US2011106845A1PendingUtilityA1
Information search and retrieval system
Assignee: MASSACHUSETTS INST TECHNOLOGYPriority: Oct 27, 1997Filed: Dec 21, 2010Published: May 5, 2011
Est. expiryOct 27, 2017(expired)· nominal 20-yr term from priority
G06V 10/754G06T 7/001G06F 16/5854G06T 2207/30148G06F 16/58G06T 2207/30141Y10S707/99933G06V 2201/06G06T 7/97G06T 7/0006Y10S707/99936G06F 16/5866G06T 2207/30152G06T 2207/30004G06F 16/583G06F 16/5838Y10S707/99934
50
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Claims
Abstract
Method and systems for search and retrieval of images with an image processing system is disclosed. With an input interface, selection of a plurality of images to use in a search query is accepted. The plurality of images of the search query are processed with the image processing system. A subset of the plurality of target images that are similar to the plurality of images is determined. With an output interface, the subset of the plurality of target images as a result from the search query is output.
Claims
exact text as granted — not AI-modified1 . An image processing engine for search and retrieval of images, the image processing engine comprising:
an output interface; an input interface, wherein the input interface accepts selection of a plurality of images to use in a search query; a plurality of target images; and an image processing system, wherein:
the image processing system, wherein:
the image processing system uses the plurality of images in the search query, and
the image processing system determines a subset of the plurality of target images that are similar to the plurality of images.
2 . The image processing engine for search and retrieval of images as recited in claim 1 , wherein the plurality of images are of bad connection points for a circuit card.
3 . The image processing engine for search and retrieval of images as recited in claim 1 , wherein the image processing system combines the plurality of images into a composite image used in the search query.
4 . The image processing engine for search and retrieval of images as recited in claim 1 , wherein the input interface receives selection of a region to be emphasized in the search query.
5 . The image processing engine for search and retrieval of images as recited in claim 1 , wherein the plurality of images include at least one positive example image that typifies what should be found with the search query.
6 . The image processing engine for search and retrieval of images as recited in claim 1 , wherein the plurality of images include at least one negative example image that typifies what should not be found with the search query.
7 . The image processing engine for search and retrieval of images as recited in claim 1 , wherein the image processing system learns over time parameters for best determining the subset.
8 . The image processing engine for search and retrieval of images as recited in claim 1 , wherein the image processing system scales at least a portion of one of the plurality of images and the plurality of target images to a similar scale.
9 . A method for search and retrieval of images with an image processing system, the method comprising:
accepting, with an input interface, selection of a plurality of images to use in a search query; processing the plurality of images of the search query with the image processing system; determining a subset of the plurality of target images that are similar to the plurality of images; and outputting, with an output interface, the subset of the plurality of target images as a result from the search query.
10 . The method for search and retrieval of images with the image processing system as recited in claim 9 , further comprising combining, using the image processing system, the plurality of images into a composite image used in the search query.
11 . The method for search and retrieval of images with the image processing system as recited in claim 9 , further comprising receiving, with the input interface, selection of a region to be emphasized in the search query.
12 . The method for search and retrieval of images with the image processing system as recited in claim 9 , wherein the plurality of images include at least one positive example image that typifies what should be found with the search query.
13 . The method for search and retrieval of images with the image processing system as recited in claim 9 , wherein the plurality of images include at least one negative example image that typifies what should not be found with the search query.
14 . The method for search and retrieval of images with the image processing system as recited in claim 9 , further comprising determining, over time with the image processing system, parameters for best determining the subset.
15 . The method for search and retrieval of images with the image processing system as recited in claim 9 , further comprising scaling, with the image processing system, at least a portion of one of the plurality of images and the plurality of target images to a similar scale.
16 . A storage medium with computer-readable instructions for execution on a processor, comprising code for:
accepting, with an input interface, selection of a plurality of images to use in a search query; processing the plurality of images of the search query with the image processing system; determining a subset of the plurality of target images that are similar to the plurality of images; and outputting, with an output interface, the subset of the plurality of target images as a result from the search query.
17 . The storage medium with computer-readable instructions for execution on the processor as recited in claim 16 , further comprising code for combining, using the image processing system, the plurality of images into a composite image used in the search query.
18 . The storage medium with computer-readable instructions for execution on the processor as recited in claim 16 , further comprising code for receiving, with the input interface, selection of a region to be emphasized in the search query.
19 . The storage medium with computer-readable instructions for execution on the processor as recited in claim 16 , wherein the plurality of images include at least one positive example image that typifies what should be found with the search query.
20 . The storage medium with computer-readable instructions for execution on the processor as recited in claim 16 , wherein the plurality of images include at least one negative example image that typifies what should not be found with the search query.
21 . The storage medium with computer-readable instructions for execution on the processor as recited in claim 16 , further comprising code for determining, over time with the image processing system, parameters for best determining the subset.
22 . The storage medium with computer-readable instructions for execution on the processor as recited in claim 16 , further comprising code for scaling, with the image processing system, at least a portion of one of the plurality of images and the plurality of target images to a similar scale.
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