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首页> 外文期刊>電子情報通信学会技術研究報告. パターン認識·メディア理解. Pattern Recognition and Media Understanding >Extraction of image similarity by clustering of word vectors made from attached text and its evaluation
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Extraction of image similarity by clustering of word vectors made from attached text and its evaluation

机译:通过附加文本和评价中的单词矢量集群提取图像相似度

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摘要

This paper proposes a method to determine a similarity measure between images by using texts which are attached to images. A text is transformed a word vector. A clustering algorithm is applied to both a set of word vector and a set of vectors made from images independently. Then each pair data of image and text makes a linkage between clusters of two kinds. The proposed similarity is defied in a circle across clusters of two kinds by through of partition of image. Entry of a single image or text into the circle realizes an image retrieval.
机译:本文提出了一种通过使用附加到图像的文本来确定图像之间的相似性度量的方法。 文本被转换为单词矢量。 将聚类算法应用于一组文字矢量和由图像独立地制成的一组矢量。 然后,图像和文本的每对数据都会在两种簇之间的链接。 通过图像分区,所提出的相似性在跨越两种簇的圆形中定义。 在圆圈中输入单个图像或文本意识到图像检索。

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