Abstract: The disclosure provide methods and content consumption devices that enable a scene, for example a 360° scene, that is larger (i.e. has more pixels in at least one dimension) than a display format of the content consumption device to be displayed. Constituent scene views are received individually by the content consumption device, for example as broadcasts, and are combined, for example stitched together, at the content consumption device to output a part of the scene that fits in the display format. The part of the scene (and hence the required constituent streams) to be displayed are determined by a signal, for example a navigational input from a user, enabling the user to navigate in the scene.

Abstract: According to the present invention, there is provided A method of encoding a three-dimensional (3D) image, the method comprising: determining a prediction mode for a current block as an inter prediction mode; determining whether a reference block corresponding to the current block in a reference picture has motion information; when the reference block has the motion information, deriving motion information on the current block for each sub prediction block in the current block; and deriving a prediction sample for the current block based on the motion information on the current block.

Abstract: A program map table in a transport stream comprising an elementary stream identifier indicating a particular elementary stream, a high dynamic range flag indicating the presence or absence of high dynamic range content within the elementary stream, and a wide color gamut flag indicating the presence or absence of wide color gamut content within the elementary stream.

Abstract: An augmented reality system may include a data gathering device configured to collect data regarding an environment exterior to the vehicle. In addition, the system may include a vehicle controller including a device processor and a non-transitory computer readable medium including instructions, executable by the processor, for performing the following steps: receiving data from the data gathering device; and transmitting information to a set of augmented reality goggles in order to facilitate a projection of a modified view of an interior of the vehicle based on the data collected regarding the environment exterior to the vehicle.

Abstract: Computer processor hardware receives image data specifying element settings for each image of multiple original images in a sequence. The computer processor hardware analyzes the element settings across the multiple original images. The computer processor hardware then utilizes the element settings of the multiple original images in the sequence to produce first encoded image data specifying a set of common image element settings, the set of common image element settings being a baseline to substantially reproduce each of the original images in the sequence.

Abstract: An apparatus for video coding includes processing circuitry that encodes prediction information of a current block in a video bitstream. The prediction information indicates a first set of intra prediction direction mode numbers for the current block. The processing circuitry determines whether a first intra prediction direction mode number of a neighboring block of the current block is in the first set of intra prediction direction mode numbers. In response to the first intra prediction direction mode number not being in the first set of intra prediction direction mode numbers, the processing circuitry determines a most probable mode for the current block based on a second intra prediction direction mode number in the first set of intra prediction direction mode numbers that is nearest to the first intra prediction direction mode number. The processing circuitry encodes the current block based on the most probable mode of the current block.

Abstract: A method of data encoding input data values of a data set for encoding includes selecting one of a plurality of complementary sub-ranges of a set of code values according to the value of a current input data value, the set of code values being defined by a range variable, assigning the current input data value to a code value within the selected sub-range, modifying the set of code values in dependence upon the assigned code value and the size of the selected sub-range, detecting whether the range variable defining the set of code values is less than a predetermined minimum size and if so, successively increasing the range variable so as to increase the size of the set of code values until it has at least the predetermined minimum size and outputting an encoded data bit in response to each such size-increasing operation, and after encoding a group of input data values, setting the range variable to a value selected from a predetermined subset of available range variable values, each value in the subset having

Abstract: Various aspects of the subject technology relate to prediction of eye movements of a user of a head-mountable display device. Predictive foveated display systems and methods, using the predicted eye movements are also disclosed. Predictive variable focus display systems and methods using the predicted eye movements are also disclosed. Predicting eye movements may include predicting a future gaze location and/or predicting a future vergence plane for the user's eyes, based on the current motion of one or both of the user's eyes. The predicted gaze location may be used to pre-render a foveated display image frame with a high-resolution region at the predicted gaze location. The predicted vergence plane may be used to modify an image plane of a display assembly to mitigate or avoid a vergence/accommodation conflict for the user.

Abstract: Techniques for providing content aware uniform quality for quality-defined variable bitrate encoding of videos are described. According to some embodiments, a computer-implemented method includes receiving a request at a content delivery service to encode a live video at a quality level of a plurality of quality levels of a quality-defined variable bitrate encoding, determining features for a frame of the live video, generating a first predicted quantization parameter for the frame by a first machine learning model, trained for a first objective quality metric, receiving an input of the features and the quality level, performing a real time encode of the live video based at least in part on the first predicted quantization parameter to generate an encoded live video, and transmitting the encoded live video to a viewer device.

Abstract: A method comprising: encoding at least four bitstream versions of a same content divided into segments of independently coded tile sets representing a plurality of spatial regions, wherein a first and a second bitstream comprise independently coded tile sets encoded at a first quality, and a third and a fourth bitstream comprise independently coded tile sets encoded at a second quality, wherein the first and the third bitstream have first random access picture interval and the second and the fourth bitstream have second random access picture interval, which is an integer multiple of the first random access picture interval; grouping the independently coded tile sets of all four bitstreams representing a common spatial region into a plurality of groups of collocated sub-picture tracks, wherein only one of said tile sets per group is intended to be received and/or decoded per any segment; and generating at least one instruction for merging tile sets of different spatial locations into at least one coded picture

Abstract: A monitoring device includes an image capturing module, a photosensitive element, a first processing module and a second processing module. The photosensitive element obtains a lighting parameter of a monitored environment. The first processing module is electrically connected to the photosensitive element, stores the lighting parameter, and continuously updates the lighting parameter. The second processing module is electrically connected to the image capturing module and the first processing module, and the second processing module has a sleep mode. The second processing module includes an exposure function control unit. When the second processing module is awakened and converted to a recording mode, the exposure function control unit receives the updated lighting parameter from the first processing module and calculates an exposure parameter according to the lighting parameter to control the image capturing module.

Abstract: A video decoding method includes: decoding a part of a bitstream to generate a decoded frame, and parsing at least one syntax element from the bitstream. The decoded frame is a projection-based frame that includes projection faces packed in a cube-based projection layout. At least a portion of a 360-degree content of a sphere is mapped to the projection faces via cube-based projection. The at least one syntax element is indicative of a guard band configuration of the projection-based frame.

Abstract: A method for assembling a component to a structure includes determining, by a controller, a location on the structure for a placement of the component onto the structure. The method further includes activating, by the controller, a light source to project a visual indicator onto the location. The method also includes actuating, by the controller, a robotic implement to locate and position the component at the location based on the visual indicator projected onto the location.

Abstract: In a moving image decoding device for decoding encoded data of a tile group splitting a picture into one or more rectangular regions and consisting of one or more segments, a WPP enabled flag for indicating whether a segment in an object tile group is a CTU row having a height of one CTU is decoded, and when the WPP enabled flag is 1, after a CTU at a right end of the CTU row is decoded, an end bit of a first segment having a fixed value is decoded.

Abstract: A LIDAR system for use in a vehicle is provided. The LIDAR system may include at least one processor configured to control at least one light source for illuminating a field of view and scan a field of view by controlling movement of at least one deflector at which the at least one light source is directed. The at least one processor may also be configured to receive, from at least one sensor, reflections signals indicative of light reflected from an object in the field of view. The at least one processor may further be configured to detect at least one temporal distortion in the reflections signals, and determine from the at least one temporal distortion an angular orientation of at least a portion of the object.

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: 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: According to the present invention, there is provided A method of encoding a three-dimensional (3D) image, the method comprising: determining a prediction mode for a current block as an inter prediction mode; determining whether a reference block corresponding to the current block in a reference picture has motion information; when the reference block has the motion information, deriving motion information on the current block for each sub prediction block in the current block; and deriving a prediction sample for the current block based on the motion information on the current block.

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: Proposed are a method and apparatus for evaluating the quality of an image, the method including obtaining blocks each having a predetermined size by splitting a target image for evaluating a quality and a reference image that is to be compared with the target image, determining sensitivity information and quality assessment information of each of the blocks by inputting the blocks to a video quality assessment network, and determining a final image quality assessment score of the target image by combining the pieces of quality assessment information of the blocks with each other, based on the pieces of sensitivity information of the blocks.