SYSTEM AND METHOD FOR SEMANTICALLY ANNOTATING IMAGES
First Claim
1. A method for semantically annotating images in a plurality of images, each image in the plurality of images comprising at least one image region, the method comprising:
- identifying at least two similar images including a first image and a second image;
identifying corresponding image regions in the first image and the second image; and
assigning, using at least one processor, annotations to image regions in one or more images in the plurality of images by using a metric of fit indicative of a degree of match between the assigned annotations and the corresponding image regions,wherein the metric of fit depends on at least one annotation for each image in a subset of the plurality of images and the identified correspondence between image regions in the first image and the second image.
2 Assignments
0 Petitions
Accused Products
Abstract
Techniques for semantically annotating images in a plurality of images, each image in the plurality of images comprising at least one image region. The techniques include identifying at least two similar images including a first image and a second image, identifying corresponding image regions in the first image and the second image, and assigning, using at least one processor, annotations to image regions in one or more images in the plurality of images by using a metric of fit indicative of a degree of match between the assigned annotations and the corresponding image regions. The metric of fit may depend on at least one annotation for each image in a subset of the plurality of images and the identified correspondence between image regions in the first image and the second image.
23 Citations
20 Claims
-
1. A method for semantically annotating images in a plurality of images, each image in the plurality of images comprising at least one image region, the method comprising:
-
identifying at least two similar images including a first image and a second image; identifying corresponding image regions in the first image and the second image; and assigning, using at least one processor, annotations to image regions in one or more images in the plurality of images by using a metric of fit indicative of a degree of match between the assigned annotations and the corresponding image regions, wherein the metric of fit depends on at least one annotation for each image in a subset of the plurality of images and the identified correspondence between image regions in the first image and the second image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
-
-
10. A system for enabling text-based search for images in a plurality of images based at least in part on image-level annotations associated with the images, the system comprising:
at least one processor configured to; identify at least two similar images including a first image and a second image; identify corresponding image regions in the first image and the second image; and assign annotations to image regions in one or more images in the plurality of images by using a metric of fit indicative of a degree of match between the assigned annotations and the corresponding image regions, wherein the metric of fit depends on at least one annotation for each image in a subset of the plurality of images and the identified correspondence between image regions in the first image and the second image. - View Dependent Claims (11, 12, 13, 14)
-
15. At least one tangible computer-readable storage medium storing processor-executable instructions that, when executed by at least one processor, perform a method for semantically annotating images in a plurality of images, each image in the plurality of images comprising one or more pixels, the method comprising:
-
obtaining at least one image-level annotation for each image in a subset of the plurality of images; identifying at least two similar images including a first image and a second image; identifying corresponding pixels in the first image and the second image; and assigning annotations to pixels in one or more images in the plurality of images by using a metric of fit indicative of a degree of match between the assigned annotations and the corresponding pixels, wherein the metric of fit depends on at least one obtained image-level annotation and the identified correspondence between pixels in the first image and the second image. - View Dependent Claims (16, 17, 18, 19, 20)
-
Specification