Abstract: This disclosure relates to systems and methods for vehicle guidance. Stereo images may be obtained at different times using a stereo image sensor. A depth image may be determined based on an earlier obtained pair of stereo images. The depth image may be refined based on predictions of an earlier stereo image and a later obtained stereo image. Depth information for an environment around a vehicle may be obtained. The depth information may characterize distances between the vehicle and the environment around the vehicle. A spherical depth map may be generated from the depth information. Maneuver controls for the vehicle may be provided based on the spherical depth map.

Abstract: Disclosed is a prediction method adopting in-loop filtering. According to the present invention, a prediction method for encoding and decoding video comprises the following steps: generating a residual block of the current block through an inverse quantization and inverse transform; generating a prediction block of the current block through an intra-prediction; performing in-loop filtering on the current block in which the residual block and the prediction block are combined; and storing the current block, on which the in-loop filtering is performed, in a frame buffer for an intra-prediction of the next block to be encoded. As described above, prediction is performed using an in-loop filter during processes for encoding and decoding video, thereby improving the accuracy of prediction and reducing errors in prediction, thus improving the efficiency of video compression and reducing the amount of data to be transmitted.

Abstract: An image processing apparatus including a processor is provided. The processor inputs, from an imaging element in which first imaging pixels having a lower SNR and second imaging pixels having a higher SNR are arranged on a same layer, a first captured image by the first imaging pixels and a second captured image by the second imaging pixels when the first imaging pixels and the second imaging pixels perform imaging simultaneously, selects a target pixel from the first captured image, extracts, from the second captured image or an interpolated image of the second captured image, pixels having luminance values close to a luminance value of a pixel corresponding to the target pixel in the second captured image or interpolated image, selects pixels corresponding to the extracted pixels from the first captured image, and corrects a luminance value of the target pixel based on luminance values of the selected pixels.

Abstract: The disclosure relates to an apparatus and method for inter prediction of a sample value of a current full-integer pixel of a plurality of pixels of a current block of a current frame of a video signal.

Abstract: A method of visual media processing includes determining a size of a buffer to store reference samples for prediction in an intra block copy mode; and performing a conversion between a current video block of visual media data and a bitstream representation of the current video block, using the reference samples stored in the buffer, wherein the conversion is performed in the intra block copy mode which is based on motion information related to a reconstructed block located in same video region with the current video block without referring to a reference picture.

Abstract: A wearable camera includes a video recording device that records a captured video of a subject on the front side of a user on a recorder, a sensor that acquires information regarding motion of the user, a determiner that determines whether or not at least one default event has occurred on the basis of information regarding motion of the user acquired by the sensor during recording of the captured video of the subject, and a controller that generates event list information in which a detection time point of the default event is correlated with information regarding the default event according to determination that the at least one default event has occurred during recording of the captured video of the subject, and records the event list information on the recorder in correlation with the captured video of the subject.

Abstract: According to an embodiment of the disclosure, an electronic device includes a light source unit to emit infrared light having a specified wavelength band, a camera module, a memory, and a processor, the camera module includes a lens assembly including a first lens having a property to at least partially absorb visible light and one or more second lenses to refract light, which is output through the first lens, at a specified angle, a filter to pass through light, which has the specified wavelength band, of the light output through the lens assembly, and an image sensor to sense light, which is output through the lens assembly and the filter, to obtain an image, and the processor is configured to receive an input of a user to photograph an external object, emit the infrared light using the light source unit based on the input of the user, and obtain, using the camera module, an image corresponding to light, which is reflected from the external object, of the emitted infrared light.

Abstract: Video data is obtained or received. At least a current frame or previous frame(s) of the obtained or received video data are provided to an input of a neural network. A predicted output is generated at an output of the neural network. The predicted output includes at least one of predicted future frame(s) of the video data and predicted properties of future frame(s) of the video data. Processing decision(s) are determined based, at least in part, on the predicted output. The current frame of the video data is processed at least partially according to the processing decision(s).

Abstract: A method and apparatus for sharpening gastrointestinal (GI) images are disclosed. A target distance between the target region and the imaging apparatus is determined for a target region in the regular image. One or more filter parameters of a de-blurring filter are selected from stored filter parameters according to the target distance. A processed target region is generated by applying the de-blurring filter to the target region to improve sharpness of the target region. A method for characterizing an imaging apparatus is also disclosed. The imaging apparatus is placed under a controlled environment. Test pictures for one or more test patterns are captured at multiple test distances in a range including a focus distance using the imaging apparatus. One or more parameters associated a target point spread function are determined from each test picture for characterizing image formation of the imaging apparatus at the selected distance.

Abstract: A method for detecting a displacement of a mobile platform includes acquiring a first frame and a second frame using an imaging device coupled to the mobile platform, obtaining an angle of the imaging device relative to a reference level while acquiring the first frame, and determining the displacement of the mobile platform based at least on the first frame, the second frame, and the angle of the imaging device relative to the reference level.

Abstract: Described herein are systems and methods for assessing a biological sample. The methods include: characterizing a speckled pattern to be applied by a diffuser; positioning a biological sample relative to at least one coherent light source such that at least one coherent light source illuminates the biological sample; diffusing light produced by the at least one coherent light source; capturing a plurality of illuminated images with the embedded speckle pattern of the biological sample based on the diffused light; iteratively reconstructing the plurality of speckled illuminated images of the biological sample to recover an image stack of reconstructed images; stitching together each image in the image stack to create a whole slide image, wherein each image of the image stack at least partially overlaps with a neighboring image; and identifying one or more features of the biological sample. The methods may be performed by a near-field Fourier Ptychographic system.

Abstract: Methods and systems are described for new paradigms for user interaction with an unmanned aerial vehicle (referred to as a flying digital assistant or FDA) using a portable multifunction device (PMD) such as smart phone. In some embodiments, a user may control image capture from an FDA by adjusting the position and orientation of a PMD. In other embodiments, a user may input a touch gesture via a touch display of a PMD that corresponds with a flight path to be autonomously flown by the FDA.

Abstract: A portable eye tracker device is disclosed which includes a frame, at least one optics holding member, and a control unit. The frame may be adapted for wearing by a user. The at least one optics holding member may include at least one illuminator configured to selectively illuminate at least a portion of at least one eye of the user, and at least one image sensor configured to capture image data representing images of at least a portion of at least one eye of the user. The control unit may be configured to control the at least one illuminator for the selective illumination of at least a portion of at least one eye of the user, receive the image data from the at least one image sensor, and calibrate at least one illuminator, at least one image sensor, or an algorithm of the control unit.

Abstract: A method and system for mapping fluid objects on a substrate using a microscope inspection system that includes a light source, imaging device, stage for moving a substrate disposed on the stage, and a control module. A computer analysis system includes an object identification module that identifies for each of the objects on the substrate, an object position on the substrate including a set of X, Y, and ? coordinates using algorithms, networks, machines and systems including artificial intelligence and image processing algorithms. At least one of the objects is fluid and has shifted from a prior position or deformed from a prior size.

Abstract: Provided are a device configuration, method, etc. for performing imaging investigation in an investigation space using an unmanned aerial vehicle. A system includes: a flight start platform; the vehicle which is connected to a line-type member and equipped with an investigation camera, a travel-direction imaging camera, and a vehicle-side communication unit; an external control device which is equipped with a display unit and an external control device-side communication unit, and which receives the travel-direction image data through the external control device-side communication unit, receives an input of control commands for the vehicle while having a video or still image obtained from the travel-direction image data displayed on the display unit, and transmits a signal indicating the control commands from the external control device-side communication unit; and an attraction device which is connected to the line-type member and attracts the vehicle.

Abstract: A method comprises obtaining a first weight for a first probability associated with a first probability update window; obtaining a second weight for a second probability associated with a second probability update window, wherein the first weight and the second weight are unequal; and coding, using the first weight and the second weight, a portion of a video.

Abstract: Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. In some examples, an apparatus for video decoding includes receiving circuitry and processing circuitry. The processing circuitry receives coded information of a block that is encoded in a palette based coding mode. The block is a beginning of a predefined coding region that includes one or more coding tree units (CTUs). The processing circuitry further determines a palette for the block independently of palette information of one or more previously decoded blocks of the palette based coding mode, and decodes pixels of the block based on the coded information of the block and the determined palette for the block.

Abstract: An autonomous and non-autonomous vehicle tire imaging and inspection system and methods thereof installed onboard a vehicle providing frequent status for inner and outer tire sidewalls, tire tread wear and tread depth, recorded in memory, transmitted to an onboard diagnostics unit, displayed on a dashboard and optionally transmitted to a network. Autonomous and non-autonomous vehicle vehicles may require passing a safety compliance inspection before driving and receive an insurance compliance approval to operate said vehicles.

Abstract: This disclosure describes video encoding and video decoding techniques for encoding and decoding video data in a chroma intra prediction mode. The techniques may improve the encoding and decoding process by simplifying aspects of the encoding and decoding process and by reducing a number of binarization tables used for the encoding and decoding. Moreover, reducing the number binarization tables may, in turn, reduce the amount of memory needed in an encoder device or decoder device to perform the video encoding or decoding process.

Abstract: A video coding method includes obtaining a current frame from a plurality of video frames, from which at least two or more video frames from have different resolutions; determining an initial motion vector (MV) corresponding to each block to be encoded in the current frame at a corresponding resolution; and determining a target MV resolution according to a resolution configuration of the current frame to represent a target resolution. The method also includes determining a target MV corresponding to each block in the current frame at the target resolution represented by the target MV resolution; obtaining a motion vector prediction (MVP) corresponding to each block in the current frame at the target resolution; and encoding the current frame according to a motion vector difference (MVD) between each target MV and the corresponding MVP such that the MV and the corresponding MVP are at a same resolution.