WO2023147764 - SYSTEMS, METHODS, AND MEDIA FOR MAIN GROUP IDENTIFICATION IN IMAGES VIA SOCIAL RELATION RECOGNITION

National phase entry is expected:
Publication Number WO/2023/147764
Publication Date 10.08.2023
International Application No. PCT/CN2023/073554
International Filing Date 28.01.2023
Title **
[English] SYSTEMS, METHODS, AND MEDIA FOR MAIN GROUP IDENTIFICATION IN IMAGES VIA SOCIAL RELATION RECOGNITION
[French] SYSTÈMES, PROCÉDÉS ET SUPPORTS D'IDENTIFICATION DE GROUPE PRINCIPAL DANS DES IMAGES PAR RECONNAISSANCE DE RELATION SOCIALE
Applicants **
HUAWEI TECHNOLOGIES CO., LTD.
Inventors
LU, Minlong
CANNONS, Kevin James
XU, Zhan
Priority Data
17/592,790   04.02.2022   US
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Quotation for National Phase entry

Country StagesTotal
China Filing, Examination, Granting2052
EPO Filing, Examination, Granting14836
Japan Filing, Examination, Granting2327
South Korea Filing, Examination, Granting2432
USA Filing, Examination, Granting4740
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Total: 26,387

The term for entry into the National Phase has expired. This quotation is for informational purposes only

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Abstract[English] Systems, methods, and computer-readable media for identifying a main group of people in an image via social relation recognition. The main group of people is identified within an image by identifying social relationships between people visible in the image. The identification of social relationships is performed by a Social Relation Recognition Network (SRRN) trained using deep learning. The SRRN combines two techniques for group identification, First Glance and Graph Reasoning, and fuses their outputs to generate a prediction of group membership. A group refinement module improves and filters the group membership after identification of an initial main group.[French] La présente invention concerne des systèmes, des procédés et des supports lisibles par ordinateur permettant d'identifier un groupe principal de personnes dans une image par l'intermédiaire d'une reconnaissance de relation sociale. Le groupe principal de personnes est identifié dans une image par identification de relations sociales entre des personnes visibles dans l'image. L'identification de relations sociales est effectuée par un réseau de reconnaissance de relations sociales (SRRN) entraîné à l'aide d'un apprentissage profond. Le SRRN combine deux techniques d'identification de groupe, premier coup d'œil et raisonnement de graphe, et fusionne leurs résultats pour générer une prédiction d'appartenance à un groupe. Un module d'affinement de groupe améliore et filtre l'appartenance à un groupe après l'identification d'un groupe principal initial.

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