Abstract: Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence/machine learning (AI/ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems.

Abstract: Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI/ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems.

Abstract: Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence/machine learning (AI/ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems.

Abstract: Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence/machine learning (AI/ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems.

Abstract: Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence/machine learning (AI/ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems.

Abstract: In some implementations, the techniques described herein relate to a method including: transmitting, by an access point, a message to a wireless device and receiving a response to the message, the response including a list of access points nearby the wireless device; determining, by the access point, a location of the wireless device based on the list of access points utilizing a trilateration algorithm; determining, by the access point, a type of the wireless device; identifying, by the access point, one or more nearby wireless devices within a threshold proximity to the wireless device; and categorizing, by the access point, one of the wireless device or a location of the wireless device based on the one or more nearby wireless devices and the type of the wireless device.

Abstract: An apparatus for obtaining an image of a cornea is described herein. The apparatus includes a stereomicroscope configured to obtain and display 2D or 3D image content of an eye of a patient, with pupil imaging optics that form a pupil along an optical axis and a shutter configured to form a pattern of one or more apertures for light at the formed pupil, and an input prism is configured to direct light to or from the optical axis, with optics configured to convey light along the optical axis to a sensor.

Abstract: An apparatus for obtaining an image of a cornea having a stereomicroscope configured to obtain and display 2D or 3D image content of an eye of a patient, with pupil imaging optics that form a pupil along an optical axis and a shutter configured to form a pattern of one or more apertures for light at the formed pupil. An input prism is configured to direct light to or from the optical axis, with optics configured to convey light along the optical axis to a sensor.

Abstract: A smart ring includes a battery, memory, processing circuitry, a plurality of sensors, a plurality of antennas, and a battery, each coupled to one another and all enclosed in a casing, wherein the processing circuitry is configured to conserve the battery by any of sending data to the cloud service when an application is open on the user device, sending data to the cloud service when a threshold is crossed, waking up processing or communicating when there is a change in motion detected by the accelerometer.

Abstract: An apparatus for obtaining an image of a cornea having a stereomicroscope configured to obtain and display 2D or 3D image content of an eye of a patient, with pupil imaging optics that form a pupil along an optical axis and a shutter configured to form a pattern of one or more apertures for light at the formed pupil. An input prism is configured to direct light to or from the optical axis, with optics configured to convey light along the optical axis to a sensor.

Abstract: A graphic removal process for document images involves two stages: First, removal of graphics in the document image based on heuristic text analyses; and second, text recovery to recover some text that is accidentally removed during the first stage. The first stage uses a relatively aggressive strategy to ensure that all graphics components are removed, which also temporarily leads to the removal of some text; the lost text will then be recovered using the text recovery technique. The heuristic text analyses utilize the geometric properties of text characters and consider the properties of text characters in relation to their neighbors. The text recovery technique starts from the text that remain after the first stage, and recovers any connected component that is at least partially located within a pre-defined neighboring area around any of the text components in the intermediate document image.

Abstract: A graphic removal process for document images involves two stages: First, removal of graphics in the document image based on heuristic text analyses; and second, text recovery to recover some text that is accidentally removed during the first stage. The first stage uses a relatively aggressive strategy to ensure that all graphics components are removed, which also temporarily leads to the removal of some text; the lost text will then be recovered using the text recovery technique. The heuristic text analyses utilize the geometric properties of text characters and consider the properties of text characters in relation to their neighbors. The text recovery technique starts from the text that remain after the first stage, and recovers any connected component that is at least partially located within a pre-defined neighboring area around any of the text components in the intermediate document image.

Abstract: Aspects of the present invention are related to systems, methods and apparatus for automatic quality assessment of a video sequence. According to a first aspect of the present invention, a quality index may be generated by combining a spatial quality index and a temporal quality index. According to a second aspect of the present invention, a spatial quality index may be calculated using a modified exponential moving average model to pool multi-scale structural similarity indices computed from test frame—reference frame pairs. According to a third aspect of the present invention, a temporal quality index may be generated by averaging multi-scale structural similarity indices computed from difference image pairs, wherein one difference image is formed between reference frames and another difference image is formed between a reference frame and a test frame.

Abstract: Aspects of the present invention are related to systems, methods and apparatus for automatic quality assessment of a video sequence. According to a first aspect of the present invention, a quality index may be generated by combining a spatial quality index and a temporal quality index. According to a second aspect of the present invention, a spatial quality index may be calculated using a modified exponential moving average model to pool multi-scale structural similarity indices computed from test frame—reference frame pairs. According to a third aspect of the present invention, a temporal quality index may be generated by averaging multi-scale structural similarity indices computed from difference image pairs, wherein one difference image is formed between reference frames and another difference image is formed between a reference frame and a test frame.