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1. 发明公开

EP3238137A1 REPRESENTATION SEMANTIQUE DU CONTENU D'UNE IMAGE 有权
标题翻译：表示SEMANTIQUE DU CONTENU D'UNE图像
公开(公告)号：EP3238137A1
公开(公告)日：2017-11-01
申请号：EP15801869.7
申请日：2015-12-01
申请人： Commissariat à l'Énergie Atomique et aux Énergies Alternatives
发明人： POPESCU, Adrian , BALLAS, Nicolas , GINSCA, Alexandru Lucian , LE BORGNE, Hervé
IPC分类号： G06K9/62 , G06F17/30
CPC分类号： G06K9/00456 , G06F17/30256 , G06F17/30271 , G06K9/62 , G06K9/726 , G06N99/005
摘要： The invention discloses a method implemented by computer for semantically describing the content of an image comprising the steps consisting of receiving a signature associated with said image; receiving a plurality of groups of initial visual concepts; the method being characterised by the steps consisting of expressing the signature of the image in the form of a vector comprising components referring to the groups of initial visual concepts; and modifying said signature by applying a filtering rule that is applied to the components of said vector. Developments describe, in particular, filtering rules that involve filtering by thresholds and/or by intra-group or inter-group order statistics, partitioning techniques including the visual similarity of the images and/or the semantic similarity of the concepts, and the optional addition of manual annotations to the semantic description of the image. The advantages of the method in terms of sparse and diversified semantic representation are presented.
摘要翻译：本发明公开了一种由计算机实现的用于语义描述图像内容的方法，包括以下步骤：接收与所述图像相关联的签名; 接收多组初始视觉概念; 该方法的特征在于以下步骤：以向量形式表示图像的签名，该向量包括涉及初始视觉概念组的组件; 以及通过应用应用于所述向量的分量的过滤规则来修改所述签名。发展尤其描述了涉及通过阈值和/或通过组内或组间秩序统计过滤的过滤规则，包括图像的视觉相似性和/或概念的语义相似性的划分技术以及可选的添加手动注释到图像的语义描述。给出了该方法在稀疏和多样化语义表示方面的优势。

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