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Abhishek Nagar

from Everett, WA
Age ~41
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Related to:
Upasna Nagar
Connected to:
Angel P Nagar, 47Anil K Nagar, 49Anish Nagar, 32Arpit Nagar, 37Gourav Nagar, 43John J Nagar, 105Laxmi Nagar, 52Mahendra B Nagar, 42Mitesh Nagar, 40Mona Nagar, 53

Abhishek Nagar Phones & Addresses

  • Everett, WA
  • 232 White Wing Ln, Plano, TX 75094
  • Murphy, TX
  • Dallas, TX
  • Garland, TX
  • Richardson, TX
  • Lansing, MI
  • East Lansing, MI

Publications

Us Patents

Apparatus And Method For Performing Visual Search

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US Patent:
20140016863, Jan 16, 2014
Filed:
Jun 27, 2013
Appl. No.:
13/929506
Inventors:
- Suwon-si, KR
Serhat Bucak - Lansing MI, US
Abhishek Nagar - Garland TX, US
Felix Carlos Fernandes - Plano TX, US
Gaurav Srivastava - Dallas TX, US
Assignee:
Samsung Electronics Co., LTD - Suwon-si
International Classification:
G06F 17/30
G06K 9/46
US Classification:
382165, 707723, 707736
Abstract:
A method comprises computing a color factor value indicating an amount of color gradients in at least one color channel from the query image. The method comprises combining the color-keypoints with the gray-keypoints when the color factor value is greater than a threshold. A method for performing a visual search comprises extracting a plurality of local descriptors from a query image and then selecting a subset of them based on various criteria's such as visual meaning score. A method comprises aggregating each mean vector for each visual codeword from distances between each visual codeword and local descriptors. The method comprises aggregating variance vector for each visual codeword from the distance between each visual codeword, and local descriptors. The method comprises transmitting aggregated mean vector information and aggregated variance vector information to a search server for efficient image retrieval.

Matching Performance And Compression Efficiency With Descriptor Code Segment Collision Probability Optimization

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US Patent:
20140310314, Oct 16, 2014
Filed:
Apr 10, 2014
Appl. No.:
14/249929
Inventors:
- Suwon-si, KR
Abhishek Nagar - Garland TX, US
Gaurav Srivastava - Dallas TX, US
Felix Carlos Fernandes - Plano TX, US
Assignee:
Samsung Electronics Co., Ltd. - Suwon-si
International Classification:
G06F 17/30
US Classification:
707780
Abstract:
A method and apparatus include extracting a global descriptor from a query image with a plurality of segments. The method also includes identifying segments with a desirable discriminating potential by analyzing data of the plurality of segments based on an available image database. The method also includes creating a bitmask where the identified segments are active. The method also includes masking any segment of the plurality of segments of the global descriptor that are inactive according to the bitmaskA method includes extracting a global descriptor from a query image and identifying one or more reference global descriptors. The method also includes determining a distance between the global descriptor and each of the one or more reference global descriptors. In addition, the method includes, responsive to the distance satisfying a threshold, adding an image associated with each of the one or more reference global descriptors that satisfy the threshold to a list.

Novel Criteria For Gaussian Mixture Model Cluster Selection In Scalable Compressed Fisher Vector (Scfv) Global Descriptor

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US Patent:
20140198998, Jul 17, 2014
Filed:
Jan 9, 2014
Appl. No.:
14/151657
Inventors:
- Suwon-si, KR
Zhu Li - Plano TX, US
Abhishek Nagar - Garland TX, US
Ankur Saxena - Dallas TX, US
Zhan Ma - San Jose CA, US
Felix Carlos Fernandes - Plano TX, US
Assignee:
Samsung Electronics Co., Ltd. - Suwon-si
International Classification:
G06F 17/30
US Classification:
382305
Abstract:
A wireless communication device includes a processor configured to execute an image query. The image query utilizes cluster selection criteria for a cluster-aggregation based vectorization of a set of local features based on a quantity of top local features having the highest posteriori probability values. The cluster selection criterion is measured as the summation of the posteriori probability values of the top local features. The quantity of top local features is determined by a predetermined integer value greater than one.

Visual Search Accuracy With Hamming Distance Order Statistics Learning

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US Patent:
20140201200, Jul 17, 2014
Filed:
Jan 13, 2014
Appl. No.:
14/153907
Inventors:
- Suwon-si, KR
Abhishek Nagar - Garland TX, US
Kong Posh Bhat - Plano TX, US
Xin Xin - Bellevue WA, US
Gaurav Srivastava - Dallas TX, US
Felix Carlos Fernandes - Plano TX, US
Assignee:
Samsung Electronics Co., Ltd. - Suwon-si
International Classification:
G06F 17/30
US Classification:
707723, 707752
Abstract:
Global descriptors for images within an image repository accessible to a visual search server are compared based on order statistics processing including sorting (which is a non-linear transform) and heat kernel matching. Affinity scores are computed for Hamming distances between Fisher vector components corresponding to different clusters of global descriptors from a pair of images and normalized to [0, 1], with zero affinity scores assigned to non-active cluster pairs. Linear Discriminant Analysis is employed to determine a sorted vector of affinity scores to obtain a new global descriptor. The resulting global descriptors produce significantly more accurate matching.

Two Way Local Feature Matching To Improve Visual Search Accuracy

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US Patent:
20140195560, Jul 10, 2014
Filed:
Oct 22, 2013
Appl. No.:
14/060314
Inventors:
- Suwon-si, KR
Zhu Li - Plano TX, US
Abhishek Nagar - Garland TX, US
Gaurav Srivastava - Dallas TX, US
Zhan Ma - San Jose CA, US
Kong Posh Bhat - Plano TX, US
Felix Carlos Fernandes - Plano TX, US
Assignee:
Samsung Electronics Co., LTD - Suwon-si
International Classification:
G06F 17/30
US Classification:
707772
Abstract:
To improve precision of visual search processing, SIFT points within a query image are forward matched to features in each of a plurality of repository images and SIFT points within each repository image are backward matched to features within the query image. Forward-only, backward-only and forward-and-backward matches may be weighted differently in determining an image match. Two way matching may be triggered by query image bit rate in excess of a threshold or by a sum of weighted distances between matching points exceeding a threshold. Significant performance gains in eliminating false positive matches are achieved.

Robust Keypoint Feature Selection For Visual Search With Self Matching Score

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US Patent:
20140185941, Jul 3, 2014
Filed:
Dec 9, 2013
Appl. No.:
14/101047
Inventors:
- Suwon-si, KR
Xin Xin - Bellevue WA, US
Abhishek Nagar - Garland TX, US
Gaurav Srivastava - Dallas TX, US
Kong Posh Bhat - Plano TX, US
Felix Carlos Fernandes - Plano TX, US
Assignee:
Samsung Electronics Co., LTD - Suwon-si
International Classification:
G06K 9/46
US Classification:
382201
Abstract:
To improve feature selection accuracy during a visual search, interest points within a query image are two-way matched to features in an affine transformed image or otherwise transformed version of the query image. A user device implements a method for selecting local descriptors in the visual search. The method includes: detecting a first set of interest points for the original image; computing an affine transform matrix; computing a new image as a transformation of the original image using the affine transform matrix; detecting a second set of interest points from the and new image; performing a two-way matching between the first set of interest points and the second set of interest points; sorting matching pairs according to a specified self-matching score (SMS); assigning an infinite value to SMS of unmatched interest points from the original image; selecting the interest points based on SMS. Significant performance gains reduce false positive matches.

Incremental Visual Query Processing With Holistic Feature Feedback

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US Patent:
20140101195, Apr 10, 2014
Filed:
Oct 8, 2013
Appl. No.:
14/048988
Inventors:
Zhu Li - Plano TX, US
Ankur Saxena - Dallas TX, US
Abhishek Nagar - Garland TX, US
Gaurav Srivastava - Dallas TX, US
Kong Posh Bhat - Plano TX, US
Assignee:
Samsung Electronics Co., LTD - Suwon-si
International Classification:
G06F 17/30
US Classification:
707769
Abstract:
To reduce communication costs and computational complexity, only a subset of ranked SIFT points within a query image for a visual search request is transmitted to the visual search server in each iteration of an incremental search. For each candidate match, a flag identifying the matching points is returned by the server for use in computing holistic (e.g., histogram) information for a bounding box within the query image including the matching points. Distance from that query image holistic information is used to reject images from a short list used for a subsequent iteration, if any. If all images are rejected or a match criteria is met during one iteration, the search may terminate early without consideration of remaining SIFT points.
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Abhishek Nagar from Everett, WA, age ~41 Get Report