METHOD AND SYSTEM FOR CLASSIFYING ONE OR MORE IMAGES
First Claim
1. A method for classifying at least one image, the method comprises:
- partitioning the at least one image to multiple media entities or receiving a partition information indicative of a partition of the at least one image to multiple media entities;
receiving or generating (a) media class descriptors for each media entity class out of a set of media entity classes, and (b) probability estimations of descriptor space representatives given each of the media entity classes;
wherein the descriptor space representatives are representative of a set of media entities;
calculating, for each pair of media entity and media class, a predictability score based on (a) the probability estimations of the descriptor space representatives given the media class descriptors of the media class, and (b) relationships between descriptors of the media entity and the descriptor space representatives;
classifying each media entity of the multiple media entities based on predictability scores of the media entity given each media class; and
providing at least one image classification, based on classes of each of the multiple media entities.
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Accused Products
Abstract
A method for determining a predictability of a media entity portion, the method includes: receiving or generating (a) reference media descriptors, and (b) probability estimations of descriptor space representatives given the reference media descriptors; wherein the descriptor space representatives are representative of a set of media entities; and calculating a predictability score of the media entity portion based on at least (a) the probability estimations of the descriptor space representatives given the reference media descriptors, and (b) relationships between the media entity portion descriptors and the descriptor space representatives. A method for processing media streams, the method may include: applying probabilistic non-parametric process on the media stream to locate media portions of interest; and generating metadata indicative of the media portions of interest.
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Citations
26 Claims
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1. A method for classifying at least one image, the method comprises:
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partitioning the at least one image to multiple media entities or receiving a partition information indicative of a partition of the at least one image to multiple media entities; receiving or generating (a) media class descriptors for each media entity class out of a set of media entity classes, and (b) probability estimations of descriptor space representatives given each of the media entity classes;
wherein the descriptor space representatives are representative of a set of media entities;calculating, for each pair of media entity and media class, a predictability score based on (a) the probability estimations of the descriptor space representatives given the media class descriptors of the media class, and (b) relationships between descriptors of the media entity and the descriptor space representatives; classifying each media entity of the multiple media entities based on predictability scores of the media entity given each media class; and providing at least one image classification, based on classes of each of the multiple media entities. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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26. A computer program product that comprises a non-transitory computer readable medium that stores instructions for:
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partitioning the at least one image to multiple media entities or receiving a partition information indicative of a partition of the at least one image to multiple media entities; receiving or generating (a) media class descriptors for each media entity class out of a set of media entity classes, and (b) probability estimations of descriptor space representatives given each of the media entity classes;
wherein the descriptor space representatives are representative of a set of media entities;calculating, for each pair of media entity and media class, a predictability score based on (a) the probability estimations of the descriptor space representatives given the media class descriptors of the media class, and (b) relationships between descriptors of the media entity and the descriptor space representatives; classifying each media entity of the multiple media entities based on predictability scores of the media entity given each media class; and providing at least one image classification, based on classes of each of the multiple media entities.
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Specification