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    • 31. 发明申请
    • RETRIEVING AND SHARING ELECTRONIC DOCUMENTS USING PAPER
    • 使用纸张检索和共享电子文档
    • US20100030778A1
    • 2010-02-04
    • US12184124
    • 2008-07-31
    • Qiong LiuPatrick ChiuLynn D. Wilcox
    • Qiong LiuPatrick ChiuLynn D. Wilcox
    • G06F17/30
    • G06F17/30011G06F17/30247G06K9/00442G06K9/4676G06K2209/01
    • In an embodiment of the invention, an electronic document (e-document) can be searched and found by capturing an image of the printed document. Instead of typing in a file name or searching through multiple directories, the user simply takes a picture of the document with a camera and the system uses the document image to locate the e-document. In an alternative embodiment of the invention, an image of a printed document can be useful for remote document sharing. In various embodiments of the invention, sharing an image of a printed document can be used to email a high quality paper document, send a high quality fax, or open a document to a page containing an annotation. Through co-design of the feature extraction and search algorithm in the system, the image feature detection robustness and search speed are improved at the same time.
    • 在本发明的实施例中,可以通过捕获打印文档的图像来搜索和发现电子文档(电子文档)。 用户只需使用相机对文档进行照片,而不是输入文件名或搜索多个目录,系统会使用文档图像来定位电子文档。 在本发明的替代实施例中,打印文档的图像可用于远程文档共享。 在本发明的各种实施例中,共享打印文档的图像可以用于向高质量的纸质文档发送高质量的传真,或者向包含注释的页面打开文档。 通过系统中特征提取和搜索算法的共同设计,同时提高了图像特征检测的鲁棒性和搜索速度。
    • 33. 发明授权
    • Automated video production system and method using expert video production rules for online publishing of lectures
    • 自动视频制作系统和方法,使用专家视频制作规则进行在线发布演讲
    • US07349005B2
    • 2008-03-25
    • US09681835
    • 2001-06-14
    • Yong RuiAnoop GuptaQiong Liu
    • Yong RuiAnoop GuptaQiong Liu
    • H04N7/14
    • H04N7/188H04N7/181
    • An automated system and method for producing videos using expert video production rules. The automated video production system and method of the present invention is particularly well-suited for the online publishing of lectures. The system of the present invention includes a camera system for capturing the lecture, such as an audience-tracking camera and a non-intrusive lecturer-tracking camera. Moreover, each camera may be controlled by a cinematographer. Tracking of a subject is performed using a history-based, reduced-motion tracker that sets up a camera shot based on the subject's movement history and leaves the shot fixed until the camera is switched. The system also includes a virtual director module having a probabilistic finite state machine (FSM) module that uses probabilistic rules and the expert video production rules to determine a current camera view.
    • 一种使用专业视频制作规则制作视频的自动化系统和方法。 本发明的自动化视频制作系统和方法特别适用于在线出版讲座。 本发明的系统包括用于捕获演讲的相机系统,诸如观众跟踪相机和非侵入式讲师跟踪相机。 此外,每个摄像机可以由摄影机控制。 使用基于历史的减少运动的跟踪器来执行对象的跟踪,该跟踪器基于被摄体的移动历史设置拍摄的照相机,并将照片固定,直到相机切换为止。 该系统还包括具有概率有限状态机(FSM)模块的虚拟导向器模块,该模块使用概率规则和专家视频制作规则来确定当前的摄像机视图。
    • 34. 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。
    • 38. 发明授权
    • Descriptor for image corresponding point matching
    • 图像对应点匹配的描述符
    • US08363973B2
    • 2013-01-29
    • US12566580
    • 2009-09-24
    • Qiong LiuHironori Yano
    • Qiong LiuHironori Yano
    • G06K9/00
    • G06K9/4671
    • System and method of generating feature descriptors for image identification. Input image is Gaussian-blurred at different scales. A difference of Gaussian space is obtained from differences of adjacent Gaussian-blurred images. Key points are identified in the difference-of-Gaussian space. For each key point, primary sampling points are defined with three dimensional relative positions from key point and reaching into planes of different scales. Secondary sampling points are identified for each primary sampling point. Secondary image gradients are obtained between an image at a primary sampling point and images at secondary sampling points corresponding to this primary sampling point. Secondary image gradients form components of primary image gradients at primary sampling points. Primary image gradients are concatenated to obtain a descriptor vector for input image. Descriptor vector thus obtained is scale invariant and requires a number of additions equal to number of primary sampling points multiplied by a number of secondary sampling points.
    • 生成图像识别特征描述符的系统和方法。 输入图像是不同尺度的高斯模糊。 从相邻高斯模糊图像的差异获得高斯空间的差异。 关键点在高斯差异空间中被识别。 对于每个关键点,主要采样点被定义为从关键点到达不同尺度平面的三维相对位置。 为每个主要采样点识别二次采样点。 在主要采样点的图像与对应于该主要采样点的二次采样点的图像之间获得二次图像梯度。 次要图像梯度在主要采样点形成原始图像梯度的分量。 连接主图像梯度以获得输入图像的描述符向量。 如此获得的描述符向量是不变尺度,并且需要等于一次采样点的数量乘以二次采样点数的多个加法。
    • 40. 发明授权
    • Retrieving and sharing electronic documents using paper
    • 使用纸张检索和分享电子文件
    • US08139860B2
    • 2012-03-20
    • US12184124
    • 2008-07-31
    • Qiong LiuPatrick ChiuLynn D. Wilcox
    • Qiong LiuPatrick ChiuLynn D. Wilcox
    • G06K9/34
    • G06F17/30011G06F17/30247G06K9/00442G06K9/4676G06K2209/01
    • In an embodiment of the invention, an electronic document (e-document) can be searched and found by capturing an image of the printed document. Instead of typing in a file name or searching through multiple directories, the user simply takes a picture of the document with a camera and the system uses the document image to locate the e-document. In an alternative embodiment of the invention, an image of a printed document can be useful for remote document sharing. In various embodiments of the invention, sharing an image of a printed document can be used to email a high quality paper document, send a high quality fax, or open a document to a page containing an annotation. Through co-design of the feature extraction and search algorithm in the system, the image feature detection robustness and search speed are improved at the same time.
    • 在本发明的实施例中,可以通过捕获打印文档的图像来搜索和发现电子文档(电子文档)。 用户只需使用相机对文档进行照片,而不是输入文件名或搜索多个目录,系统会使用文档图像来定位电子文档。 在本发明的替代实施例中,打印文档的图像可用于远程文档共享。 在本发明的各种实施例中,共享打印文档的图像可以用于向高质量的纸质文档发送高质量的传真,或者向包含注释的页面打开文档。 通过系统中特征提取和搜索算法的共同设计,同时提高了图像特征检测的鲁棒性和搜索速度。