Abstract: A user may be aided in modifying a product that is an assemblage of parts. This aid may involve a processor obtaining images of a target part captured by the user on a mobile device camera. The processor may compare, based on the captured images and a plurality of images of identified parts, the target part to the identified parts. Based on the comparison, the processor may determine an identity of the target part. This aid may also involve a processor obtaining images of a first configuration of a partial assembly of the product captured by a mobile device camera. The processor may compare, based on the captured images, the first configuration to a correct configuration of the partial assembly. Based on the comparison, the processor may determine that the first configuration does not match the correct configuration and may notify the user accordingly.

Abstract: Disclosed are methods and apparatuses for decoding an image. A method includes receiving a bitstream obtained by encoding the image; dividing a first coding block into a plurality of second coding blocks; generating a prediction block of a second coding block based on syntax information obtained from the bitstream; and reconstructing the second coding block based on the prediction block and a residual block of the second coding block, the residual block being obtained by performing a dequantization and an inverse-transform on quantized transform coefficients from the bitstream. The first coding block has a recursive division structure. The first coding block is divided based on at least one of a quad tree division, a binary tree division or a triple tree division.

Abstract: The present technology relates to an image processing device, an image processing method, an endoscope system, and a program that enable motion detection with higher accuracy. The endoscope system includes: a light source capable of performing a pulsed-light emission; a light-source control unit that controls the light source such that the light source performs the pulsed-light emission a plurality of times in an exposure time period of each captured image; an imaging unit that takes the captured images; and a motion detection unit that detects a motion of a photographic subject in the captured images. The present technology is applicable to the endoscope system.

Abstract: Techniques regarding explanations for artificial intelligence recommendations are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory.

Abstract: In an embodiment, a method for tracking a target using a millimeter-wave radar includes: receiving radar signals using the millimeter-wave radar; generating a range-Doppler map based on the received radar signals; detecting a target based on the range-Doppler map; tracking the target using a track; generating a predicted activity label based on the track, where the predicted activity label is indicative of an actual activity of the target; generating a Doppler spectrogram based on the track; generating a temporary activity label based on the Doppler spectrogram; assigning an uncertainty value to the temporary activity label, where the uncertainty value is indicative of a confidence level that the temporary activity label is an actual activity of the target; and generating a final activity label based on the uncertainty value.

Abstract: An image display apparatus of the present invention includes: a beam emitting section (10) that radially emits a plurality of beams (Ls1 to Ls5) in a horizontal direction; a mirror rotary member (20) having a rotation axis (Pc) and an inner surface, the inner surface having a plurality of mirror surfaces (21) that reflects each of the plurality of beams (Ls1 to Ls5), the mirror rotary member as a whole rotating about the rotation axis (Pc) as a center to thereby perform, by the plurality of mirror surfaces (21), scanning with each of the plurality of beams (Ls1 to Ls5) emitted from the beam emitting section (10) in the horizontal direction; and a screen (2) to be irradiated with the plurality of beams (Ls1 to Ls5) with which the scanning is performed by the plurality of mirror surfaces (21).

Abstract: A method and system for increasing data quality of a dataset for semi-supervised machine learning analysis. The method includes: receiving known class label information for a portion of the data in the dataset; receiving clustering parameters from a user; determining a data cleanliness factor, and where the data cleanliness factor is below a predetermined cleanliness threshold: assigning data without class label information as a data point to a cluster using the clustering parameters, each cluster having a cluster class label associated with such cluster; and determining a measure of assignment, and where the measure of assignment for each data point is below a predetermined assignment threshold, receiving a class label for such data points, otherwise, assigning the respective cluster class label to each data point with the respective measure of assignment below the predetermined assignment threshold; and otherwise, outputting the dataset with associated class labels for machine learning analysis.

Abstract: A processor obtains an input image containing both bright and dark regions. The processor obtains a threshold between a first pixel value and a second pixel value of the display. Upon detecting a region of the input image having an original pixel value above the threshold, the processor can create a data structure including a location of the region in the input image and an original pixel value of the region. The data structure occupies less memory than the input image. The display presents the input image including the region of the image having the original pixel value above the threshold. The processor sends the data structure to a camera, which records the presented image. The processor performing postprocessing obtains the data structure and the recorded image and increases dynamic range of the recorded image by modifying the recorded image based on the data structure.

Abstract: A method of encoding video including: writing a plurality of predetermined buffer descriptions into a sequence parameter set of a coded video bitstream; writing a plurality of updating parameters into a slice header of the coded video bitstream for selecting and modifying one buffer description out of the plurality of buffer descriptions; and encoding a slice into the coded video bitstream using the slice header and the modified buffer description.

Abstract: A method and system for determining if an individual is impaired. In one embodiment, physical and cognitive testing of the individual are conducted in the field or at the scene of an event. The test results are compared to previously stored baseline test results taken for the specific individual while the individual is known to be in an unimpaired state or condition. The current test results are electronically compared to the baseline test results and if the results differ or deviate beyond a predetermined level or amount the individual is considered to be impaired. If no baseline test results exist for the specific individual, the current test results can alternatively be compared to previously determined or known scientifically accepted or minimums for the specific tests given to the individual.

Abstract: Techniques are described for an autonomous asset management system that integrates autonomous devices, such as drone devices and other robotic devices, with a home security system of a property to enable management, monitoring, and/or tracking of various assets located within the property. In some implementations, an indication of an asset associated with a property is obtained by an autonomous device. Sensor data collected by one or more sensors of the property is obtained by the autonomous device based on the indication of the asset. A present status of the asset is determined by the autonomous device based on the sensor data. A determination that the present status of the asset does not correspond to an expected status of the asset is made by the autonomous device. In response, the autonomous device navigates to the particular location of the property.

Abstract: Disclosed is an image data encoding/decoding method and apparatus. A method for decoding a 360-degree image comprises the steps of: receiving a bitstream obtained by encoding a 360-degree image; generating a prediction image by making reference to syntax information obtained from the received bitstream; combining the generated prediction image with a residual image obtained by dequantizing and inverse-transforming the bitstream, so as to obtain a decoded image; and reconstructing the decoded image into a 360-degree image according to a projection format.

Abstract: The disclosed computer-implemented method may include (i) identifying, by a server computer system, a provider computing device for use in capturing street-level image data, where the provider computing device controls a camera positioned to capture street-level imagery outside the vehicle, (ii) determining, by the server computer system, a configuration that controls use of the provider computing device to provide street-level image data captured by the camera to the server computer system, (iii) sending, by the server computer system, the configuration to the computing device, and (iv) receiving, from the computing device, street-level image data captured by the computing device using the camera responsive to the configuration. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Systems, methods, and devices for super resolution and color motion artifact correction in a pulsed fluorescence imaging system are disclosed. A method includes actuating an emitter to emit a plurality of pulses of electromagnetic radiation and sensing reflected electromagnetic radiation resulting from the plurality of pulses of electromagnetic radiation with a pixel array of an image sensor to generate a plurality of exposure frames. The method includes detecting motion across two or more sequential exposure frames of the plurality of exposure frames, compensating for the detected motion, and combining the two or more sequential exposure frames to generate an image frame. The method is such that at least a portion of the plurality of pulses of electromagnetic radiation emitted by the emitter comprises a laser mapping pattern.

Abstract: Provided are various devices, systems and methods for observing pumps and the like. Provided is an industrial endoscope including an imaging device, a flexible holding member configured to hold the imaging device, and one or a plurality of nozzles fixed to the holding member and which injects a fluid.

Abstract: A method of detecting degradation of a real tire of a wheel includes the steps of: acquiring at least one first three-dimensional object representative of the shape of the real tire by using an electronic appliance including at least one three-dimensional sensor, the first three-dimensional object being made up of a set of capture points; determining the position of the center point of the real tire from the set of capture points; registering the first three-dimensional object to obtain a second three-dimensional object; transforming the second three-dimensional object in order to obtain one or more two-dimensional objects; and analyzing the two-dimensional object(s) in order to detect degradation of the real tire.

Abstract: In some embodiments, a first output is received from a first prediction network at a second prediction network. The first prediction network generates the first output from a first input. Also, a second input is received at the second prediction network that describes the first input. The second prediction network analyzes the first output and the second input and generates a second output that classifies the first output in one of a set of classifications. The first output is output with the one of the set of classifications for the second output where the second output indicates whether the first output should be reviewed when the second output is classified in a first classification in the set of classifications or not reviewed when the second output is classified in a second classification in the set of classifications.

Abstract: Methods and systems for monitoring blockages of emergency escape routes and emergency exits of a building include capturing a plurality of images which may correspond to an emergency escape route and/or an emergency exit of a building. The plurality of images may be analyzed to determine when a stationary object is present and at least partially blocking the emergency escape route and/or the emergency exit. If a blockage is detected, a user may be notified of the blockage.

Abstract: An image pickup apparatus, image processing apparatus and corresponding program and method are disclosed. In one example, a second captured image acquired from another apparatus is aligned with a first captured image. Image stabilization is carried out in response to a positional relation between the captured images. For example, when overlapping between the captured images is equal to or smaller than an image stabilization limitation threshold value, the image stabilization is stopped or a correction range is limited for at least one of the captured images. When the amount of overlapping is larger than the image stabilization limitation threshold value, the image stabilization for both of the captured images is carried out without limitation. The captured images are aligned with each other by using the captured image with limited image stabilization, or both captured images where stabilization is carried out without limitation, thereby producing a panoramic image.

Abstract: Methods and systems for operating a moving platform to determine data associated with a target person or object are disclosed. In an example method to determine at least one of an object or an activity associated with the target, a first moving platform, configured with a first type of sensor, is caused to move to an area associated with the target. The target is located at the area. An attempt is made to determine, via the first moving platform and the first type of sensor, the at least one of the object or activity. Based on the attempt, a second moving platform, configured with a second type of sensor, is caused to move to the area. The at least one of the object or activity associated with the target is determined via the second moving platform and the second type of sensor.