Abstract: The present invention provides an information processing apparatus comprising: an obtainer configured to, in a process of supplying a curable composition onto a substrate or a mold and forming a film of the curable composition in a space between the substrate and the mold, obtain the captured image of the curable composition; a generator configured to generate a predicted image representing a prediction result of a behavior of the curable composition on the substrate in the process; and a display controller configured to display, on a display unit, the captured image and the predicted image to be comparable to each other.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-readable storage media, for automated camera positioning for feeding behavior monitoring. In some implementations, a system obtains an image of a scene, a spatial model that corresponds to a subfeeder, and calibration parameters of a camera, the system determines a size of the subfeeder in the image of the scene, the system selects an updated position of the camera relative to the subfeeder, the system provides the updated position of the camera relative to the subfeeder to a winch controller, and the system moves the camera to the updated position.

Abstract: Monitoring operations of a polishing system includes obtaining a time-based sequence of reference images of a component of the polishing system performing operations during a test operation of the polishing system, receiving from a camera a time-based sequence of monitoring images of an equivalent component of an equivalent polishing system performing operations during polishing of a substrate, determining a difference value for the time-based sequence of monitoring images by comparing the time-based sequence of reference images to the time-based sequence of monitoring image using an image processing algorithm, determining whether the difference value exceeds a threshold, and in response to determining the difference value exceeds the threshold, indicating an excursion.

Abstract: Methods (1100, 1300) and apparatuses (600, 1200) for video coding and decoding are provided. The method of video encoding includes accessing (1110) a reconstructed block corresponding to a block in a picture of a video, determining (1120) at least one filter pattern based on a property of the block and filtering (1130) the reconstructed block according to the at least one filter pattern. The method of video decoding includes accessing (1310) a reconstructed block corresponding to a block in a picture of an encoded video, determining (1320) at least one filter pattern based on a property of the block and filtering (1330) the reconstructed block according to the at least one filter pattern. A bitstream formatted to include encoded data, a computer-readable storage medium and a computer program product are also described.

Abstract: There is included a method and apparatus comprising computer code configured to cause a processor or processors to perform obtaining video data comprising data of a plurality of semantically independent source pictures, determining, among the video data, whether references are associated with any of a first access unit (AU) and a second AU according to at least one picture order count (POC) signal value included with the video data, and outputting a first quantity of the references set to the first AU and a second quantity of the references set to the second AU based on the at least one POC signal value.

Abstract: A system for monitoring a switchgear includes: an infrared camera for acquiring at least one infrared image of the switchgear; a processing unit for determining a pixel in the at least one infrared image associated with a hottest temperature, determining e pixels in the at least one infrared image associated with a temperature that is within a threshold temperature of the hottest temperature, and determining that a hot spot exists in the switchgear as a determination, the determination being a utilization of the determined pixels in the at least one infrared image; and an output unit for outputting an indication of a fault in the switchgear based on the determined hot spot.

Abstract: There is included a method and apparatus comprising computer code configured to cause a processor or processors to perform obtaining video data comprising data of a plurality of semantically independent source pictures, determining, among the video data, whether references are associated with any of a first access unit (AU) and a second AU according to at least one picture order count (POC) signal value included with the video data, and outputting a first quantity of the references set to the first AU and a second quantity of the references set to the second AU based on the at least one POC signal value.

Abstract: An apparatus is provided and includes processing circuitry that determines a plurality of first sub-block motion vectors for a plurality of sub-blocks of a current block. The processing circuitry determines a plurality of second sub-block motion vectors by respectively constraining the plurality of first sub-block motion vectors according to a first target range. The processing circuitry determines a set of gradient values associated with a current sample location in a current sub-block from the plurality of sub-blocks according to a reference sub-block. The processing circuitry determines a set of adjustment values associated with the current sample location according to the set of gradient values and an adjustment vector associated with the current sample location. Further, the processing circuitry generates a predicted sample associated with the current sample location according to a combination of a corresponding sample in the reference sub-block and the set of adjustment values.

Abstract: Provided is a processing apparatus (10) including a person detection unit (11) that detects a person from an image generated by a camera that photographs a target area, a computation unit (12) that analyzes the image and computes, for each person, a stay time in the target area and a degree of bias of an appearance position in the target area, and a target person extraction unit (13) that extracts a target person who is a person for whom a computation result by the computation unit (12) satisfies a predetermined condition.

Abstract: The present application provides a video data processing method and device, a server, a terminal, and a storage medium. The method includes: determining a sphere region of an omnidirectional video, and one or more zoom regions of the sphere region on a projected picture of the omnidirectional video; and decoding and playing video data of the one or more zoom regions of the sphere region on the projected picture of the omnidirectional video, in response to a zoom operation on the sphere region of the omnidirectional video.

Abstract: An apparatus for video decoding includes processing circuitry. The circuitry can be configured to receive a syntax element indicating whether a prediction refinement with optical flow (PROF) is disabled for affine prediction. Further, the circuitry can determine whether to apply the PROF to an affine coded block based on the syntax element. Responsive to the syntax element indicating not to apply the PROF to the affine coded block, the circuitry can disable the PROF to the affine coded block.

Abstract: A system detects multiple instances of an object in a digital image by receiving a two-dimensional (2D) image that includes a plurality of instances of an object in an environment. For example, the system may receive the 2D image from a camera or other sensing modality of an autonomous vehicle (AV). The system uses a first object detection network to generate a plurality of predicted object instances in the image. The system then receives a data set that comprises depth information corresponding to the plurality of instances of the object in the environment. The data set may be received, for example, from a stereo camera of an AV, and the depth information may be in the form of a disparity map. The system may use the depth information to identify an individual instance from the plurality of predicted object instances in the image.

Abstract: An information processing apparatus includes an acquisition unit configured to acquire a plurality of captured images of a traveling surface where a movable apparatus travels, each of the captured images including distance information in a depth direction transverse to the traveling surface, the plurality of captured images having been captured using a plurality of stereo image capture devices, and an image processing unit configured to stitch together the plurality of images of the traveling surface captured by the plurality of stereo image capture devices by identifying partially overlapping portions of one or more pairs of the images captured by respective stereo image capture devices which are adjacent in a width direction of the traveling surface.

Abstract: Video coding may include generating, by a processor executing instructions stored on a non-transitory computer-readable medium, an encoded frame by encoding a current frame from an input bitstream, by generating a reference coframe spatiotemporally corresponding to the current frame, wherein the current frame is a frame from a sequence of input frames, wherein each frame from the sequence of input frames has a respective sequential location in the sequence of input frames, and wherein the current frame has a current sequential location in the sequence of input frames, and encoding the current frame using the reference coframe. Video coding may include including the encoded frame in an output bitstream and outputting the output bitstream.

Abstract: The present disclosure discloses an object detection method used in an object detection apparatus that includes the steps outlined below. An image signal received from an image sensor is detected to generate an image detection signal when an image variation is detected. An infrared signal received from an infrared sensor is detected to generate an infrared detection signal when an infrared energy variation is detected. A time counting process is initialized when the image detection signal is generated. An object detection signal is generated when the infrared detection signal is generated within a predetermined time period after the time counting process is initialized. A detection distance of the image sensor is larger than a detection distance of the infrared sensor.

Abstract: Systems, apparatus, methods, and articles of manufacture for Artificial Intelligence (AI) theft prevention and recovery, such as by utilizing image object analysis to identify and report pilfering-type cargo or materials theft events.

Abstract: A method, apparatus and computer program product are provided to estimate the location of a vehicle based at least in part upon two or more road signs that are depicted by one or more images captured by one or more image capture devices onboard the vehicle. By relying at least in part upon the two or more road signs, the location of the vehicle may be refined or otherwise estimated with enhanced accuracy, such as in instances in which there is an inability to maintain a line-of-sight with the satellites of a satellite positioning system or otherwise in instances in which the location estimated based upon reliance on satellite or radio signals is considered insufficient. As a result, the vehicle may be navigated in a more informed and reliable manner and the relationship of the vehicle to other vehicles may be determined with greater confidence.

Abstract: An electronic system including a display device, an image sensor, a face detection engine, an eye detection engine and an eye protection engine is provided. The image sensor captures an image. The face detection engine recognizes a user face in the image. The eye detection engine recognizes user eyes in the image. The eye protection engine turns off the display device when the user eyes are recognized in the image but the user face is not recognized in the image.

Abstract: An image processing apparatus and method of extracting a second RGB feature point and a second ToF feature point such that a correlation between the first RGB feature point and the first ToF feature point is equal to or greater than a predetermined value; calculating an error value between the second RGB feature point and the second ToF feature point; updating pre-stored calibration data when the error value is greater than a threshold value, and calibrating the RGB image and the ToF image by using the updated calibration data; and synthesizing the calibrated RGB and ToF images.

Abstract: An improved camera system includes an uncooled thermal imaging sensor, a rotary actuator, a rotary encoder, and a slip ring. The rotary actuator is physically coupled to the uncooled thermal imaging sensor and enables the sensor to rotate a full 360 degrees any number of times relative to the system's horizontal base. Through the use of the slip ring, the sensor and the sensor's wiring can rotate freely without impedance. Notably, the sensor's wiring can be disposed through a central through-hole running the length of the rotary actuator. Therefore, prior to reaching the slip ring, the sensor and its wiring rotate in unison with the rotary actuator. The encoder is structured to monitor the angular position of the sensor in order to accurately determine where the sensor is being aimed.