Abstract: Described is a method of calibrating a camera. The method comprises obtaining geographical coordinates of a selected physical point location within an image view of the camera and measuring an angle between an x-axis of a real-world coordinate system passing through said selected point location with respect to true north. The method includes using said obtained geographical coordinates, said measured angle, and projection data derived from characteristics of the camera to derive modified projection data for transforming a two-dimensional pixel coordinate system of the camera image view into a three-dimensional geographical coordinate system for point locations within the image view of the camera.

Abstract: A method of video decoding includes determining, for a current block of a picture, one of a plurality of reference lines. The method includes determining an intra prediction mode for the current block in accordance with the determined one of the plurality of reference lines. The method further includes performing intra prediction for the current block based on the determined intra prediction mode and one or more samples included in the determined one of the plurality of reference lines. The plurality of reference lines includes an adjacent reference line that is adjacent to the current block and at least one non-adjacent reference line that is not adjacent to the current block, and each of the at least one non-adjacent reference line is associated with a decreasing number of intra prediction modes with respect to a direction away from the current block.

Abstract: An image decoding method according to the present document includes obtaining motion prediction information for a current block from a bitstream, generating an affine MVP candidate list for the current block, deriving CPMVPs for CPs of the current block based on the affine MVP candidate list, deriving CPMVDs for the CPs of the current block based on the motion prediction information, deriving CPMVs for the CPs of the current block based on the CPMVPs and the CPMVDs, and deriving prediction samples for the current block based on the CPMVs.

Abstract: A target identification method includes receiving target detection information for a current target from a device, and acquiring target state information of multiple reference targets. A degree of matching between the target detection information and the target state information of each of the multiple reference targets is determined; and the current target is associated with a corresponding reference target having a best degree of matching amongst the multiple reference targets.

Abstract: A system and method of automatically activating a windshield wiper system of a vehicle having a front windshield with a front wiper and a rear windshield with a rear wiper are provided. The method comprises assessing at least one windshield classification of road conditions based on original information and capturing a front image of the front windshield, a rear image of the rear windshield, and an environment image of the environment. The method further comprises classifying the images to define a first windshield class. The method further comprises determining a front windshield perception, a rear windshield perception, and an environment perception of the first windshield class to define a first combination of detection sources. The method further comprises fusing the front windshield perception, the rear windshield perception and the environment perception, defining a first front probability of the first windshield class.

Abstract: A method for processing a video includes performing a determination, by a processor, that a first video block is partitioned to include a first prediction portion that is non-rectangular and non-square; adding a first motion vector (MV) prediction candidate associated with the first prediction portion to a motion candidate list associated with the first video block, wherein the first MV prediction candidate is derived from a sub-block MV prediction candidate; and performing further processing of the first video block using the motion candidate list.

Abstract: A three-dimensional shape measuring method includes: projecting a first grid pattern based on a first light and a second grid pattern based on a second light onto a target object in such a way that the first grid pattern and the second grid pattern intersect each other, the first light and the second light being lights of two colors included in three primary colors of light; picking up, by a three-color camera, an image of the first grid pattern and the second grid pattern projected on the target object, and acquiring a first picked-up image based on the first light and a second picked-up image based on the second light; and performing a phase analysis of a grid image with respect to at least one of the first picked-up image and the second picked-up image and calculating height information of the target object.

Abstract: An apparatus, method and computer program product are provided for determining a state of visibility of a road object, such as a road sign, using vehicle sensor data. For example, the apparatus determines whether one or more sensors of a first vehicle observes a road sign. If the road sign is not observed by the one or more sensors, the apparatus determines whether one or more second vehicles is obscuring the road sign. If the one or more second vehicles is not obscuring the road sign, the apparatus determines whether the road sign is obscured due to a weather condition. If the road sign is obscured due to the weather condition, the apparatus generates a signal indicating that the road sign was obscured due to the weather condition.

Abstract: A method, computer program, and computer system is provided for coding video data. Video data having a coding tree unit size is received. The coding tree unit size associated with the video data is signaled by setting two or more flags. The video data is encoded/decoded based on the flags corresponding to the signaled coding tree unit size.

Abstract: A system and method, optionally implemented in a hardware circuitry, to receive a global positioning system pulse per second, GPS PPS, signal generated by a GPS receiver in a vehicle having a plurality of sensors; monitor the GPS PPS signal for an indication of a presence and a frequency of the GPS PPS signal within a predetermined threshold; generate a generated PPS signal synchronized with the GPS PPS signal; generate, based on an input of the generated PPS signal, a plurality of trigger signals, each of the generated plurality of trigger signals being selectively programmatically adjustable in at least one of a frequency and a phase, the selectively adjustability of each of the generated plurality of trigger signals being independent of the other generated plurality of trigger signals; and transmit at least one of the generated plurality of trigger signals to one or more of the sensors.

Abstract: A medical signal processing device includes: an acquisition unit is configured to acquire a first image signal acquired by emission of first light onto an object, and a second image signal acquired by emission of second light onto the object, the first light being in a wavelength band including visible light, and the second light exciting a fluorescent substance included in the object; a detection unit configured to detect each of a signal level of the visible light included in the first image signal and a signal level of fluorescence included in the second image signal; and a calculation unit configured to calculate a correction coefficient to correct the signal level of the fluorescence by using a result of the detection by the detection unit.

Abstract: Methods, endoscopic systems, and non-transitory, machine-readable storage media for adjusting an exposure of an endoscopic system are described. In an embodiment, the methods include emitting light with a light source into a proximal end of an endoscope light pipe; generating received light signals with a photodetector based on light received through the endoscope light pipe by the photodetector; displaying, with a display module, images based on the received light signals having a current image brightness; monitoring the received light signals for changes to the current image brightness; and adjusting a light source illuminance level, and in some embodiments a photodetector gain and exposure time, based on the current image brightness to maintain a target image brightness of the display module. In an embodiment, a brightness adjustment step size is less than a just-noticeable difference in brightness of an eye and is directly proportional to the current image brightness.

Abstract: A method and system for determining flight height of an unmanned aerial vehicle (UAV) includes a determining device that includes a camera at bottom of the UAV carried on a three-axis self-stabilizing tripod head; and a carrier phase difference satellite positioning system (CPDSPS), a graphics processing computer (GPC) and a power supply system provided on top of the UAV The GPC is connected with the CPDSPS, the power supply system and the camera, respectively. An attitude and heading reference system (AHRS) is provided at the bottom of the three-axis self-stabilizing tripod head and connected with the GPC The GPC is configured to determine relative height of the UAV from a canopy of farmland surface crops according to position information acquired by the CPDSPS, attitude information acquired by the AHRS and ground orthographic image acquired by the camera, and determine flight height of the UAV according to the relative height.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for two-phase encoding a digital video based on downsampling distortion of the digital video and a constant rate factor transition threshold. For example, the disclosed system can determine a downsampling distortion indicating a measure of distortion resulting from downsampling an input digital video. The disclosed systems can utilize the downsampling distortion to determine a constant rate factor transition threshold for selecting sets of encoding parameters. For example, the disclosed systems can select a first set of encoding parameters below the constant rate factor transition threshold and a second set of encoding parameters at or above the constant rate factor transition threshold. Additionally, the disclosed systems can generate first and second sets of digital video encodings of the input digital video by utilizing the first and second sets of encoding parameters, respectively.

Abstract: The invention concerns a method for measuring parameters necessary for producing corrective spectacles using an instrument (1) comprising the following steps: S1: positioning the wearer at a predefined distance from the frame (2) of the instrument (1), S2: placing a screen (5) of the instrument (1) opposite the wearer and displaying at least one image, S3: placing the frame of the corrective spectacles on the face of the wearer, S4: substituting the screen (5) with a one-way mirror (4) of the instrument, S5: taking the measurements.

Abstract: A computer-implemented method for generating video representations utilizing a hierarchical video encoder includes obtaining a video, wherein the video includes a plurality of frames, processing each of the plurality of frames with a machine-learned frame-level encoder model to respectively generate a plurality of frame representations for the plurality of frames, the plurality of frame representations respective to the plurality of frames determining a plurality of segment representations representative of a plurality of video segments including one or more of the plurality of frames, the plurality of segment representations based at least in part on the plurality of frame representations, processing the plurality of segment representations with a machine-learned segment-level encoder model to generate a plurality of contextualized segment representations, determining a video representation based at least in part on the plurality of contextualized segment representations, and providing the video representati

Abstract: Disclosed is image encoding/decoding method using color coordinate axis conversion, comprising the steps of: acquiring pixel distribution information, on first color coordinate system, about an image; determining, on the basis of the pixel distribution information, first component having the widest variance from among the components of the first color coordinate system; acquiring an intermediate color coordinate system by rotating, around a starting point, a coordinate axes of the first color coordinate system so that variance of the first component is maximized; determining a second component having the widest variance from among components excluding the first component in the intermediate color coordinate system; acquiring a second color coordinate system by rotating, around the starting point, a coordinate axis of the intermediate color coordinate system so that variance of the second color component is maximized; and encoding the image on the basis of pixel distribution information on the second color coo

Abstract: System and method for improving the shaving experience by providing improved visibility of the skin shaving area. A digital camera is integrated with the electric shaver for close image capturing of shaving area, and displaying it on a display unit. The display unit can be integral part of the electric shaver casing, or housed in a separated device which receives the image via a communication channel. The communication channel can be wireless (using radio, audio or light) or wired, such as dedicated cabling or using powerline communication. A light source is used to better illuminate the shaving area. Video compression and digital image processing techniques are used for providing for improved shaving results. The wired communication medium can simultaneously be used also for carrying power from the electric shaver assembly to the display unit, or from the display unit to the electric shaver.

Abstract: A method of performing inter-picture prediction of a current picture of a video sequence is performed by at least one processor and includes determining whether the current picture uses a virtual reference picture, and based on the current picture being determined to use the virtual reference picture, generating, for the current picture, the virtual reference picture from neighboring reference pictures that are nearest neighbors to the virtual reference picture, storing the generated virtual reference picture in a decoded picture buffer, and adding the generated virtual reference picture to an active reference picture list. The method further includes performing the inter-picture prediction of the current picture, based on the active reference picture list to which the virtual reference picture is added.

Abstract: Provided are method and device for inverse quantization and inverse transformation and non-transitory computer-readable storage medium.