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    • 64. 发明申请
    • Interactive techniques for organizing and retreiving thumbnails and notes on large displays
    • 在大型显示器上组织和撤回缩略图和笔记的互动技术
    • US20070271524A1
    • 2007-11-22
    • US11437561
    • 2006-05-19
    • Patrick ChiuXiaohua SunJeffrey HuangMaribeth Joy BackWolfgang H. Polak
    • Patrick ChiuXiaohua SunJeffrey HuangMaribeth Joy BackWolfgang H. Polak
    • G06F3/048
    • G06F17/30058G06F3/0481
    • The present invention relates to techniques for supporting organizational, labeling and retrieval tasks on an electronic tabletop, wall or large display. In various embodiments of the invention, a dynamic visualization is used to show a current working set of documents. In an embodiment of the invention, the rest of the collection is represented in the background as small dots. In an embodiment of the invention, when a user moves objects into groups or creates a label, relevant objects in the background are automatically retrieved and moved into the foreground. In an embodiment of the invention, retrieved objects along with relevant objects in the current set are highlighted and decorated with arrows pointing to their relevant groups. In an embodiment of the invention, the movement is animated to provide user feedback when objects must travel long distances on a large display.
    • 本发明涉及用于在电子桌面,墙壁或大型显示器上支持组织,标签和检索任务的技术。 在本发明的各种实施例中,使用动态可视化来显示文档的当前工作集合。 在本发明的一个实施例中,集合的其余部分在背景中被表示为小点。 在本发明的实施例中,当用户将对象移动到组或创建标签时,背景中的相关对象被自动检索并移动到前景中。 在本发明的一个实施例中,检索到的对象与当前集合中的相关对象被突出显示并用指向其相关组的箭头进行装饰。 在本发明的一个实施例中,当物体必须在大型显示器上行进长距离时,运动被动画化以提供用户反馈。
    • 69. 发明申请
    • Determining regions of interest in synthetic images
    • 确定合成图像中的感兴趣区域
    • US20060062456A1
    • 2006-03-23
    • US10948823
    • 2004-09-23
    • Patrick ChiuQiong LiuAndreas Girgensohn
    • Patrick ChiuQiong LiuAndreas Girgensohn
    • G06K9/34G06K9/46
    • G06K9/3233
    • An algorithm for finding regions of interest (ROI) in synthetic images based on an information driven approach in which sub-blocks of a set of synthetic image are analyzed for information content or compressibility based on textural and color features. A DCT may be used to analyze the textural features of a set of images and a color histogram may be used to analyze the color features of the set of images. Sub-blocks of low compressibility are grouped into ROIs using a type of morphological technique. Unlike other algorithms that are geared for highly specific types of ROI (e.g. OCR text detection), the method of the present invention is generally applicable to arbitrary synthetic images. The present invention can be used with several other image applications, including Stained-Glass collages presentations.
    • 一种基于信息驱动方法在合成图像中发现感兴趣区域(ROI)的算法,其中基于纹理和颜色特征分析一组合成图像的子块的信息内容或可压缩性。 可以使用DCT来分析一组图像的纹理特征,并且可以使用颜色直方图来分析该组图像的颜色特征。 使用一种形态学技术将低压缩性的子块分组成ROI。 与专门针对高度特定类型的ROI(例如OCR文本检测)的其他算法不同,本发明的方法通常适用于任意合成图像。 本发明可以与数种其它图像应用一起使用,包括彩色玻璃拼贴画展示。