Image processing

US9940655B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9940655-B2
Application numberUS-201615002509-A
CountryUS
Kind codeB2
Filing dateJan 21, 2016
Priority dateOct 31, 2005
Publication dateApr 10, 2018
Grant dateApr 10, 2018

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

An image processing method includes partitioning an image under test to form a plurality of contiguous image segments having similar image properties, deriving feature data from a subset including one or more of the image segments, and comparing the feature data from the subset of image segments with feature data derived from respective image segments of one or more other images so as to detect a similarity between the image under test and the one or more other images.

First claim

Opening claim text (preview).

The invention claimed is: 1. An image capture device comprising: a storage medium configured to store captured image data; a display; a user interface configured to receive a section of an area of an image from the image data when the image data is output to the display; circuitry configured to partition the image into image segments including at a least one segment corresponding the selected area of the image, each segment representing set of pixels having similar properties; and derive a representation of at least the segment corresponding to the selected area of the image, the representation comprising quantized image data; and a network interface configured to transmit the representation of the segment corresponding the selected area of the image; and receive data indicative of a purchasable article or service representing a match to a reference representation associated with a at least one purchasable article or service, wherein the circuitry is configured to interpret the received data and output for display purchase details of the purchasable article or service. 2. The image capture device of claim 1 , wherein the match is determined when a threshold of similarly between the representation of the segment and the reference representation exceed a predetermined threshold. 3. The image capture device of claim 1 , wherein the representation comprises quantized image color data. 4. The image capture device of claim 1 , wherein the representation comprises feature data representing quantized image color data and other properties of the segment. 5. The image capture device of claim 1 , wherein the purchase details include data indicative of a price and a purchase control, and the purchase control is executable in response to the user control. 6. A method comprising: storing captured image data; receiving a selection of an area of an image from the image data when the image data is displayed by a display; partitioning the image into image segments including at a least one segment corresponding to the selected area of the image, each segment representing set of pixels having similar properties; deriving a representation of at least the segment corresponding the selected area of the image, the representation comprising quantized image data; transmitting the representation of the segment corresponding the selected area of the image; receiving data indicative of a purchasable article or service representing a match to a reference representation associated with a at least one purchasable article or service; and interpreting the received data and outputting for display purchase details of the purchasable article or service. 7. The method of claim 6 , wherein the match is determined when a threshold of similarly between the representation of the segment and the reference representation exceed a predetermined threshold. 8. The method of claim 6 , wherein the representation comprises quantized image color data. 9. The method of claim 6 , wherein the representation comprises feature data representing quantized image color data and other properties of the segment. 10. The method of claim 6 , wherein the purchase details include data indicative of a price and a purchase control, and the method further comprises executing the purchase control in response to the user control. 11. The method of claim 6 , wherein the reference representation is indicative of features of segments of a reference image. 12. The method of claim 6 , wherein the purchase details include a hyperlink for the purchasable article or hyperlink. 13. A non-transitory computer readable medium including computer program instructions, which when executed by a computer causes the computer to perform the method of claim 6 . 14. A method comprising: receiving first images and associated hyperlinks corresponding to purchasable items or services; deriving reference feature data from the first images and storing the feature data on a non-transitory computer readable storage medium in association with the hyperlinks; receiving feature data representing segments of second images via a network connection; and comparing, by a computer, the received feature data with reference feature data, and where a similarity between the received feature data with the reference feature data is within a comparison threshold providing the hyperlinks associated with the reference feature data via a network connection; and receiving compensation dependent upon whether a user selects the hyperlinks provided via a network connection. 15. The method of claim 14 , wherein the first images are received via the network connection. 16. The method of claim 14 , wherein the deriving includes deriving reference feature data representing segments of the first images. 17. The method of claim 14 , wherein the reference feature data represents segments of the first images, and the comparing includes comparing the feature data representing the segments of the second image with the reference feature data representing segments of the first images. 18. The method of claim 16 , wherein the comparing includes comparing the feature data representing segments of the second image with the reference feature data representing segments of the first images. 19. The method of claim 14 , wherein at least one of the hyperlinks associated with the reference feature data is a hyperlink for purchasing a product or service associated with the reference feature data. 20. The method of claim 19 , wherein the compensation is dependent upon whether the user purchases the product or service upon selecting the hyperlink for purchasing the product or service. 21. The method of claim 14 , wherein at least one of the hyperlinks associated with the reference feature data is a hyperlink for processing a click-through payment for purchasing a product or service associated with the reference feature data. 22. The method of claim 21 , wherein the compensation is dependent upon whether the user purchases the product or service upon selecting the hyperlink for processing the click-through payment for purchasing the product or service associated with the reference feature data. 23. One or more non-transitory computer-readable media including computer program code, which when executed by an information processing system, cause the information processing system to execute the method of claim 14 .

Assignees

Inventors

Classifications

  • Classification; Matching · CPC title

  • relating to colour · CPC title

  • by analysing connectivity, e.g. edge linking, connected component analysis or slices · CPC title

  • using colour · CPC title

  • Physics · mapped topic

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Frequently asked questions

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What does patent US9940655B2 cover?
An image processing method includes partitioning an image under test to form a plurality of contiguous image segments having similar image properties, deriving feature data from a subset including one or more of the image segments, and comparing the feature data from the subset of image segments with feature data derived from respective image segments of one or more other images so as to detect…
Who is the assignee on this patent?
Sony Europe Ltd
What technology area does this patent fall under?
Primary CPC classification G06Q30/0621. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Apr 10 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).