FIELD: image processing.
SUBSTANCE: group of inventions relates to image processing technologies and more specifically to systems and methods for image capture, using a mobile device. A computer-implemented method for image capture with a mobile device is proposed. The method contains a stage, at which an application for video capture, launched on the mobile device, receives a video stream from a camera of the mobile device. Next, a specific frame of the video frame is identified. A set of hypotheses determining image borders in the specific frame is generated. A trained neural network selects a specific hypothesis among the set of hypotheses. A value of a quality indicator of a candidate image is determined. In this case, if the value of the quality indicator of the selected frame is lower than a value of the quality indicator of a previously processed image, the selected frame is rejected, and a new frame is identified. A frame with the highest quality indicator is automatically recorded.
EFFECT: provision of automatic capture of the best quality of a video frame of a video stream with a mobile device, using an application not requiring installation on the mobile device.
20 cl, 6 dwg
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NEURAL NETWORK SYSTEMS AND COMPUTER-IMPLEMENTED METHODS OF IDENTIFYING AND/OR EVALUATING ONE OR MORE FOOD PRODUCTS IN VISUAL INPUT INFORMATION | 2018 |
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Authors
Dates
2022-12-29—Published
2020-12-23—Filed