AUTOMATED IMAGE CAPTURE BASED ON EMOTION DETECTION
First Claim
1. A computer-implemented method for automated image capture based on emotion detection, the method comprising:
- receiving a selection of an emotion class from among a set of emotion classes presented via a graphical user interface, the emotion class indicating an emotion exhibited by a subject desired to be captured in an image;
analyzing a set of images corresponding with a video to identify at least one image in which a subject exhibits the emotion associated with the selected emotion class, wherein the set of images are analyzed using at least one neural network that classifies images in association with emotion exhibited in the images; and
providing the at least one image in association with the selected emotion class.
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Abstract
Methods and systems are provided for performing automated capture of images based on emotion detection. In embodiments, a selection of an emotion class from among a set of emotion classes presented, via a graphical user interface, is received. The emotion class can indicate an emotion exhibited by a subject desired to be captured in an image. A set of images corresponding with a video is analyzed to identify at least one image in which a subject exhibits the emotion associated with the selected emotion class. The set of images can be analyzed using at least one neural network that classifies images in association with emotion exhibited in the images. Thereafter, the image can be presented in association with the selected emotion class.
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Citations
20 Claims
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1. A computer-implemented method for automated image capture based on emotion detection, the method comprising:
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receiving a selection of an emotion class from among a set of emotion classes presented via a graphical user interface, the emotion class indicating an emotion exhibited by a subject desired to be captured in an image; analyzing a set of images corresponding with a video to identify at least one image in which a subject exhibits the emotion associated with the selected emotion class, wherein the set of images are analyzed using at least one neural network that classifies images in association with emotion exhibited in the images; and providing the at least one image in association with the selected emotion class. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. One or more computer-readable media having a plurality of executable instructions embodied thereon, which, when executed by one or more processors, cause the one or more processors to perform a method for automated image capture based on emotion detection, the method comprising:
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obtaining a set of images for which to identify at least one image in which a subject exhibits a particular emotion class; classifying each image of the set of images into an emotion class based on the emotion exhibited in the corresponding image using at least one neural network, the at least one neural network classifying each image based on facial expression and body expression exhibited in the corresponding image; and selecting one or more images classified into the particular emotion class for presentation, wherein the one or more images classified into the particular emotion class are selected based on emotion scores output by the at least one neural network in accordance with the classification. - View Dependent Claims (12, 13, 14, 15, 16)
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17. A computing system comprising:
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one or more processors; and one or more non-transitory computer-readable storage media, coupled with the one or more processors, having instructions stored thereon, which, when executed by the one or more processors, cause the computing system to provide; means for training a neural network system, wherein the neural network system includes a first neural network that classifies images as exhibiting an emotion based on facial expression and body expression; and means for using the neural network system to identify an image within a set of images in which a subject exhibits a particular emotion class. - View Dependent Claims (18, 19, 20)
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Specification