Abstract: An image signal decoding method according to the present invention comprises the steps of: decoding information indicating whether a current block is encoded using a multi-mode intra prediction; when it is determined that the current block is encoded in the multi-mode intra prediction, dividing the current block into a plurality of partial blocks; and obtaining an intra prediction mode of each of the plurality of partial blocks.

Abstract: Artificial image generation may include obtaining a source image, identifying quantization information from the source image, wherein identifying the quantization information includes identifying multiresolution quantization interval information from the source image, generating a restoration filtered image by restoration filtering the source image, generating a constrained restoration filtered image by constraining the restoration filtered image based on the quantization information, obtaining an unconstrained artificial image based on the constrained restoration filtered image and a generative artificial neural network obtained using a generative adversarial network, obtaining the artificial image by constraining the unconstrained artificial image based on the quantization information, and outputting the artificial image.

Abstract: An image signal decoding method according to the present invention comprises the steps of: decoding information indicating whether a current block is encoded using a multi-mode intra prediction; when it is determined that the current block is encoded in the multi-mode intra prediction, dividing the current block into a plurality of partial blocks; and obtaining an intra prediction mode of each of the plurality of partial blocks.

Abstract: One broad aspect of the invention features a display case door. The display case door includes a transparent panel assembly, hinges, a camera, and a sensor. The hinges are coupled at a first peripheral edge of the transparent panel assembly. The camera is coupled to the transparent panel proximate to a second peripheral edge of the transparent panel assembly opposite the first peripheral edge. The camera is arranged to capture images of the interior of a display case with the display case door mounted to the display case. The sensor is coupled to the transparent panel assembly, and is in electronic communication with the camera. The sensor is configured to generate a signal that indicates that the display case door is in an open position. The camera is configured to capture an image of the interior of the display case based on the signal generated by the sensor.

Abstract: A method for decoding a video according to the present invention may comprise: determining whether to divide a current block with quad tree partitioning, and dividing the current block into four partitions based on a vertical line and a horizontal line when it is determined that the current block is divided with the quad tree partitioning.

Abstract: An image encoding device for block-dividing and encoding an original image of a frame unit constituting a moving image is disclosed that includes a predictor circuitry configured to generate a predicted image, a weighted average processor configured to generate a block of a new predicted image, a prediction residual signal generator circuitry configured to calculate an error of each prediction signal of the block of the predicted image and to generate a prediction residual signal, a sub-block divider circuitry configured to divide the prediction residual signal configured to divide the predict residual signal, and a transformation selection applier circuitry configured to selectively apply a plurality of types of transformation processes for a divided sub-block of the prediction residual signal.

Abstract: According to one aspect, a computer-implemented method of discovering processes for robotic process automation (RPA) includes: recording a plurality of event streams, each event stream corresponding to a human user interacting with a computing device to perform one or more tasks; concatenating the event streams; segmenting some or all of the concatenated event streams to generate one or more individual traces performed by the user interacting with the computing device, each trace corresponding to a particular task; clustering the traces according to a task type; identifying, from among some or all of the clustered traces, one or more candidate processes for robotic automation; prioritizing the candidate processes; and selecting at least one of the prioritized candidate processes for robotic automation. Further aspects building upon the above include generating RPA models to perform tasks determined to be processes for RPA. Corresponding systems and computer program products are also described.

Abstract: In a digital contents receiver for receiving transmitted digital contents, the digital contents include at least component information indicating an element which constitutes a program of the contents. When the component information indicates that the received digital contents are a 3D component, it is determined whether a display part corresponds to display of the 3D component. If the display part corresponds to display of the 3D component, the received digital contents are displayed in 3D.

Abstract: A recognition processor performs recognition processing to recognize an external environment of a mobile object, based on image data acquired by an imaging unit that takes an image of an external environment of the mobile object. The recognition processor includes a plurality of arithmetic cores. The plurality of arithmetic cores include a recognition processing core that performs the recognition processing, and an abnormality detection core that detects an abnormality of a data processing system including the imaging unit and the recognition processor, based on the abnormality of the output from the recognition processing core.

Abstract: A control apparatus for stitch imaging makes a first determination, or a second determination, and a display control unit configured to control a display of a display unit according to whether the determination made by the determination unit is the first determination or the second determination.

Abstract: Auto exposure processing for spherical images improves image quality by reducing visible exposure level variation along a stitch line within a spherical image. An average global luminance value is determined based on auto exposure configurations of first and second image sensors. Delta luminance values are determined for each of the image sensors based on the average global luminance value and a luminance variance between the image sensors. The auto exposure configurations of the image sensors are then updated using the delta luminance values, and the updated auto exposure configurations are used to capture images which are then combined to produce the spherical image. In some cases wherein updating the auto exposure configurations using the delta luminance values would breach a threshold representing a target luminosity for the scene, the use of the delta luminance values may be limited or those values may instead be discarded.

Abstract: An image encoding/decoding method and apparatus are provided. An image encoding method performed by an image encoding apparatus may comprise determining an intra-prediction mode of a current block, configuring a reference sample of intra prediction by using at least one of a neighbor pixel of the current block in a current picture and a pixel of a reference picture, and performing intra prediction for the current block based on the intra-prediction mode and the reference sample.

Abstract: Systems and methods of adaptive streaming are discussed. Transcoded copies of a source stream may be aligned with one another such that the independently specified portions of each transcoded stream occur at the same locations within the content. These transcoded copies may be produced by one or more transcoders, whose outputs are synchronized by a delay adjuster. A fragmenter may use the synchronized and aligned streams to efficiently produce fragments suitable for use in adaptive streaming.

Abstract: A method includes receiving an input video stream and scaling the input video stream into two or more spatial layers. For each spatial layer, the method also includes generating a temporal layer prediction pattern by: obtaining a temporal base layer for a corresponding spatial layer; identifying, based on the temporal base layer, a plurality of temporal layers and a plurality of temporal time slots during a temporal period; and aligning the temporal base layer for the corresponding spatial layer with one of the temporal time slots during the temporal period. Each temporal time slot is associated with one of the temporal base layer or one of the plurality of temporal layers for the corresponding spatial layer. The temporal base layer for each corresponding spatial layer is aligned with a different temporal time slot than each other temporal base layer for each other corresponding spatial layer.

Abstract: An apparatus for video decoding includes processing circuitry. The processing circuitry is configured to receive a syntax element in a bit stream indicating a maximum number of merge candidates on a merge candidate list for a set of coding blocks, and receive a merge with motion vector difference (MMVD) flag syntax element in the bit stream indicating that an MMVD mode is used to generate a motion vector predictor of a current block included in the set of coding blocks. The processing circuitry is further configured to infer a base candidate index of the MMVD mode to be a predetermined value when the maximum number of the merge candidates is less than 2.

Abstract: The present technology relates to a controller and a control method capable of providing an imaging system which achieves cost reduction. A control unit controls a first imaging direction of a first imaging unit and a second imaging direction of a second imaging unit as a direction different from the first imaging direction in accordance with a situation of an object associated with a first image captured by the first imaging unit or a second image captured by the second imaging unit. For example, the present technology is applicable to a lecture capture system.

Abstract: A vehicular trailer hitching assist system includes a rear backup camera disposed at a rear portion of a vehicle and a control disposed in the vehicle. A display device includes a video display screen operable to display video images for viewing by a driver of the vehicle. Responsive to the driver initiating a hitching maneuver event by engaging reverse gear of the vehicle, rear backup video images derived from image data captured by the rear backup camera are displayed at the video display screen. An overlay overlays the displayed rear backup video images and aids in guiding connection of a trailer hitch of the equipped vehicle to a trailer tongue of a trailer. Continued display of rear backup video images that are overlaid by the overlay is ceased upon elapse of a threshold period of time or upon exceeding a threshold speed or upon exceeding a threshold distance traveled.

Abstract: An image encoder or decoder includes circuitry and a memory coupled to the circuitry. The circuitry, in operation, predicts a first set of samples for a first partition of a current picture with one or more motion vectors including a first motion vector and predicts a second set of samples for a first portion of the first partition with one or more motion vectors from a second partition different from the first partition. The samples of the first set of samples of the first portion of the first partition and of the second set of samples of the first portion of the first partition are weighted. A motion vector for the first portion of the first partition is stored which is based on one or both of the first motion vector and the second motion vector. The first partition is encoded or decoded using at least the weighted samples of the first portion of the first partition.

Abstract: Provided is an information processing device that includes an acquisition unit that acquires an image captured by an imaging unit, a recognition unit that recognizes attributes of an object shown in the image captured by the imaging unit, and a generation unit that generates a bird's-eye view map showing the attributes of the object on the basis of the image captured by the imaging unit and information on the attributes of the object recognized by the recognition unit.

Abstract: Systems and methods for receiving a video feed from a trailer control module disposed in a vehicle trailer are described. One method includes aggregating a trailer front view, a trailer rear view, a trailer left view, and a trailer right view into an aggregated birds-eye view at a first control module disposed on the trailer, and sending the aggregated view to a vehicle towing the trailer via a single auxiliary video channel integrated into a trailer hitch wiring harness. The method further includes receiving the feed of the birds-eye view at the second control module disposed in the vehicle via the single auxiliary camera input channel, and displaying the trailer birds-eye view video feed at an output display disposed in a cabin of the towing vehicle. The birds-eye view may be output on a split screen in conjunction with a rear-view of the trailer, obtained from a vehicle camera system.