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    • 1. 发明授权
    • Multi-way and multi-thread conversation system
    • 多线程和多线程会话系统
    • US09275476B1
    • 2016-03-01
    • US13534887
    • 2012-06-27
    • Tom KillaleaHanning Zhou
    • Tom KillaleaHanning Zhou
    • G09G5/00G06T11/00G06F3/14
    • G06T11/001G06F3/14G06F3/1454G06Q10/101G06Q30/00G09G5/14
    • A conversation management module receives user selections of sections in a digital media item from one or more users. The conversation management module also receives one or more comments associated with the selected sections. The conversation management module displays or provides conversation windows in a first portion of an interface, where each window associated with a selected section and displays comments associated with the selected section in the corresponding conversation window. The conversation management module also provides a list of users in a second portion of the interface and a list of keywords which appear in the comments in a third portion of the interface.
    • 会话管理模块从一个或多个用户接收数字媒体项目中的节目的用户选择。 会话管理模块还接收与所选择的部分相关联的一个或多个注释。 会话管理模块在接口的第一部分中显示或提供对话窗口,其中每个窗口与所选择的部分相关联,并且在对应的会话窗口中显示与所选择的部分相关联的注释。 会话管理模块还提供接口的第二部分中的用户列表以及出现在界面的第三部分中的注释中的关键字列表。
    • 2. 发明授权
    • Unusual event detection via collaborative video mining
    • 通过协作视频挖掘异常事件检测
    • US08009193B2
    • 2011-08-30
    • US11446893
    • 2006-06-05
    • Hanning ZhouDon KimberLynn Wilcox
    • Hanning ZhouDon KimberLynn Wilcox
    • H04N7/12
    • G06K9/00771G06K9/6218
    • Embodiments of the present invention describe a collaborative framework for mining of surveillance videos to detect abnormal events, which introduces a two-stage training process to alleviate the high false alarm problem. In the first stage, unsupervised clustering is performed on the segments of the video streams and a set of abnormal events are combined with user feedback to generate a clean training set. In the second stage, the clean training set is used to train a more precise model for the analysis of normal events and the motion detection results from multiple cameras can be cross validated and combined. This description is not intended to be a complete description of, or limit the scope of, the invention. Other features, aspects, and objects of the invention can be obtained from a review of the specification, the figures, and the claims.
    • 本发明的实施例描述了用于检测异常事件的监视视频挖掘的协同框架,其引入了两阶段训练过程以减轻高错误警报问题。 在第一阶段,对视频流的片段执行无监督的聚类,并且将一组异常事件与用户反馈相结合以产生干净的训练集。 在第二阶段,清洁训练集用于训练更准确的模型,用于分析正常事件,并且可以交叉验证并组合来自多个摄像机的运动检测结果。 本说明书不是对本发明的完整描述或限制本发明的范围。 本发明的其它特征,方面和目的可以通过对说明书,附图和权利要求的评述来获得。
    • 7. 发明授权
    • Processing a digital image of content using content aware despeckling
    • 使用内容感知解散处理内容的数字图像
    • US08548267B1
    • 2013-10-01
    • US11864187
    • 2007-09-28
    • Sherif M. YacoubJian LiangHanning Zhou
    • Sherif M. YacoubJian LiangHanning Zhou
    • G06K9/40G06K9/34H04N1/00
    • H04N1/40G06K9/00463G06T5/002G06T2207/10008H04N1/60
    • Systems and methods for removing artifacts from a page of digital image are presented. More particularly, a digital image is obtained, the digital image having at least one page of content to be processed. A content bounding box is determined for the content of the page. Additionally, a set of segments is generating, the set corresponding to particular areas of the content within the content bounding box, each area associated with a type of content. For each segment of the set of segments, the following are performed. Despeckling criteria are selected for identifying artifacts according to the type associated with the segment. Artifacts are identified in the segment according to the despeckling criteria. The identified artifacts are then removed from the page. Thereafter, the updated digital image is stored in a content store.
    • 提出了从数字图像页面中去除伪影的系统和方法。 更具体地,获得数字图像,数字图像具有要处理的内容的至少一页。 确定页面内容的内容边界框。 此外,生成一组段,该集合对应于内容边界框内的内容的特定区域,每个区域与内容的类型相关联。 对于该段段的每个段,执行以下操作。 根据与段相关联的类型,选择去斑标准用于识别伪像。 人工制品根据脱毛标准在片段中确定。 然后从页面中删除已识别的工件。 此后,将更新的数字图像存储在内容存储器中。
    • 10. 发明授权
    • Processing a digital image of content to remove border artifacts
    • 处理内容的数字图像以删除边框伪像
    • US08731297B1
    • 2014-05-20
    • US11864180
    • 2007-09-28
    • Hanning ZhouJian LiangSherif M. Yacoub
    • Hanning ZhouJian LiangSherif M. Yacoub
    • G06K9/34
    • G06K9/36G06T5/002
    • Systems and methods for removing border objects from a page of digital image are presented. More particularly, in removing border objects from a page of a digital image, the following are performed. In the first place, a digital image having at least one page of content is obtained. A content area of content on the page is determined. Border objects in the region between the page margin and the content area are then located. For each located border object, the following two steps are performed. The located border object is evaluated according to a set of border criteria, and the located border object is removed if the evaluation of the border object indicates that the border object is to be removed. Thereafter, the updated digital image is stored in a content store.
    • 介绍了从数字图像页面中删除边界对象的系统和方法。 更具体地,在从数字图像的页面中移除边框对象时,执行以下操作。 首先,获得具有至少一页内容的数字图像。 确定页面上的内容的内容区域。 然后位于页边距和内容区域之间的区域中的边框对象。 对于每个定位的边框对象,执行以下两个步骤。 根据一组边框条件评估定位的边框对象,如果边框对象的评估指示要删除边框对象,则将移除所定位的边框对象。 此后,将更新的数字图像存储在内容存储器中。