Abstract: A computer-implemented method retrofit for decoding video in a video decoding chipset is disclosed. The method comprises receiving a video signal and a picture improvement signal; decoding the video signal to create decoded video; deriving, from the picture improvement signal, pixel touching information to be used to modify a pixel of the decoded video; and causing a graphics feeder of the video decoding chipset to overlay the pixel touching information onto the decoded video.

Abstract: Systems and methods for improving determination of encoded image data using a video encoding pipeline, which includes a first transcode engine that entropy encodes a first portion of a bin stream to determine a first bit stream including first encoded image data that indicates a first coding group row and that determines first characteristic data corresponding to the first bit stream to facilitate communicating a combined bit stream; and a second transcode engine that entropy encodes a second portion of the bin stream to determine a second bit stream including second encoded image data that indicates a second coding group row while the first transcode engine entropy encodes the first portion of the bin stream and that determines second characteristic data corresponding to the second bit stream to facilitate communicating the combined bit stream, which includes the first bit stream and the second bit stream, to a decoding device.

Abstract: In an image processing device (i.e. encoder or decoder), the number of loop filter stages is lowered by combining bilateral loop filtering (or Hadamard loop filtering) with either sample Adaptive Offset Filtering (SAO) or Adaptive Loop Filtering (ALF). This avoids the implementation problems associated with too many loop filter stages and provides approximately the same compression efficiency gain as having separate loop filter stages.

Abstract: This application provides a method for predicting a point cloud attribute, an encoder, a decoder, and a storage medium. During point cloud attribute prediction, different selection policies for target adjacent points are designed according to the distribution of repetition points, to determine at least one target adjacent point of a target point, and attribute prediction is performed on the target point according to reconstructed attribute information of the at least one target adjacent point, thereby improving the efficiency and accuracy of point cloud attribute prediction.

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: An image coding method includes: deriving a candidate for a motion vector of a current block from a co-located motion vector; adding the candidate to a list; selecting the motion vector of the current block from the list; and coding the current block, wherein the deriving includes: deriving the candidate by a first derivation scheme in the case of determining that each of a current reference picture and a co-located reference picture is a long-term reference picture; and deriving the candidate by a second derivation scheme in the case of determining that each of the current reference picture and the co-located reference picture is a short-term reference picture.

Abstract: The present invention relates to a method for decoding a bitstream for a video signal including at least one precinct, and a device for same. Specifically, the present invention relates to a method, and a device for same, the method including: a step for demultiplexing packets of the current precinct among the at least one precinct into a plurality of first packets and a plurality of second packets; and a step for entropy-decoding the plurality of first packets and the plurality of second packets in parallel, wherein the plurality of first packets and the plurality of second packets are respectively entropy-decoded in parallel by a first entropy decoder engine and a second entropy decoder engine, the plurality of first packets include packet 0, packet 1, packet 4, packet 6, and packet 8, and the plurality of second packets include packet 2, packet 3, packet 5, packet 7, and packet 9.

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: Techniques for facilitating palette and infrared image generation systems and methods are provided. In one example, a method includes receiving user input indicative of a plurality of threshold temperatures to divide a temperature range into a plurality of temperature regions and a respective visual representation mode for each of the plurality of temperature regions. Each of the plurality of temperature regions is bound by at least one of the plurality of threshold temperatures. The respective visual representation mode for each of the plurality of temperature regions is a color mode or a grayscale mode. The method further includes generating a palette based on the user input. Related devices and systems are also provided.

Abstract: A system includes a diffractive optical element including at least one substrate and a grating structure. The grating structure is configured to diffract a first light having an incidence angle within a predetermined range, and the at least one substrate is configured to reflect a second light. The system also includes a polarization selective mechanism configured to generate images based on the first light and the second light, respectively.

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, system, device and computer-readable storage medium for inverse quantization. The method comprises: determining an initial weighted inverse quantization matrix, wherein, the initial weighted inverse quantization matrix is the same as the quantized block in size; setting some matrix elements in the initial weighted inverse quantization matrix to zero to obtain a weighted inverse quantization matrix, wherein, determining the matrix elements that need to be zeroed according to the size of the quantized block; weighted inverse quantizing the quantized coefficients in the quantized block to generate corresponding inverse transform coefficients, wherein, the value of the matrix element corresponding to the position of the quantized coefficient in the weighted inverse quantization matrix is used as a weight coefficient of the weighted inverse quantization.

Abstract: Methods and systems for non-destructive, stabilization-based encoder optimization. A video item to be provided to one or more users of a platform is identified. An indication of a motion is identified between an initial video frame of a video sequence associated with the video item and a subsequent video frame of the video sequence. One or more motion stabilization transformations are applied to the video item to modify the motion between at least the initial frame and the subsequent frame. Upon applying the one or more motion stabilization transformations to the video item, the video item is encoded. The encoded video item and one or more instructions to cause the client device to reverse the one or more motion stabilization transformations applied to the video item after decoding the encoded video item are transmitted to a client device connected to the platform.

Abstract: An imaging system of the present disclosure includes an event detection device that detects, as an event, that a luminance change of a pixel that photoelectrically converts incident light exceeds a predetermined threshold, an imaging device that captures an image at a fixed frame rate, and a control section that controls the event detection device and the imaging device, and is mounted on and used in a moving body. Then, the control section performs control to acquire image information of a region including the event by the imaging device in response to the event detection device detecting the event. Furthermore, an object recognition system of the present disclosure detects an event by the event detection device under the control of the control section, acquires image information of a region including the event by the imaging device, and performs object recognition based on the acquired image information.

Abstract: Vehicles and related systems and methods are provided for classifying detected objects in a location-dependent manner using localized models in a federated learning environment. A method involves obtaining sensor data for a detected object external to the vehicle from a sensor of a vehicle, obtaining location data associated with the detected object, obtaining a local classification model associated with an object type, assigning the object type to the detected object based on an output by the local classification model as a function of the sensor data and the location data using the local classification model, and initiating an action at the vehicle responsive to assigning the object type to the detected object.

Abstract: An image capturing module includes a light filter, a meta-lens layer, and a photosensitive element. The light filter includes a light receiving surface and a light emitting surface opposite to each other. The meta-lens layer and the light filter are disposed side by side with each other. The meta-lens layer includes a light transmitting film and a plurality of microstructures. Each microstructure is arranged on the light transmitting film. The photosensitive element includes a photosensitive surface. The photosensitive surface faces to the meta-lens layer and the light emitting surface of the light filter, wherein the photosensitive surface has a plurality of pixels, and each pixel corresponds to each microstructure.

Abstract: A three-dimensional data encoding method of encoding three-dimensional points obtained by a sensor includes: encoding local coordinate information indicating sets of local coordinates that are coordinates of the three-dimensional points and are dependent on a location of the sensor; and generating an encoded bitstream including the local coordinate information encoded and global coordinate information indicating global coordinates that are coordinates of a reference point or at least one of the three-dimensional points and are independent from the location of the sensor.

Abstract: An encoder includes circuitry and memory coupled to the circuitry. In operation, the circuitry: derives a motion vector of a current block by referring to at least one reference picture different from a picture to which the current block belongs; performs a mode for estimating, for each sub-block unit of sub-blocks obtained by splitting the current block, a surrounding region of the motion vector to correct the motion vector; determines whether to apply deblocking filtering to each of boundaries between neighboring ones of the sub-blocks; and applies the deblocking filtering to the boundary, based on a result of the determination.

Abstract: A vehicular vision system includes a camera fixedly mounted at a vehicle. The camera has a central viewing axis that bisects a total available field of view exterior of the vehicle of the camera into an at least 90 degrees zone to the left and to the right of the central viewing axis. During a driving maneuver of the vehicle, a video display screen displays video images representative of a reduced field of view of the camera that is less than the total available field of view exterior of the vehicle. During the driving maneuver of the vehicle, and as the steering angle of the vehicle is adjusted toward the right side or left side of the vehicle, the reduced field of view of the camera digitally pans toward the respective right side or left side of the total available field of view exterior of the vehicle of the camera.

Abstract: A video transmitting device includes a first wireless transmitting unit and a second wireless transmitting unit, and includes a wireless transmitting unit to wirelessly make communication with a video receiving device, a content compressing unit configured to compress an Audio-Video (AV) signal, and a processor to transmit the compressed AV signal in a first frequency band to the video receiving device through the first wireless transmitting unit and configured to transmit an uncompressed control signal, which contains information on the AV signal in a second frequency band lower than the first frequency band, to the video receiving device through the second wireless transmitting unit.