Methods and systems for social relation identification

A social relationship and relationship technology, applied in neural learning methods, character and pattern recognition, acquisition/recognition of facial features, etc., can solve problems such as no training data set, no subtitle social relationship difficulties, etc.

Active Publication Date: 2018-02-23
BEIJING SENSETIME TECH DEV CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, it is difficult to delineate uncaptioned social relationships from face images: (1) As shown in psychological studies, the relationships of face images are correlated with high-level face factors
A rich face representation that captures various attributes such as expression and head pose is required; (2) there is currently no single training dataset available that covers all face attribute annotations needed to learn such a rich representation

Method used

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  • Methods and systems for social relation identification
  • Methods and systems for social relation identification
  • Methods and systems for social relation identification

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Embodiment Construction

[0022] Reference will now be made in detail to certain embodiments of the invention, including the best modes contemplated by the inventors for carrying out the invention. Examples of such specific embodiments are shown in the accompanying drawings. While the invention has been described in conjunction with these specific embodiments, it will be understood that it is not intended to limit the invention to the described embodiments. On the contrary, it is intended to cover alternatives, modifications and equivalents, which may be included within the spirit and scope of the invention as defined by the appended claims. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. The present invention may be practiced without some or all of these specific details. In other instances, well known process operations have not been described in detail so as not to unnecessarily obscure the present inventi...

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Abstract

Disclosed is a method for identifying social relation of persons in an image, comprising : generating face regions for faces of the persons in the image; determining at least one spatial cue for eachof the faces; extracting features related to social relation for each face from the face regions; determining a shared facial feature from the extracted features and the determined spatial cue, the determined feature being shared by multiple the social relation inferences; and predicting the social relation of the persons from the shared facial feature.

Description

technical field [0001] The present application relates to social relationship recognition, and in particular, to a method and system for social relationships (eg, warmth, friendliness, and dominance between two or more people) of people in images. Background technique [0002] Social ties indicate when relationships between people are established, interacted, or deepened. Videos are becoming a mainstream medium for sharing information, capturing individuals with diverse social relationships. Unlike traditional text-based media, effective use of such rich social sources can provide social facts. Such capabilities bode well for a wide range of applications. For example, automatic social relationship inference allows relationships to be mined from image collections in social networks, personal photo albums, and movies. [0003] Social relationship characteristics or social relationships defined in this application are based on the human circle proposed by Kiesler, where huma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06N3/084G06V40/174G06V20/30G06V10/454G06V10/82G06V30/19173G06N3/045G06V40/169G06V40/172G06F18/24137
Inventor 汤晓鸥张展鹏罗平吕健勤
Owner BEIJING SENSETIME TECH DEV CO LTD
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