Abstract: A method for changing an image file based on a toning coefficient includes receiving an image file including an image having a plurality of pixels. Toning characteristic function is determined for each pixel of the received image. Distribution of the plurality of pixels of the received image is analyzed using the toning characteristic function. The toning coefficient of the received image is determined based on the analyzed distribution of the plurality of pixels. A degree of toning of the received image file is changed using a user specified criteria based on the determined toning coefficient.

Abstract: A quantum information processing system comprises a light source, a detector, at least one spatial light modulator and at least one optical lens. The light source is configured to provide a beam of entangled photons. The at least one optical lens is configured to project the resultant beam onto the spatial light modulator, either by direct imaging or by performing a full or partial optical Fourier transform. Said spatial light modulator includes a plurality of discrete pixels and is configured to select one or more of the plurality of discrete pixels to generate a resultant beam from said beam of entangled photons. The resultant beam from said spatial light modulator is projected onto the detector. For optical computation, such as search algorithms, the configuration and projections are repeated to find the optimal solution.

Abstract: The present invention provides a knowledge graph construction method and device. The method includes: obtaining structured data, where the structured data includes a first entity name of a first entity and attribute information corresponding to the first entity name, and the attribute information includes a first attribute and a first attribute value; performing, based on measurement of a similarity between the first entity and a second entity in a knowledge graph, entity alignment processing on the first entity, where the measurement of the similarity includes at least one of the following types: measurement of a character similarity, measurement of a structure similarity of a classification tree on which an entity is located, and measurement of an attribute similarity; and importing the structured data into the knowledge graph according to an entity alignment processing result. Embodiments may ensure correctness of data in the knowledge graph.

Abstract: Methods, systems, and devices for automated feature selection and model generation are described. A device (e.g., a server, user device, database, etc.) may perform model generation for an underlying dataset and a specified outcome variable. The device may determine relevance measurements (e.g., stump R-squared values) for a set of identified features of the dataset and can reduce the set of features based on these relevance measurements (e.g., according to a double-box procedure). Using this reduced set of features, the device may perform a least absolute shrinkage and selection operator (LASSO) regression procedure to sort the features. The device may then determine a set of nested linear models—where each successive model of the set includes an additional feature of the sorted features—and may select a “best” linear model for model generation based on this set of models and a model quality criterion (e.g., an Akaike information criterion (AIC)).

Abstract: An apparatus includes a camera and a processor circuit. The camera may be configured to capture color images in response to visible light and monochrome infrared images in response to infrared light. The processor circuit may be configured to extract color features from the color images and add color to corresponding monochrome features detected in the monochrome infrared images.

Abstract: A method for calculating the autonomy of a gas distribution system assembly including a container containing gas and equipped with at least one gas filling indicator device and a gas flow rate indicator device at the output of the container. The method includes recovering at least one item of identification information on the container and/or the gas used. The method also includes acquiring at least one image to recover a first datum on a value indicated by the gas filling indicator device and a second datum on a value indicated by the flow rate indicator device. The method also includes communicating the at least one acquired image and the at least one recovered item of identification to a computation module configured to deduce therefrom a corresponding value of autonomy of the gas distribution assembly, the computation module including at least the ability to process images.

Abstract: Techniques for calibrating a device having a stereoscopic camera are disclosed. According to an embodiment, the device calibrates the stereoscopic camera using a target provided by a mobile device. One or more zones each defining an area in a field of view of the calibrated stereoscopic camera are generated. The one or more zones are refined based on input provided by the mobile device.

Abstract: An image sensor may include a photoelectric device configured to selectively absorb light associated with a first color of three primary colors, a semiconductor substrate stacked with the photoelectric device and including first and second photo-sensing devices configured to sense light associated with second and third colors of the three primary colors, respectively, a first color filter corresponding to the first photo-sensing device and configured to selectively transmit light of the first wavelength spectrum, a second color filter corresponding to the second photo-sensing device and configured to selectively transmit light associated with a mixed color of the first color and the third color, and a first insulating layer between the photoelectric device and the semiconductor substrate and corresponding to the second photo-sensing device, and configured to selectively reflect light of a part of visible light.

Abstract: Methods of determining the depth of a scene and associated systems are disclosed herein. In some embodiments, a method can include augmenting depth data of a scene captured with a depth sensor with depth data from one or more images of the scene. For example, the method can include capturing image data of the scene with a plurality of cameras. The method can further include generating a point cloud representative of the scene based on the depth data from the depth sensor and identifying a missing region of the point cloud, such as a region occluded from the view of the depth sensor. The method can then include generating depth data for the missing region based on the image data. Finally, the depth data for the missing region can be merged with the depth data from the depth sensor to generate a merged point cloud representative of the scene.

Abstract: An infrared toaster and a method of toasting use a support configured to hold a food product relative to an infrared source. A light source and a camera are arranged relative to the support to illuminate the food product and capture digital images of the food product. A processor receives and analyzes successive images from the camera. The processor operates the IR source to achieve a predetermined toasting level of the food product. The processor operates the IR source to terminate operation directing IR energy when the predetermined toasting level is reached.

Abstract: A method and a system of detecting at least one sample in a sample container, comprising a sample container, further comprising a cavity, the volume of said cavity partially or fully occupied with at least one solid sample and at least one fluid; and at least one camera capturing at least one image of the sample container; and a data processing device detecting at least one sample in the sample container by processing the at least one image captured by the at least one camera. The method and system further comprise putting the sample container in sudden motion prior to the at least one camera capturing at least one image of the sample container.

Abstract: An encoder is an encoder that encodes a block in a picture using a prediction image of the block, and includes circuitry and memory. Using the memory, the circuitry: calculates a first average pixel value which is an average pixel value of first reference samples out of the first reference samples and second reference samples, The first reference samples are referable and located outside the block and adjacent to a first side of the block. The second reference samples are referable and located outside the block and adjacent to a second side of the block. When generating the prediction image, the circuitry applies the same prediction pixel value to inner samples among current samples to be processed that are included in the block. The inner samples constitute a quadrilateral region including at least two current samples in each of a horizontal direction and a vertical direction.

Abstract: An encoding device and a method for point cloud encoding are disclosed. The method for encoding includes segmenting an area including points representing a three-dimensional (3D) point cloud into multiple voxels. The method also includes identifying a normal score for each of the points of the 3D point cloud and a smoothing score for each of the multiple voxels that include at least one of the points of the 3D point cloud. The method further includes grouping each point of the 3D point cloud to one of multiple projection planes based on the normal score and the smoothing score to generate refined patches that represent the 3D point cloud. Additionally, the method includes generating frames that include pixels that represent the refined patches. The method also includes encoding the frames to generate a bitstream and transmitting the bitstream.

Abstract: A system that includes a first edge node and a second edge node in signal communication with one or more interior nodes. The first edge node is configured to receive a correlithm object from a first device outside of the network, to identify an input correlithm object from the first node table with the shortest distance, to fetch a corresponding correlithm object from the first node table, and to send the correlithm object to the one or more interior nodes. The second edge node is configured to receive a correlithm object from the one or more interior nodes, to identify an input correlithm object from a second node table with the shortest distance, to fetch a corresponding correlithm object from the second node table, and to send the correlithm object to a second device outside of the network.

Abstract: A method of improving quality of crowdsourced affective data based on agreement relationship between a plurality of annotators include receiving, by a processor, a collection of stimuli previously given affective labels by the plurality of annotators, executing, by a processor, an algorithm operative to perform the steps including constructing an agreement multigraph as a probabilistic model including a pair-wise status of agreement between the affective labels given by different ones of the plurality of annotators, learning the probabilistic model computationally using the crowdsourced affective data, identifying a reliability of each of the plurality of annotators based on the learned model, and adjusting the crowdsourced affective data by calculating the affective labels of each stimuli based on the identified reliability of each of the plurality of annotators, thereby improving the quality of the crowdsourced affective data.

Abstract: An apparatus for contextual execution comprises a processor, and a memory containing instructions, which when executed by the processor, cause the apparatus to receive, from a user terminal, a control input associated with an intent, obtain location data associated with a location of the user terminal, and determine a scored set of execution options associated with the control input. Further, the instructions, when executed by the processor cause the apparatus to obtain a contextual label associated with the location data, the label determined based on the application of one or more adapted pretrained deep learning models to the location data.

Abstract: Described are systems and techniques configured to authenticate a user upon entry to a facility. Prior to entry, the user may log in to a secure website with valid credentials, whereupon a login image of the user at the time of login is acquired. In one implementation, optically encoded data is generated which includes data representative of the login image, an acquisition timestamp, and an identifier value. At entry of the user to the facility, an entry image of the user's face, an image of the optically encoded data as presented on a display of a computing device in possession of the user, and an entry timestamp are acquired. By determining the timestamp is within a valid range of time and the data representative of the login image corresponds to the entry image, the user is authenticated to the identifier value.

Abstract: Disclosed embodiments are directed at devices, methods, and systems for fixing distortions of content displayed on in-flight entertainment (IFE) monitors in a commercial passenger vehicle. An IFE monitor can receive angular measurement data from one or more gyroscope sensors to determine a differential angle of tilt of the IFE monitor. In response to determining that the differential angle of tilt is non-zero, the IFE monitor can detect that content displayed on the IFE monitor is subject to distortion. The IFE monitor can automatically apply a perspective correction to the content displayed on the IFE monitor for fixing the perceived distortion.

Abstract: Disclosed herein are methods, devices, modules, and systems which may be employed for automated weed identification, control, and eradication. These methods, devices, modules, and systems provide an alternative to hand cultivation or chemical herbicides. Devices disclosed herein may be configured to locate, identify, and autonomously target a weed with a beam, such as a laser beam, which may burn or irradiate the weed. The methods, devices, modules, and systems may be used for agricultural crop management or for at-home weed control.

Abstract: A subblock-based coding of transform coefficient blocks of the enhancement layer is rendered more efficient. To this end, the subblock subdivision of the respective transform coefficient block is controlled on the basis of the base layer residual signal or the base layer signal. In particular, by exploiting the respective base layer hint, the subblocks may be made longer along a spatial frequency axis transverse to edge extensions observable from the base layer residual signal or the base layer signal.