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Image needs in the context of image use: An exploratory study

机译:图像使用中的图像需求:探索性研究

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As a way of understanding the image needs of users, researchers in the image retrieval field have investigated contextual factors affecting image needs and search behaviours. In terms of both general users' groups and non-domain-specific collections on the web, the purpose of this study is to investigate how image needs are interwoven with intended uses which are in varying degrees of image use purposes. Thus, the image-seeking questions posted in a social Q&A service were analysed for their content. The findings of this study indicate that image uses as sources of objects are found more frequently than image uses as sources of data. Moreover, in order to analyse a more detailed underlying structure of image needs and uses, image attributes were examined in terms of three categories including semantics (e.g. ofness and aboutness), non-visual features (e.g. bibliographic information) and syntactic features (e.g. focal point). This study indicates that abstract attributes and specific attributes were distinctively recognized depending on image uses, even though proportion generic attributes were found more frequently. Users are likely to seek images using abstract attributes when they intend to use images as sources of object and specific attributes when using the images as sources of data. More importantly, among the contextual attributes, a similarity component was found to be a universal attribute that was used in all seven image uses, while the attributes in the non-visual and syntactic categories were not frequently used. The findings of this study can be applied to image retrieval systems in terms of improving image indexing practices and expanding search interfaces.
机译:为了理解用户的图像需求,图像检索领域的研究人员已经研究了影响图像需求和搜索行为的上下文因素。从普通用户组和网络上非特定于域的收藏的角度来看,本研究的目的是研究如何将图像需求与不同程度的图像使用目的的预期用途交织在一起。因此,分析了在社交问答服务中发布的寻求图像的问题的内容。这项研究的结果表明,与将图像用作数据源相比,更经常地将图像用作对象源。此外,为了分析图像需求和使用的更详细的基础结构,从三个类别对图像属性进行了检查,包括语义(例如,存在与否),非视觉特征(例如,书目信息)和句法特征(例如,焦点)。点)。这项研究表明,即使比例通用属性被发现的频率更高,抽象属性和特定属性还是可以根据图像用途而被区别地识别出来的。当用户打算将图像用作对象的源时,用户可能会使用抽象属性来寻找图像,而当将图像用作数据源时,用户可能会使用特定属性。更重要的是,在上下文属性中,发现相似性成分是在所有七个图像使用中都使用的通用属性,而非视觉和句法类别中的属性却很少使用。这项研究的结果可以应用于图像检索系统,以改善图像索引实践并扩展搜索界面。

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