Abstract: Disclosed are an image tuning device and an image tuning method. The image tuning method includes the following steps: dividing an image area into a plurality of blocks for executing brightness adjustment individually, in which the blocks include a target block and at least one neighboring block; receiving pixel data of the target block to calculate a target block brightness value; receiving pixel data of the at least one neighboring block to calculate at least one neighboring block brightness value; calculating a calculated brightness value of a target pixel within the target block according to the target block brightness value and the at least one neighboring block brightness value; and generating an adjusted brightness value of the target pixel by adjusting an original brightness value of the target pixel according to the calculated brightness value.

Abstract: A method for determining or updating a registration between a 3D image of a region of interest and a set of at least two 2D images of the same region of interest includes selecting at least one respective contour point in the 3D image for each 2D image. A 2D position of a respective depiction of each contour point is determined in the respective 2D image. At least one condition for the registration parameters that needs to be fulfilled is determined, for each contour point, to map the respective contour point to the respective 2D position in the respective 2D image. An updated set of registration parameters is determined by solving a set of equations or an optimization problem that depends on the conditions.

Abstract: An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains a first Magnetic Resonance (MR) image corresponding to a first b-factor and corresponding to each of a plurality of axial directions and to obtain a second MR image corresponding to a second b-factor different from the first b-factor and corresponding to each of the plurality of axial directions. The processing circuitry obtains through a calculation, with respect to each of the axial directions, an MR image as a computed image corresponding to a third b-factor different from the first b-factor and the second b-factor by using the first MR image and the second MR image. The processing circuitry generates a combined image by combining together the plurality of computed images each of which was obtained with respect to a different one of the axial directions.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for detecting a braking behavior of a front vehicle of an autonomous vehicle. A specific implementation of the method comprises: extracting a vehicle image from a vehicle area in an image acquired by the image acquisition device; converting a color space of the vehicle image to generate a first vehicle image; setting a pixel value of a pixel point in the first vehicle image meeting any condition in a preset condition group to a first preset value to generate a second vehicle image; analyzing the second vehicle image to determine a candidate vehicle light area group; and detecting, based on the candidate vehicle light area group, whether a vehicle indicated by the vehicle image is braking, and generating a detection result. The implementation improves the detection efficiency for the braking behavior of the front vehicle.

Abstract: A first network enabled device is in a wireless local area network (WLAN). The first network enabled device determines whether a second network enabled device is present in the WLAN. The first network enabled device executes a rule having a condition based on whether the second network enabled device is present in the WLAN and a resulting action to be performed by the first network enabled device. If the condition is met, the first network enabled device performs the resulting action.

Abstract: Systems, methods, and software described herein provide enhancements for deploying applications in spaceborne and airborne devices. In one example, a satellite device includes one or more sensor systems, a communication interface, and a virtualized execution system. The virtualized execution system is configured to receive state information via the communication interface from at least a peer device related to execution of one or more software payloads by the peer device, and execute one or more virtual nodes based at least on the state information to employ the one or more sensor systems and establish imaging data.

Abstract: A mobile electronic device having a flexible display device is disclosed. A request to retrieve information from a server over a wireless network is triggered based on flexing the flexible display device and other gestures.

Abstract: An encoder artificial neural network (ANN) may be configured to receive an input image patch and produce a feature vector therefrom. The encoder ANN may have been trained with a first plurality of domain training images such that an output image patch visually resembling the input image patch can be generated from the feature vector. A generator ANN may be configured to receive the feature vector and produce a generated image patch from the first feature vector. The generator ANN may have been trained with feature vectors derived from a first plurality of domain training images and a second plurality of generative training images such that the generated image patch visually resembles the input image patch but is constructed of a newly-generated image elements visually resembling one or more image patches from the second plurality of generative training images.

Abstract: A method of image-distance transformation using bi-directional scans is provided. The method includes the steps of: performing a first scan on each pixel of an input image using a first mask in a first order to generate an intermediate image; and performing a second scan on each pixel of the intermediate image using a second mask in a second order to obtain distance information of each pixel in the input image. A first current pixel in the input image that is not compared with prior pixels in the first order and in a first current segment is used in the first comparison process in the first scan, and a second current pixel that is compared with prior pixels in the second order and in a second segment is used in the second comparison process in the second scan.

Abstract: Certain aspects of the present disclosure generally relate to wireless communication. In some aspects, a control node may determine a power setting for at least one of a first signal or a second signal to be simultaneously communicated between a target wireless node and at least one other wireless node, wherein the power setting is determined based at least in part on whether a first set of resources or a second set of resources are allocated for the first signal or the second signal; and configure the power setting to be used for the first signal or the second signal. Numerous other aspects are provided.

Abstract: The invention provides the supporting system for neurological state assessment and neurological rehabilitation, especially within cognitive and/or speech dysfunction, characterized in that, the processing unit (PU) is integrated with the screen (S), which is equipped with the touch input sensors (TIS), said camera and light sources work within infrared radiation, wherein the infrared camera (IFC) is integrated with at least two infrared light sources (ILS). The infrared light sources (ILS) and the infrared camera (IFC) are formed into a movable component (MC) in the way that the infrared light sources (ILS) are located symmetrically and uniaxially on both sides of the infrared camera (IFC) in the movable component (MC). The movable component (MC) is connected with the processing unit (PU) through the screen (S). In another aspect the invention provides the method for supporting of neurological state assessment and neurological rehabilitation, especially within cognitive and/or speech dysfunctions.

Abstract: A portable countermeasure device is provided comprising one or more directional antennae, one or more disruption components and at least one activator. The portable countermeasure device further comprises a body having a dual-grip configuration, with the directional antennae are affixed to a front portion of the body. The one or more disruption components may be internally mounted within the device body. The dual-grip configuration allows an operator to use his body to steady and support the device while maintaining the antenna on target. The second grip is positioned adjacent the first grip, with the first grip angled toward the rear of the device and the second grip angled toward the front of the device. The portable countermeasure device is aimed at a specific drone, the activator is engaged, and disruptive signals are directed toward the drone, disrupting the control, navigation, and other signals to and from the drone.

Abstract: Some objects in an external environment of a vehicle may be difficult to detect by a human driver or by vehicle sensors. Such object may be indirectly detected using information in the external environment of the vehicle. Sensor data of the external environment of the vehicle can be acquired using one or more sensors, which can be located onboard the vehicle. An external transmitter or transmission can be detected based on the acquired sensor data. The acquired sensor data can also be used to identify the external transmitter or transmission. A shadow can be detected in the acquired sensor data. An object in the external environment can be detected using at least in part the detected shadow. In some instances, a characteristic associated with the identified external transmitter or transmission can also be used to detect the object and/or one or more characteristics of the object.

Abstract: Extraction means analyzes a character string of an interpretation report to extract lesion portion information recorded in the interpretation report and a first lesion feature recorded in the interpretation report, and analysis means performs an image analysis process corresponding to the lesion portion information with respect to the image data corresponding to the interpretation report to acquire a second lesion feature based on a result of the image analysis process. Determination means determines whether the first lesion feature matches the second lesion feature, and registration means registers the image data corresponding to the interpretation report as learning correct answer data in a case where it is determined that the first lesion feature matches the second lesion feature.

Abstract: A system and method for grouping independent machine learnt artificial intelligence to generate collective “machine wisdom” to obtain higher accuracy in identification of tags, objects and actions in a video includes an input module, Media Asset Management (MAM) module, catalogue module and a machine learning module. The input module allows the user to upload one or more videos into a media Enterprise Resource Planning (ERP) solution, a media asset management solution, or an Over-the-Top (OTT) Video Content Management System (CMS). The system further predicts and improves the vision parameters by using collective artificial intelligence machines through mutual learnt models and thereby enables higher accurate video identification resolution and cataloguing of a problem or its prediction in lesser period of time.

Abstract: A method of visualizing an image, a device and a system using the same. The method of visualizing, by a device operatively connected with an image provision server, an image configured in a hierarchical structure including a plurality of levels includes receiving tile visualization information in an encoded form from the image provision server, the tile visualization information including a tile visualization type determined according to whether at least one tile belonging to each of the levels of the image includes data; decoding the encoded tile visualization information and obtaining the tile visualization information; making a request to the image providing server for data for a target level and tile, which are to be visualized according to the tile visualization information; and displaying an image, which is to be visualized, received from the image provision server.

Abstract: A method for waking up a voice interaction function based on a gesture includes: acquiring an image of a user's gesture; determining whether the acquired image matches a preset image; and waking up a voice interaction function in response to the acquired image matching the preset image.

Abstract: Techniques for implementing an audio distribution system using only standard network cabling for both power transmission and audio signal transmission. The system comprising of one or more Audio-streaming Source Units and one or more self-contained Network-powered Speaker Units where a plurality of audio streams can exist simultaneously and any audio stream can be directed between any Audio-streaming Source Unit and any Network-powered Speaker Unit.

Abstract: A decoding apparatus is used for decoding region of interest (ROI) regions in an image, and includes a storage device, a pre-processing circuit, a decoding circuit, and an information fetching circuit. The pre-processing circuit performs a syntax pre-parsing operation upon a bitstream to obtain necessary information of the ROI regions, and stores the necessary information into the storage device. The decoding circuit performs a decoding operation upon the bitstream to decode the ROI regions, wherein the decoding operation includes syntax parsing of the bitstream. The information fetching circuit reads and analyzes the necessary information, and delivers at least a portion of the necessary information to the decoding circuit. A processing time of obtaining necessary information of one ROI region at the pre-processing circuit overlaps a processing time of decoding another ROI region at the decoding circuit.

Abstract: Provided is an image encoding method including generating a first picture reconstructed by using a residual picture and a predicted picture; generating a second picture by applying a first artifact reduction filter to the first picture; determining a picture having a smaller bit-rate distortion cost from among the first and second pictures by comparing a first bit-rate distortion cost of the first picture with a second bit-rate distortion cost of the second picture; generating a third picture by applying an in-loop filter to the determined picture; generating a fourth picture by applying a second artifact reduction filter to the third picture; determining a picture having smaller distortion from among the third and fourth pictures by comparing first distortion of the third picture with second distortion of the fourth picture; and generating, via a processor, a bitstream including information about whether the second artifact reduction filter is applied.