摘要
研究数字图像文献资源的组织结构是为了提高真实检索性能,需在用户发生检索行为之前架构好对图像语义信息的一系列组织技术。文章通过运用跨媒体数字艺术和语义智能新方法,结合语义描述、语义映射、数据特征提取和图像语言标注挖掘等技术提高图像检索的精准率,并利用跨媒体图像形态的分析,对跨媒体数字图像艺术建立起整体组织新技法,为用户进一步实现对图像精准高效的真实检索利用运行状态提供实验基础。
The purpose of studying the organization structure of digital image document resources is to improve the real retrieval performance, which needs to construct a series of organizational techniques for semantic information of images before the retrieval behavior of users. The paper achieves the accuracy of image retrieval by using new methods of Inter-media digital art and semantic intelligence, and combining with semantic description, semantic mapping, data feature extraction and image language annotation mining. Meanwhile, through the analysis of Inter-media image form, the paper establishes a new technique for the whole organization of Inter-media digital image art. The study of Inter-media art in libraries organizes a descriptive system framework for literature retrieval of artistic images, which provides an experimental basis for users to further realize accurate and efficient retrieval and utilization of images.
出处
《图书馆理论与实践》
CSSCI
2019年第1期79-83,共5页
Library Theory and Practice
基金
2015年度"下一个十年.三墩镇社会科学项目:信息媒体文化研究
"(项目编号:SD-SI20150018)研究成果之一
关键词
跨媒体艺术
跨媒体图像组织
图像情境真实检索
语义描述
Inter-Media Arts
Inter-Media Image Organization
Real Retrieval of Image Context
Semantic Description