Abstract: Systems and methods are presented herein for recording portions of a media asset relevant to recording criteria. A media application receives input indicating the recording criteria and identifying a first keyword. The media application accesses a data structure to identify a first node associated with the first keyword. The data structure includes the first node and a plurality of nodes connected to the first node via a plurality of paths. The media application receiving audio component data for a portion of the media asset extracts a term from the audio component data, and identifies a second node in the data structure that is associated with the extracted term. The media application calculates a path score for the portion of the media asset based on a path size in the data structure between the first node and the second node. When the score is high enough, the portion of the media asset is recorded.

Abstract: Methods and devices for combining a mask with a selectively progressing video stream may include receiving a selection of at least one mask with a mask zone that obscures at least a portion of the video stream. The methods and devices may include receiving a selection to emplace the at least one mask at a first location within the video stream. The methods and devices may include receiving a selection to enable a tracking icon to move the at least one mask to a second location within the video stream while the video stream progresses. The methods and devices may include generating a combined output of the video stream and the selective emplacement and movement of the at least one mask during the video stream progression.

Abstract: An approach for defining, capturing, assembling, and displaying customized video content is provided. In an embodiment, a method comprises: receiving, by a server computer, a video frame sequence that includes one or more video frames; applying, by the server computer, one or more filters to the one or more video frames to generate a video data file that captures geometry of a customizable object depicted in the one or more video frames; generating, by the server computer, customization instructions for customizing appearance of the customizable object; transmitting, from the server computer to a client computer, the video data file and the customization instructions to cause the client computer to execute the customization instructions with respect to the video data file to render a customized object, and to overlay the customized object over the customizable object in the video frame sequence.

Abstract: A camera device having an enlarged or wide-angle field of view generates images of surroundings simultaneously using only one image capturing unit, such as an image sensor, for example. The camera device uses a diverting unit disposed upstream of the image capturing unit. The diverting unit includes so-called holographic optical elements which, based on their deflection structures, divert or deflect light so that the camera device can capture the wide-angle field of view, without generating imaging aberrations on the resulting image(s). The deflection structures are wavelength-selective and/or angle-selective. The total field of view is subdivided into individual angle-of-incidence regions by virtue of the properties of the deflection structures.

Abstract: An approach for defining, capturing, assembling, and displaying customized video content is provided. In an embodiment, a method comprises: receiving, by a server computer, a video frame sequence that includes one or more video frames; applying, by the server computer, one or more filters to the one or more video frames to generate a video data file that captures geometry of a customizable object depicted in the one or more video frames; generating, by the server computer, customization instructions for customizing appearance of the customizable object; transmitting, from the server computer to a client computer, the video data file and the customization instructions to cause the client computer to execute the customization instructions with respect to the video data file to render a customized object, and to overlay the customized object over the customizable object in the video frame sequence.

Abstract: A warning device according to the present invention includes an image acquisition unit configured to acquire an image group including a plurality of images taken in succession, a detection unit configured to perform detection of an object on each of images in the image group, a determination unit configured to compare detection results of the object in the image group in chronological order and determine a degree of movement of the object, and a warning unit configured to issue a warning in accordance with the determined degree of movement, wherein the image acquisition unit acquires a plurality of image groups respectively based on a plurality of filter characteristics and the determination unit compares corresponding images between the plurality of image groups and thereby selects an image with high detection accuracy for each time period, compares the selected images in chronological order, and determines the degree of movement of the object.

Abstract: In a high speed image capturing state, a camera signal processing circuit is not needed to perform a signal process at a high screen rate, but at a regular screen rate. In the high speed image capturing mode, raw data of 240 fps received from an image sensor 101 are recorded on a recording device 111 through a conversion processing section 201 and a recording device controlling circuit 210. Raw data that have been decimated and size-converted are supplied to a camera signal processing circuit 203 through a pre-processing circuit 202 and an image being captured is displayed on a display section 112 with a signal for which a camera process has been performed.

Abstract: In one aspect, an example method includes (i) obtaining a set of user attributes for a user of a content-presentation device; (ii) based on the set of user attributes, obtaining structured data and determining a textual description of the structured data; (iii) transforming, using a text-to-speech engine, the textual description of the structured data into synthesized speech; and (iv) generating, using the synthesized speech and for display by the content-presentation device, a synthetic video of a targeted advertisement comprising the synthesized speech.

Abstract: A video retention system comprising a camera operated by a recording entity, and a video retention server adapted to receive, analyze, and manage video captured by the camera. The video retention server generates a one or more rules using a plurality of user-specified retention parameters which describe the recording entity and a desired retention objective. The rules embody video retention requirements applicable to the recording entity under applicable laws, regulations, and industry standards, and the video retention server executes the rules to delete unnecessary video files while retaining the video files which are necessary to comply with the video retention requirements associated with the specified retention objectives.

Abstract: Provided is a photoelectric conversion device including: a first substrate having a first face; photodiodes arranged in the first substrate and each having a first region that generates signal charges by photoelectrically converting an incident light and a second region that receives the signal charges moving from the first region; a first isolation region arranged in the first substrate at a first depth and including a first portion extending in a first direction so as to isolate the second regions from each other; and a second isolation region arranged in the first substrate at a second depth deeper than the first depth from the first face, and including a second portion extending in a second direction intersecting the first direction in plan view so as to isolate the first regions from each other, and the first and second portions are partially overlapped with each other in plan view.

Abstract: Methods and systems are provided for detecting objects or patient safety events in a patient room. Artificial intelligence is utilized to enhance safety issue recognition capabilities by the methods and systems. Sensors collect a series of images and depth data in a room of a patient. Data (corresponding to images and depth data of an object or patient safety event) is received from the sensors and compared to stored data to identify the object or patient safety event. The images are communicated to a central video monitoring system and a user may be prompted to confirm if the object requires learning or a patient safety event occurred (or identify the object or patient safety event) or to provide additional parameters or actions. A patient safety learning system analyzes the data and incorporates the user response to enhance safety issue recognition capabilities of the system and reduce false alerts.

Abstract: The invention relates to a device and a method for displaying the axis of astigmatism of an eye, in which an observation unit is used to observe the eye and, using a display unit, the orientation of the axis of astigmatism of the eye is displayed. A sensor unit generates sensor data which indicate a modification to the alignment of the observation unit relative to the eye. A calculation unit updates the displayed orientation of the axis of astigmatism with the aid of the sensor data, and issues it as the current orientation of the display unit.

Abstract: A networked computer system for recognizing objects in video images is described herein. The networked computer system includes a user display device, a camera, and an object recognition system. The camera includes an imaging device having a 360° field-of-view and a global positioning system (GPS) device. The object recognition system includes a processor programmed to execute an algorithm including receiving live-stream video images from the camera, detecting an object of interest within the live-stream video images, determining pixel coordinates associated with a center of the detected object of interest, receiving the geographic location data from the camera, determining a geographic location of the object of interest based on the determined pixel coordinates and the geographic location of the camera, and displaying the live-stream video images on the user display device including a visual indicator of the object of interest and the determined geographic location of the object of interest.

Abstract: Microscopic analysis of a sample includes a system using dark-field illumination. A mid-IR optical source generates a mid-infrared beam, which is directed onto the sample to induce a temperature change by absorption of the mid-infrared beam. A visible light source generates a light illuminating the sample on a substrate and creating a scattered field and a reflected field along a collection path of the system. A pupil mask is positioned along the collection path to block the reflected field while allowing the scattered field to pass therethrough. A camera is positioned at an end of the collection path to collect the scattered field and generate a dark-field image of the sample.

Abstract: A capsule endoscope device, system and method for dynamically adjusting a color illumination spectrum. A plurality of different color groups of LEDs may emit light, recorded by an image sensor, corresponding to a plurality of different respective wavelength subranges. A driving circuit may send a driving current to independently activate each different color group of LEDs during entirely or partially non-overlapping time pulses. A single color group of LEDs is independently activated at any one time, and the plurality of different color groups of LEDs are sequentially activated in successive time pulses to simulate a white light or multi-color illumination spectrum over a plurality of the time pulses. The activation pattern of the color groups of LEDs may be dynamically adjusted, in real-time, to achieve a flexible and customizable illumination spectrum ideal for imaging a variety of different environments e.g., in the GI tract.

Abstract: A computer-implemented method of processing video data comprising a first sequences of image frames containing a first instance of an object. The method includes isolating said first instance of the object within the first sequence of image frames, determining, using the isolated first instance of the object, first parameter values for a synthetic model of the object, modifying the first parameter values for the synthetic model of the object, rendering a modified first instance of the object using a trained machine learning model and the modified first parameter values for the synthetic model of the object, and replacing at least part of the first instance of the object within the first sequence of image frames with a corresponding at least part of the modified first instance of the object.

Abstract: A method for generating a quality inspection data block for a distributed ledger includes: determining an identification code associated with a sample to be inspected, inspecting the sample and thereby generating quality inspection data associated with the sample, and after completion of the inspecting of the sample combining the identification code and the quality inspection data into the quality inspection data block. The method also includes adding the quality inspection data block to the distributed ledger. An inspector including a sensor that senses a characteristic of a sample, a memory that stores sensor output data, and a processor configured to: determine an identification code associated with a sample to be inspected, generate quality inspection data based on the sensor output data, and combine the identification code and the quality inspection data into a quality inspection data block. In one example, the inspector is an in-flight 3D inspector.

Abstract: Provided herein are systems and methods for simultaneous imaging and stimulation using a microscope system. The microscope system can have a relatively small size compared to an average microscope system. The microscope can comprise in part an imaging light source and a stimulation light source. Light from the imaging light source and the stimulation light source can be spectrally separated to reduce cross talk between the stimulation light and the imaging light.

Abstract: Locations in which a person is depicted within video frames may be determined to identify portions of the video frames to be included in a composite video. A background image not including any depiction of the person may be generated, and the identified portions of the video frames may be inserted into the background image to generate the composite video.

Abstract: Methods and systems for providing mechanisms for automated inventory control are provided. In embodiments, an operational workflow for providing automated inventory control includes automated data collection and automated image data analysis. The automated data collection includes capturing image data for a storage facility by a capturing device (e.g., an unmanned aerial system (UAS)). The automated image data analysis includes functionality to detect objects (e.g., containers, trailers, empty slots, and/or other objects) appearing in the image data (e.g., using a machine learning (ML) model), to identify the objects in the image data (e.g., using the ML model), to inspect the objects (e.g., including determining a condition and/or location of the objects) based on the collected image data and metadata associated with the image capturing device and correlated to the image data (e.g.