Abstract: Methods and systems are described herein that allow a user to capture a single image snapshot from video, print, or the world around him or her, and obtain additional information relating to the media itself or items of interest displayed in the snapshot. A fingerprint of the snapshot is used as a query and transmitted to the server. Image Feature-Based Recognition, as described herein, uses a feature index to identify a smaller set of candidate matches from a larger database of images based on the fingerprint. Novel methods and systems using a distance metric and a radical hash table design exploit probabilistic effects and allow distinct image features to be preferred over redundant ones, allowing only the more distinctive data points to remain resident within the index, yielding a lean index that can be quickly used in the identification process.
Type:
Application
Filed:
December 14, 2015
Publication date:
April 21, 2016
Applicant:
GeeNee UG (haftungsbeschraenkt)
Inventors:
Philipp HOLZSCHNEIDER, Thorsten Otto Wolfgang MAGERS, Hannes PRIEHN
Abstract: Methods and systems are described herein that allow a user to capture a single image snapshot from video, print, or the world around him or her, and obtain additional information relating to the media itself or items of interest displayed in the snapshot. A fingerprint of the snapshot is used as a query and transmitted to the server. Image Feature-Based Recognition, as described herein, uses a feature index to identify a smaller set of candidate matches from a larger database of images based on the fingerprint. Novel methods and systems using a distance metric and a radical hash table design exploit probabilistic effects and allow distinct image features to be preferred over redundant ones, allowing only the more distinctive data points to remain resident within the index, yielding a lean index that can be quickly used in the identification process.
Type:
Grant
Filed:
April 21, 2015
Date of Patent:
January 5, 2016
Assignee:
Geenee UG
Inventors:
Philipp Holzschneider, Thorsten Otto Wolfgang Magers, Hannes Priehn
Abstract: Methods and systems are described herein that allow a user to capture a single image snapshot from video, print, or the world around him or her, and obtain additional information relating to the media itself or items of interest displayed in the snapshot. A fingerprint of the snapshot is used as a query and transmitted to the server. Image Feature-Based Recognition, as described herein, uses a feature index to identify a smaller set of candidate matches from a larger database of images based on the fingerprint. Novel methods and systems using a distance metric and a radical hash table design exploit probabilistic effects and allow distinct image features to be preferred over redundant ones, allowing only the more distinctive data points to remain resident within the index, yielding a lean index that can be quickly used in the identification process.
Type:
Grant
Filed:
February 10, 2015
Date of Patent:
September 1, 2015
Assignee:
Geenee UG
Inventors:
Philipp Holzschneider, Thorsten Otto Wolfgang Magers, Hannes Priehn