METHODS, SYSTEMS, ARTICLES OF MANUFACTURE, AND APPARATUS FOR IMAGE RECOGNITION BASED ON VISUAL AND TEXTUAL INFORMATION

METHODS, SYSTEMS, ARTICLES OF MANUFACTURE, AND APPARATUS FOR IMAGE RECOGNITION BASED ON VISUAL AND TEXTUAL INFORMATION

Systems, apparatus, articles of manufacture, and methods are disclosed that recognize products using visual and textual information. An example apparatus includes classification circuitry to classify object facings detected in a shelf image to determine object candidates corresponding to a first obj...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Delgado del Hoyo, Francisco Javier, Tovar Velasco, Javier, Hurtado, Antonio
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:Systems, apparatus, articles of manufacture, and methods are disclosed that recognize products using visual and textual information. An example apparatus includes classification circuitry to classify object facings detected in a shelf image to determine object candidates corresponding to a first object, ones of the object candidates to include a respective image-based metric; cluster circuitry to assign words extracted from the shelf image to the first object; rank adjuster circuitry to generate text-based metrics for the object candidates by comparing respective object characteristics of the object candidates to the words, ones of the text-based metrics corresponding to respective ones of the object candidates; and prediction circuitry to determine final metrics for the object candidates by selecting, for the ones of the object candidates, (a) a respective image-based metric or (b) a combination of the respective image-based metric and a respective text-based metric; and rank the object candidates using the final metrics.