Abstract: Provided is a mobile terminal including a front case, a display disposed at a front surface of the front case, a rear case disposed to oppose a rear surface of the front case, and a finger scan sensor part coupled to the rear surface of the front case. The finger scan sensor part may be configured to sense at least a portion of light incident after passing through the display and the front case among light reflected by an external object. Other embodiments are implementable.

Abstract: A moving image analysis apparatus includes at least one of a processor and a circuitry configured to perform operations including acquiring first data and second data used in processing, in which a moving image is compressed and encoded, for a first frame and a second frame, respectively, included in the moving image, detecting first feature data indicating a first feature of the moving image on the basis of the first frame and the first data and detecting second feature data indicating a second feature of the moving image on the basis of the second frame and the second data, and detecting an object included in the first frame on the basis of the first feature data and the second feature data.

Abstract: A weight estimation unit estimates, from a person's image in which a person is included, a weight of a human body part of the person in accordance with an existence probability of the human body part of the person. A feature creation unit creates a feature for verification based on a weight of the person's image and a weight estimated by the weight estimation unit. A verification feature storage unit stores a feature of the person who is the object of verification as a verification feature. A person verification unit compares the feature for verification created by the feature creation unit and the verification feature stored in the verification feature storage unit.

Abstract: An image processing apparatus and method are provided which quantifies sharpness of one or more areas in an image. The sharpness processing includes acquiring an image from an image capturing apparatus, obtaining an object information characterizing a position of an object within the captured image, and controlling, based on a sharpness of each of a plurality of regions identified within the captured image according to the object information, an unit such that a sharpness information representing a numeric value regarding a sharpness of the captured image is displayed with the captured image.

Abstract: Systems, methods, and apparatus for identifying, tracking, and disrupting UAVs are described herein. Sensor data can be received from one or more portable countermeasure devices or sensors. The sensor data can relate to an object detected proximate to a particular airspace. The system can analyze the sensor data relating to the object to determine a location of the object and determine that the object is flying within the particular airspace based at least in part on location data. A portable countermeasure device can be identified that corresponds to the location of the object. The system can transmit information about the object to the identified portable countermeasure device. The portable countermeasure device can transmit additional data relating to the object to the system.

Abstract: The method of the present invention classifies the nuclei in prostate tissue images with a trained deep learning network and uses said nuclear classification to classify regions, such as glandular regions, according to their malignancy grade. The method according to the present disclosure also trains a deep learning network to identify the category of each nucleus in prostate tissue image data, said category representing the malignancy grade of the tissue surrounding the nuclei. The method of the present disclosure automatically segments the glands and identifies the nuclei in a prostate tissue data set. Said segmented glands are assigned a category by at least one domain expert, and said category is then used to automatically assign a category to each nucleus corresponding to the category of said nucleus' surrounding tissue. A multitude of windows, each said window surrounding a nucleus, comprises the training data for the deep learning network.

Abstract: A display method executed by a processor includes: acquiring an identification result relating to any one of a plurality of elements included in a series of exercise and a position of an athlete that performs the elements based on 3D sensing data that is acquired by sensing the series of exercise by the athlete of a sport scored by a judge and an element dictionary data in which characteristics of an element and a position of the sport scored by a judge are defined; identifying any one of an element and a position that is being displayed in a 3D model video based on the 3D sensing data corresponding to the series of exercise, based on the identification result; and identifying, for the any one of the element and the position being displayed, time information corresponding to a boundary with any one of a next element and a next position.

Abstract: A method, system, and computer program product for determining selection parameters for filtering algorithms using environmental data of images. The method may include receiving an image. The method may also include analyzing the image using at least image processing. The method may also include identifying, based on the analyzing, image data and environmental data of the image. The method may also include inputting the image data and the environmental data into a machine learning algorithm, where the machine learning algorithm includes mapped relationships between at least the environmental data and selection parameters. The method may also include predicting, using the machine learning algorithm, optimal selection parameters for the image. The method may also include applying the optimal selection parameters to a filtering algorithm for the image. The system and computer program product may include similar steps.

Abstract: In an installation position information providing apparatus, specific two parts in a vehicle or in a vicinity of the vehicle and a floor surface on which the vehicle is mounted are recognized from a video that is captured, an installation position of an adjustment facility in the video is calculated based on the two parts and the floor surface that are recognized, and an installation position object indicative of the installation position is displayed at the installation position that is calculated in a superimposed manner, in the video that is displayed.

Abstract: Various embodiments of systems and methods for adaptive video subsampling for energy-efficient object detection are disclosed herein.

Abstract: Provided are an image processing apparatus, an image processing method, an image processing program, and a recording medium that stores the program, capable of finding images of different persons captured in the same age. An image is specified as a first image, a user in the image is recognized as a first person, and an age thereof is estimated. An image is specified as a second image, a user in the image is recognized as a second person, and an age thereof is estimated. In a case where the user recognized as the first person and the user recognized as the second person are not the same person and a difference between the age of the user and the age of the user is within a range of a threshold value, the first image and the second image are detected as an image combination.

Abstract: Methods and apparatus to adapt medical imaging interfaces based on learning are disclosed. An example apparatus includes a use monitor to monitor, in a first session, user actions and medical content data pertaining to operation of a clinical image display, a learning device including a processor to implement a learning network to develop a model for a subsequent session based on the user actions in relationship to a context of the medical content data. The model developed by defining contextual patterns of the user actions based on the context and the medical content data. The learning device is to update, prior to or during a second session subsequent the first session, a user interface based on the model.

Abstract: Methods, systems and devices for inspecting workpieces are described. The method comprises acquiring partial measurement data from a plurality of workpieces associated with a batch of workpieces; composing an inspection data set from the partial measurement data; comparing the inspection data set to a reference data set defining tolerances for the workpieces; and accepting and rejecting the batch of workpieces based on the comparing of the inspection data set to the reference data set.

Abstract: An interactive beverage container includes a beverage container that defines an opening which may be sealed by a closure. The closure may further include circuity that is configured to transmit data to a mobile device. When the closure is in a closed configuration with the closure attached to the opening, the circuitry does not transmit data to the mobile device and when the closure is in an open configuration with the closure removed from the opening, the circuitry transmits data to the mobile device. The data may include nutritional information, marketing materials, videos, track loyalty programs, and/or provide games or contests.

Abstract: A mobile communication system based on images, enabling communication between a plurality of mobile devices and servers, wherein the images have associated additional properties in the nature of voice, audio, data and other information. The system further enabling the formation of one or more image networks wherein the images are stored, organized, connected and linked to each other by one or more methods inclusive of one to one connection between images, a hierarchical connection between images and or other methods of connection between images to facilitate efficient image based communication between mobile devices, stationary devices and servers based on the mobile device identification, mobile device specific profiles and user specific profiles.

Abstract: The present disclosure discloses an image decompression method, device, and display terminal. The method includes: a step of acquiring image compression data; a step of performing inverse quantization on the image compression data based on a preset inverse quantization factor to obtain inversely quantized data; wherein the inverse quantization factor is in integer form; and a step of performing an inverse discrete cosine transformation (DCT) on the inversely quantized data to obtain image data; wherein the inverse DCT includes bit-shift operations and addition operations.

Abstract: Embodiments of categorizing fractures in a subsurface formation are provided herein. One embodiment comprises obtaining at least one borehole image for a plurality of fractures in a subsurface formation and at least one resistivity log for the plurality of fractures of the surface formation. The embodiment comprises determining first aperture data based on the at least one borehole image for the plurality of fractures and determining second aperture data based on the at the least one resistivity log for the plurality of fractures. The embodiment comprises comparing the first aperture data based on the at least one borehole image and the second aperture data based on at least one resistivity log to determine whether to categorize each fracture of the plurality of fractures as a naturally occurring fracture or a non-naturally occurring fracture. The embodiment comprises generating an output indicating the categorization of each fracture and displaying the output.

Abstract: Disclosed are a car damage picture angle correction method, an electronic device, and a readable storage medium. The method includes: after receiving a car damage picture to be classified and identified, identifying a rotation category corresponding to the received car damage picture by using a pre-trained picture rotation category identification model; determining a rotation control parameter corresponding to the identified rotation category according to a pre-determined mapping relation between rotation categories and rotation control parameters, the rotation control parameter including a rotation angle and a rotation direction; and rotating the received car damage picture according to the determined rotation control parameter, so as to generate an angle-normal car damage picture.

Abstract: A method of creating an album. The method includes a setting step of setting a first condition for generating a first page included in a first album and a second condition for generating a second page included in a second album, and a creation step of creating the first album including the first page generated in accordance with the first condition and a common page common to the first album and the second album and creating the second album including the second page generated in accordance with the second condition and the common page. At the creation step, by performing control to make the same a total number of pages of the first album and a total number of pages of the second album, the first album and the second album having the same total number of pages are created.

Abstract: Methods and systems for training and utilizing an artificial neural network (ANN) are provided. In an example method, a computing device can receive an image pair, where a first image of the image pair includes a training image and a second image of the image pair includes a ground truth image. The computing device can provide instances of the first image to a plurality of image filtering modules and determine respective filtered representations of the first image using the plurality of image filtering modules. The computing device can indirectly train an adaptor ANN by applying the adaptor ANN on the respective filtered representations to produce an adapted representation; determining, using a trained colorization ANN, a colorized image from the adapted representation; and updating weights of the adaptor ANN based on a loss function that comprises a difference between the colorized image and the second image of the image pair.