particular camera that command the particular camera to stream a live video feed to a user interface of the virtual reality headset.

Abstract: A method by which a decoding device decodes an image, according the present disclosure, comprises a flag related to whether there is sub-picture information and a flag related to whether a sub-picture includes a single slice, wherein the flag related to whether there is sub-picture information corresponds to a value of 0, and the flag related to whether the sub-picture includes the single slice corresponds to a value of 1.

Abstract: Four or more bitstream versions of a same content are encoded and divided into segments of independently coded tile sets representing multiple spatial regions. First and second bitstreams include independently coded tile sets encoded at a first quality. Third and fourth bitstreams include independently coded tile sets encoded at a second quality. First and third bitstreams have first random access picture interval. Second and fourth bitstreams have second random access picture interval. Independently coded tile sets are grouped into multiple groups of collocated sub-picture tracks, only one of said tile sets per group is intended to be received and/or decoded per any segment. Instruction(s) are generated for merging tile sets of different spatial locations into coded picture(s), causing a tile set originating from a random access picture to be decoded as a tile set originating from a non-random-access picture when merged with a tile set originating from a non-random-access picture.

Abstract: A video item that is subject to one or more motion stabilization transformations applied to the video item is identified. The one or more motion stabilization transformations pertain to a motion between video frames of a video sequence associated with the video item. One or more operations to modify the one or more motion stabilization transformations applied to the video item are determined. The one or more operations to modify the motion stabilization transformations are performed. The video item is provided for playback via a client device. Playback of the video item depicts at least a portion of the motion between the video frames of the video sequence.

Abstract: An image encoding/decoding method and apparatus for predicting a second color component block using a first color component block are provided. An image decoding method of the present invention comprises deriving a prediction parameter using the first color component block, and predicting the second color component block using the derived prediction parameter.

Abstract: Systems and methods provide for an automated system for analyzing damage and processing claims associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using cameras and lasers for determining the extent and severity of the damage. To aid in this determination, the server may also interface with various internal and external databases storing reference images of undamaged items and cost estimate information for repairing previously analyzed damages of similar items. Further still, the server may generate a payment for compensating a claimant for repair of the insured item.

Abstract: Embodiments of the present disclosure provide a method and device for processing a video signal. A method for decoding an image signal according to an embodiment of the present disclosure comprises the steps of: determining a non-separable transform set index indicating a non-separable transform set used for a non-separable transform of a current block from among non-separable transform sets predefined on the basis of an intra-prediction mode of the current block; determining. as a non-separable transform matrix, a transform kernel indicated by a non-separable transform index for the current block from among transform kernels included in the non-separable transform set indicated by the non-separable transform set index; and applying the non-separable transform matrix to an upper left region which of the current block, which is determined according to the width and height of the current block, wherein each of the predefined non-separable transform sets includes two transform kernels.

Abstract: An intra frame and inter frame joint prediction method is provided. The method includes determining at least one joint intra frame prediction mode of current coding block based on intra frame prediction mode of at least one encoded block of current frame, or determining the at least one joint intra frame prediction mode of the current coding block based on content characteristics of the current coding block, or taking at least one first specified intra frame prediction mode as the at least one joint intra frame prediction mode of current coding block; obtaining a joint intra frame prediction value of the current coding block based on the at least one joint intra frame prediction mode; and obtaining at least one intra frame and inter frame joint prediction value based on at least one candidate motion vector and the joint intra frame prediction value of the current coding block.

Abstract: A location monitoring system, such as an alarm system employed at a house or other location, can include a wireless, battery-operated camera. The camera can have a low power mode in which all components other than a low power communications module are deactivated. The camera can be activated by a signal received by the low power communications module, and the camera can establish a direct communications link with, and send video image data to, a remote server. Where the camera/server direct communications link is inoperable, a link to a local controller is established, and at least a portion of the video image data sent to the controller, which can send a portion of the video image data via an alternate network.

Abstract: A system and method of reducing blocking artifacts and providing enhanced coding efficiency based, as least in part, upon evaluation of relative smoothness of signals at a coding boundary. In some embodiments, a boundary threshold difference can be established beyond which it is determined that the difference is representative of a natural or intended boundary and filtering can be applied to those boundaries having differences below the boundary threshold difference. In some further embodiments, the ramps of the signal across the boundary can be evaluated to determine whether weak or strong filtering might be appropriate. In some further embodiments, weak filtering can be performed that reduces blocking artifacts, improves coding efficiency, but does not distort ramp signals across the boundary.

Abstract: Methods and apparatus to calibrate and/or validate stereoscopic depth sensing systems are disclosed. An example apparatus includes an image generator to generate a first image for a first image sensor; and generate a second image for a second image sensor. First content in the first image is to be shifted relative to corresponding second content in the second image by a shift amount. The shift amount based on a target depth to be tested. The example apparatus further includes a calibration controller to cause the first and second images to be presented on the display screen; and calibrate the first and second image sensors based on a difference between the target depth and a measured depth. The measured depth based on an analysis of the first and second images as captured by the first and second image sensors when the first and second images are presented on the display screen.

Abstract: Apparatus and method for imaging fundus of eye. The apparatus (100) includes an optical system (116), an image sensor (114) to capture a still image or a video through the optical system (116), a user interface (102) including a display (104) to display data to a user of the apparatus, and one or more processors (106). The one or more processors (106) cause performance of at least the following: setting the image sensor (114) to capture an aiming video; detecting a retina of the eye in the aiming video; setting the display (104) to display the aiming video with a highlight of the detected retina; and setting the image sensor (114) to capture one or more final still images of the fundus or a final video of the fundus.