Methods and systems for identifying background in video data using geometric primitives
First Claim
1. A method comprising:
- obtaining video data comprising at least one frame of pixel data and depicting at least a portion of a user;
processing the video data with at least one persona identification module to generate at least one persona probability map, the at least one persona identification module comprising a geometric primitive module for generating a first persona probability map at least in part by;
detecting at least one geometric primitive depicted within the video data, wherein the at least one detected geometric primitive is a type of geometric primitive included in a set of geometric-primitive models;
identifying a respective region within the video data associated with each of the at least one detected geometric primitives; and
assigning the respective regions an increased background-probability in the first persona probability map; and
outputting a persona image depicting at least the portion of the user by extracting pixels from the at least one frame of pixel data based on the at least one persona probability map.
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Accused Products
Abstract
Systems and methods for using geometric primitives to identify background in video data. In one embodiment, a method obtains video data depicting at least a portion of a user. The video data is processed with at least one persona identification module comprising a geometric primitive module for generating a first persona probability map at least in part by: detecting at least one geometric primitive within the video data; identifying a respective region within the video data associated with each of the at least one detected geometric primitives; and assigning the respective regions an increased background-probability in the first persona probability map; and outputting a persona image by extracting pixels from the video data based on the persona probability map.
151 Citations
19 Claims
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1. A method comprising:
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obtaining video data comprising at least one frame of pixel data and depicting at least a portion of a user; processing the video data with at least one persona identification module to generate at least one persona probability map, the at least one persona identification module comprising a geometric primitive module for generating a first persona probability map at least in part by; detecting at least one geometric primitive depicted within the video data, wherein the at least one detected geometric primitive is a type of geometric primitive included in a set of geometric-primitive models; identifying a respective region within the video data associated with each of the at least one detected geometric primitives; and assigning the respective regions an increased background-probability in the first persona probability map; and outputting a persona image depicting at least the portion of the user by extracting pixels from the at least one frame of pixel data based on the at least one persona probability map. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A system comprising:
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a communication interface; a processor; and computer-readable non-transitory data storage containing instructions executable by the processor for causing the system to carry out a set of functions, the set of functions including; obtaining video data comprising at least one frame of pixel data and depicting at least a portion of a user; processing the video data with at least one persona identification module to generate at least one persona probability map, the at least one persona identification module comprising a geometric primitive module for generating a first persona probability map at least in part by; detecting at least one geometric primitive depicted within the video data, wherein the at least one detected geometric primitive is a type of geometric primitive included in a set of geometric-primitive models; identifying a respective region within the video data associated with each of the at least one detected geometric primitives; and assigning the respective regions an increased background-probability in the first persona probability map; and outputting a persona image depicting at least the portion of the user by extracting pixels from the at least one frame of pixel data based on the at least one persona probability map.
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Specification