【24h】

Context-Oriented Image Retrieval

机译:面向上下文的图像检索

获取原文
获取原文并翻译 | 示例

摘要

In order to help address problems of information overload in digital imagery task domains, we have developed an interactive approach to the capture and reuse of image context information. Our framework models different aspects of the relationship between images and the domain tasks that they support by monitoring the interactive manipulation and annotation of task-relevant imagery. In particular, a strong focus on task context serves to ground image annotations in domain specific goals. This contrasts with prevalent annotation schemes that focus on what individual images contain but that provide no context for which, if any, of those aspects are important to users. Our work attempts to leverage a measure of the user's intentions with regard to tasks that they address. We analyze human-computer interaction information that enables us to infer why image contents are important in a particular context and how specific images have been used to address particular domain goals.
机译:为了帮助解决数字图像任务域中信息过载的问题,我们开发了一种交互式方法来捕获和重用图像上下文信息。我们的框架通过监视与任务相关的图像的交互式操作和注释,对图像与其支持的领域任务之间关系的不同方面进行建模。特别是,对任务上下文的高度关注可以使特定领域目标中的图像注释成为可能。这与普遍的注释方案形成对比,后者的重点是单个图像所包含的内容,但不提供上下文(如果有的话)对用户很重要。我们的工作试图利用用户对他们要解决的任务的意图进行衡量。我们分析人机交互信息,使我们能够推断出图像内容在特定上下文中为何重要以及如何使用特定图像解决特定领域目标。

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