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US Patent 8625902 Object recognition using incremental feature extraction

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
86259021
Patent Inventor Names
John H. Hong1
Onur C. Hamsici1
Pawan Kumar Baheti1
Ashwin Swaminathan1
Chong Uk Lee1
Murali Ramaswamy Chari1
Sundeep Vaddadi1
Yuriy Reznik1
Date of Patent
January 7, 2014
1
Patent Application Number
131932941
Date Filed
July 28, 2011
1
Patent Citations Received
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US Patent 12094163 Method, apparatus, and computer program product for displaying virtual graphical data based on digital signatures
2
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US Patent 11659255 Detection of common media segments
3
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US Patent 11711554 Methods for identifying video segments and displaying option to view from an alternative source and/or on an alternative device
4
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US Patent 11756163 Detecting keypoints in image data
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US Patent 11775614 Unsupervised multi-scale disparity/optical flow fusion
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US Patent 11971919 Systems and methods for partitioning search indexes for improved efficiency in identifying media segments
5
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US Patent 11991295 Method, apparatus, and computer program product for identifying an object of interest within an image from a digital signature generated by a signature encoding module including a hypernetwork
6
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US Patent 12019675 Recognizing text in image data
7
...
Patent Primary Examiner
‌
Andrae S Allison
1
Patent abstract

In one example, an apparatus includes a processor configured to extract a first set of one or more keypoints from a first set of blurred images of a first octave of a received image, calculate a first set of one or more descriptors for the first set of keypoints, receive a confidence value for a result produced by querying a feature descriptor database with the first set of descriptors, wherein the result comprises information describing an identity of an object in the received image, and extract a second set of one or more keypoints from a second set of blurred images of a second octave of the received image when the confidence value does not exceed a confidence threshold. In this manner, the processor may perform incremental feature descriptor extraction, which may improve computational efficiency of object recognition in digital images.

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