图像的语义关联与图像索引

Semantic Association of Image and Image Index

基于内容图像检索的主要挑战在于不断变化的图像检索要求、难于表达的图像内容以及图像表达的数字阵列与通常可以被人类所接受的概念化内容之间的语义鸿沟。提出了一个基于语义关联的图像检索方法,在语义关联的基础上形成一个场景类别的语义表达,以便用户可以将感知上相似的图像组织在一起,形成概念上下文,使得用户可以解释和标记图像而无需给出图像的概念描述。此外,提出了一种图像的神经索引方法,可以加速和导引图像或图像块的探测。

The challenges to content based image retrieve（CBIR） are various image retrieval requirements as well as the complex and hard described image content,and the gap between the digital array of image expression and the conceptual information universally accepted by human being.In this paper,a semantic association based image retrieve is proposed.Based on semantic association, a semantic representation for a scenic category is formed so that users can organize the similar images in perception together to form perceptional context and from which users can explain and mark images without need to give the connotation description for images.In addition,a kind of image neuron index method is proposed,which can speed up and guide the image or image block detection.