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US 7,680,340 B2Granted
Method of using temporal context for image classification
AssigneeEastman Kodak Company
InventorsJiebo Luo, Matthew R. Boutell
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Abstract
A method for improving scene classification of a sequence of digital images is disclosed herein. Such a method may include providing a sequence of images captured in temporal succession; (b) classifying each of the images individually based on information contained in the image alone to generate a first image classification; and (c) imposing a pre-determined temporal context model on the sequence of images to generate a final image classification for each image in the sequence.
Claims10
A method for improving scene classification of a sequence of digital images comprising the steps of:
- (a) providing a sequence of images captured in temporal succession, at least two pairs of consecutive images in the sequence of images having different elapsed times between their capture;
- (b) classifying, with a programmed digital computer, each of the images individually based on information contained in the individual image to generate an initial content-based image classification for each of the images;
- (c) generating, with a programmed digital computer, a final image classification for each image based at least on the respective initial content-based image classification and a pre-determined temporal context model that considers at least the temporal succession of the sequence of images;
- and
- (d) storing the final image classifications in a computer readable storage medium,
- wherein the classifying of step (b), and the final image classification classify images into one of a predetermined number of classes M, and
- wherein M is greater than or equal to two.
4 more elements
Dependencies are inferred from the claim text.