Method and System for Optimizing Accuracy-Specificity Trade-offs in Large Scale Visual Recognition

摘要

As visual recognition scales up to ever larger numbers of categories, maintaining high accuracy is increasingly difficult. Embodiment of the present invention include methods for optimizing accuracy-specificity trade-offs in large scale recognition where object categories form a semantic hierarchy consisting of many levels of abstraction.

主权项

1. A computerized method for classifying images, comprising:
receiving an image hierarchy; receiving a first image of interest wherein the image includes at least one feature; classifying at least one feature of the image according to the image hierarchy; generating a measure of uncertainty associated with the classification of the at least one feature; optimizing the classification of the at least one feature of the image using the measure of uncertainty; and generating at least one optimized classification of the at least one feature of the image for the first image of interest.