Abstract: Innovations in encoder-side decisions that use the results of hash-based block matching are presented. For example, some of the innovations relate to ways of building hash tables that include some (but not all) uniform blocks. Other innovations relate to ways of determining motion vector resolution based on results of hash-based block matching. Still other innovations relate to scene change detection, including long-term reference picture selection and picture quality determination during encoding.

Abstract: The present invention relates to a video signal decoding method and apparatus therefor. A decoding method according to an embodiment of the present invention comprises: setting a structure of a coding block constituting a current image; setting a structure of transform blocks corresponding to the coding block; and generating a prediction signal by using the transform blocks, and wherein the coding block includes any one or more blocks of a square block and a non-square block.

Abstract: A method of encapsulating entities in a file, wherein the method comprises for at least one entity: generating a grouping data structure associated with at least one of the entities, and indicating that the at least one of the entities belong to a same group; encapsulating the grouping data structure and the entities in the file; wherein the grouping data structure is a proprietary grouping data structure comprising an universally unique identifier identifying the type of the proprietary grouping.

Abstract: A stereo camera apparatus includes a first imaging unit including a first imaging optical system provided with a plurality of lens groups, and a first actuator configured to change a focal length by driving at least one of the plurality of lens groups of the first imaging optical system; a second imaging unit including a second imaging optical system provided with a plurality of lens groups, and a second actuator configured to change a focal length by driving at least one of the plurality of lens groups of the second imaging optical system; a focal length controller configured to output synchronized driving signals to the first and second actuators; and an image processing unit configured to calculate a distance to a subject by using images captured by the first imaging unit and the second imaging unit.

Abstract: Position detection methods and systems are disclosed herein. The position detection method of detecting a position in an operation surface pointed by a pointing element includes obtaining a first taken image with the first infrared camera, obtaining a second taken image with the second infrared camera, removing a noise component from the first and second images converting the first and second taken into converted images without the noise component, forming a difference image between the first converted taken image and the second converted taken image, extracting a candidate area in which a disparity amount between the first converted taken image and the second converted taken image is within a predetermined range, detecting a tip position of the pointing element from the candidate area, and determining a pointing position of the pointing element and whether or not the pointing element had contact with the operation surface based on the detecting.

Abstract: An image encoder for outputting a bitstream by encoding an input image includes a predictive block, a machine learning based prediction enhancement (MLBE) block, and a subtractor. The predictive block is configured to generate a prediction block using data of a previous input block. The MLBE block is configured to transform the prediction block into an enhanced prediction block by applying a machine learning technique to the prediction block. The subtractor is configured to generate a residual block by subtracting pixel data of the enhanced prediction block from pixel data of a current input block.

Abstract: One configuration as discussed herein includes a data processor acting as streaming server for providing streaming media from a repository to a decoder. The data processor retrieves reconstruction data and corresponding stream metadata from a repository, the reconstruction data encoded in accordance with a tiered hierarchy including multiple levels of quality. The data processor transmits selected portions of the reconstruction data to one or more decoder resources. The decoder resources reconstruct renditions of portions of a signal such as images/frames based on the transmitted portions of reconstruction data. During the transmission step, the data processor may vary a level of quality of the reconstruction data retrieved and transmitted to the decoder resource. The decoder resources decode the received reconstruction data to play back the signal at different levels of quality.

Abstract: A processing path generating method includes the following steps. An image-capturing device is moved to the first position of the region of interest to perform an image-capture on a workpiece, so as to obtain a first image. The image-capturing device is moved to a second position to perform the image-capture on the workpiece, so as to obtain a second image. A first edge characteristic and a second edge characteristic of the workpiece are obtained according to the first image and the second image. Three-dimensional edge information of the workpiece is fitted according to the first edge characteristic and the second edge characteristic. A processing path is generated according to the three-dimensional edge information.

Abstract: A depth camera assembly (DCA) has a light source assembly, a mask, a camera assembly, and a controller. The light source assembly includes at least one light source. The mask is configured to generate an interference pattern that is projected into a target area. The mask has two openings configured to pass through light emitted by the at least one light source, and the light passed through the two openings forms an interference pattern across the target area. The interference pattern has a phase based on a position of the light source. The camera assembly is configured to capture images of a portion of the target area that includes the interference pattern. The controller is configured to determine depth information for the portion of the target area based on the captured images.

Abstract: The present invention provides a method and apparatus for encoding/decoding an image to enhance inter prediction. According to the present invention, the method includes: determining a first reference picture and a second reference picture of a current block; determining both a first reference block in the first reference picture and a second reference block in the second reference picture; partitioning the current block into a plurality of sub blocks; and obtaining a prediction block of each of the sub blocks on the basis of reference candidate block index information of each of the sub blocks.

Abstract: An imaging device and method of imaging a region. The imaging device includes a first camera and a first light source set at a periphery of the first camera, a second camera separated from the first camera by a selected distance and a second light source set at a periphery of the second camera, and a processor configured to operate the first light source set and the second light source set independently of each other. The region is illuminated using the first light source and a first image is obtained. The region is illuminated using the second light source and a second image is obtained. At least one of the first image and the second image includes an illumination effect.

Abstract: According to one embodiment, a method for controlling an electronic device includes illuminating an object while moving a light emitting area formed by turning on light emitting elements simultaneously, capturing a shadow generated by the object by image sensing elements on a same substrate as the light emitting elements, and creating three-dimensional data about an outer shape of the object based on a shadow image.

Abstract: A sensor monitoring system includes a plurality of image capture devices. Each image capture device includes one or more sensors to detect image data representing an environment about the image capture device, communications circuitry to receive sensor data from a sensor device and remote sensor data including at least one of a second image of the sensor or second position data regarding the sensor device, and processing circuitry to validate the sensor device based on the sensor data, determine first position data regarding the sensor device based on at least one of the first network connection or the remote sensor data, determine that the sensor device is in an image capture range based on the first position data, retrieve one or more images of the sensor device, and generate an alert based on the first position data.

Abstract: A method for sending forward error correction (FEC) configuration information by a sending apparatus in a multimedia system is provided. The method includes sending source FEC configuration information for an FEC source packet to a receiving apparatus, wherein the source FEC configuration information includes information related to an FEC source or repair packet that is sent first among at least one FEC source or repair packet if an FEC source or repair packet block includes the at least one FEC source or repair packet.

Abstract: A method for a passive single-viewpoint 3D imaging system comprises capturing an image from a camera having one or more phase masks. The method further includes using a reconstruction algorithm, for estimation of a 3D or depth image.

Abstract: An example method includes receiving, from one or more sensors associated with an autonomous vehicle, sensor data associated with a target object in an environment of the vehicle during a first environmental condition, where at least one sensor of the sensor(s) is configurable to be associated with one of a plurality of operating field of view volumes. The method also includes based on the sensor data, determining at least one parameter associated with the target object. The method also includes determining a degradation in the parameter(s) between the sensor data and past sensor data, where the past sensor data is associated with the target object in the environment during a second environmental condition different from the first and, based on the degradation, adjusting the operating field of view volume of the at least one sensor to a different one of the operating field of view volumes.

Abstract: The present invention relates to a method and apparatus for processing video image data, so as to apply different types of processing to different aspects of video image data. A detection process is arranged to detect a item, object or event appearing or occurring in a scene being viewed by an image device. An image data process is responsive to the detection of the object or event and to control information to process the image data for a portion of the scene where the object or event appears or occurs, differently from the processing of the image data associated with the rest of scene. For example, the object may be a person's face, and the face image data may be processed to produce high resolution data, the rest of the scene being provided in low resolution. This saves on processing, transmission and storage.

Abstract: Embodiments of the invention are directed to a computer-implemented method that includes using a reinforcement learning (RL) system to generate a first set of displayed region candidates based on inputs received from online users while watching video. A recommendation system is used to rank the first set of displayed region candidates based on inputs received from a local user watching video. The recommendation system is further used to select a first highest ranked one of the first set of displayed region candidates. Based on the first highest ranked one of the first set of displayed region candidates, a first section of a first raw video frame is fetched that matches the first highest ranked one of the first set of displayed candidate regions, wherein the first section of the first raw video frame includes a first predicted display region of the video frame.

Abstract: The invention relates to an automatic calibration method for image arrangement of a naked-eye 3D display screen and electronic device. The method comprise: S1, displaying a first 3D test image on a display screen according to a preset viewing distance, and acquiring a mirror image of the first 3D test image in a flat mirror through a camera, wherein the first 3D test image comprises a first monochrome 3D left image and a black 3D right image; S2, adjusting a 3D display rotation angle and a left-right offset of a display screen according to a preset algorithm, acquiring a mirror image and acquiring the number of effective pixel points of the largest pixel block in each mirror image; S3, taking the 3D display rotation angle and the left-right offset corresponding to the mirror image to which the selected maximum effective pixel point number belongs as calibration parameters.

Abstract: Systems and methods are disclosed for dynamic image capture and processing. In one implementation, a processing device receives a first video stream, the first video stream being captured via an optical sensor configured with a first set of capture parameters. The processing device processes the first video stream with a first set of processing parameters. The processing device receives a second video stream, the second video stream being captured via the optical sensor configured with a second set of capture parameters. The processing device processes the second video stream with a second set of processing parameters. The processing device provides an output based on at least one of (a) the first video stream, as processed, or (b) the second video stream, as processed.