首页> 外文期刊>Image and Vision Computing >Query by low-quality image
【24h】

Query by low-quality image

机译:通过低质量图像查询

获取原文
获取原文并翻译 | 示例
           

摘要

The motivation for research on low-quality images comes from a requirement by some museums to respond to queries for pictorial information, submitted in the form of fax messages or other low-quality monochrome images of works of art. The museums have databases of high-resolution images of their artefact collections and the person submitting the query is asking typically whether the museum holds the artwork shown or perhaps some similar work. Often the query image will have no associated metadata and will be produced from a low-resolution picture of the original artwork. The resulting poor quality image, received by the museum, leads to very poor retrieval accuracy when the fax is used in standard query by example searches using, for example, colour, spatial colour or texture matching algorithms. We propose a special retrieval algorithm in order to improve the retrieval accuracy in query by low-quality image application and evaluate it in comparison with more conventional algorithms. Throughout this paper, fax images will be used as the main source of low-quality image for query by low-quality image experiments. Nonetheless, some other forms of low-quality image will also be considered.
机译:研究低质量图像的动机来自一些博物馆的要求,即对以传真消息或其他低质量单色艺术品图像形式提交的对图片信息的查询做出回应。博物馆拥有其文物收藏的高分辨率图像数据库,提交查询的人员通常会询问博物馆是否持有所展示的艺术品或某些类似的作品。通常,查询图像将没有关联的元数据,并且将由原始图稿的低分辨率图片生成。当通过标准的查询(例如使用颜色,空间颜色或纹理匹配算法)进行标准查询中使用传真时,博物馆接收到的结果质量差的图像导致检索精度非常差。我们提出了一种特殊的检索算法,以通过低质量的图像应用提高查询的检索精度,并与传统算法进行比较。在整个本文中,传真图像将用作低质量图像的主要来源,以供低质量图像实验查询。但是,还将考虑其他形式的低质量图像。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号