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公开(公告)号：US20120114248A1
公开(公告)日：2012-05-10
申请号：US12943805
申请日：2010-11-10
申请人： Linjun Yang , Qi Tian , Bingbing Ni
发明人： Linjun Yang , Qi Tian , Bingbing Ni
IPC分类号： G06K9/46
CPC分类号： G06F17/30256
摘要： A hierarchical sparse codebook allows efficient search and comparison of images in image retrieval. The hierarchical sparse codebook includes multiple levels and allows a gradual determination/classification of an image feature of an image into one or more groups or nodes by traversing the image feature through one or more paths to the one or more groups or nodes of the codebook. The image feature is compared with a subset of nodes at each level of the codebook, thereby reducing processing time.
摘要翻译： 分层稀疏码本允许图像检索中图像的有效搜索和比较。 分级稀疏码本包括多个级别，并且允许通过经由到码本的一个或多个组或节点的一个或多个路径遍历图像特征来将图像的图像特征逐渐确定/分类为一个或多个组或节点。 将图像特征与码本的每个级别的节点子集进行比较，从而减少处理时间。
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公开(公告)号：US20120109943A1
公开(公告)日：2012-05-03
申请号：US12938310
申请日：2010-11-02
申请人： Linjun Yang , Qi Tian , Bingbing Ni
发明人： Linjun Yang , Qi Tian , Bingbing Ni
IPC分类号： G06F17/30
CPC分类号： G06F17/30277 , G06F17/30017
摘要： Adaptive image retrieval image allows retrieval of images that are more likely to reflect a current trend of user preferences and/or interests, and therefore can provide relevant results to an image search. Adaptive image retrieval includes receiving image query log data from one or more clients, and updating a codebook of features based on the received query log data. The image query log data includes images that have been queried by the one or more clients within a predetermined period of time.
摘要翻译： 自适应图像检索图像允许检索更可能反映用户偏好和/或兴趣的当前趋势的图像，并且因此可以向图像搜索提供相关结果。 自适应图像检索包括从一个或多个客户端接收图像查询日志数据，以及基于接收到的查询日志数据更新特征码本。 图像查询日志数据包括在预定时间段内由一个或多个客户端查询的图像。
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公开(公告)号：US09317533B2
公开(公告)日：2016-04-19
申请号：US12938310
申请日：2010-11-02
申请人： Linjun Yang , Qi Tian , Bingbing Ni
发明人： Linjun Yang , Qi Tian , Bingbing Ni
CPC分类号： G06F17/30277 , G06F17/30017
摘要： Adaptive image retrieval image allows retrieval of images that are more likely to reflect a current trend of user preferences and/or interests, and therefore can provide relevant results to an image search. Adaptive image retrieval includes receiving image query log data from one or more clients, and updating a codebook of features based on the received query log data. The image query log data includes images that have been queried by the one or more clients within a predetermined period of time.
摘要翻译： 自适应图像检索图像允许检索更可能反映用户偏好和/或兴趣的当前趋势的图像，并且因此可以向图像搜索提供相关结果。 自适应图像检索包括从一个或多个客户端接收图像查询日志数据，以及基于接收到的查询日志数据更新特征码本。 图像查询日志数据包括在预定时间段内由一个或多个客户端查询的图像。
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公开(公告)号：US08463045B2
公开(公告)日：2013-06-11
申请号：US12943805
申请日：2010-11-10
申请人： Linjun Yang , Qi Tian , Bingbing Ni
发明人： Linjun Yang , Qi Tian , Bingbing Ni
CPC分类号： G06F17/30256
摘要： A hierarchical sparse codebook allows efficient search and comparison of images in image retrieval. The hierarchical sparse codebook includes multiple levels and allows a gradual determination/classification of an image feature of an image into one or more groups or nodes by traversing the image feature through one or more paths to the one or more groups or nodes of the codebook. The image feature is compared with a subset of nodes at each level of the codebook, thereby reducing processing time.
摘要翻译： 分层稀疏码本允许图像检索中图像的有效搜索和比较。 分级稀疏码本包括多个级别，并且允许通过经由到码本的一个或多个组或节点的一个或多个路径遍历图像特征来将图像的图像特征逐渐确定/分类为一个或多个组或节点。 将图像特征与码本的每个级别的节点子集进行比较，从而减少处理时间。
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公开(公告)号：US08875007B2
公开(公告)日：2014-10-28
申请号：US12941739
申请日：2010-11-08
申请人： Linjun Yang , Qi Tian
发明人： Linjun Yang , Qi Tian
CPC分类号： G06F17/30277 , G06F17/3028 , G06F17/30893
摘要： An ImageWiki architecture is used to generate an image-based web page for an image on the Web. An ImageWiki page may be created automatically or individually, by a user of the Web. Additionally, a user may revise existing ImageWiki pages to update a particular page or correct an incorrect or misleading previous entry. The ImageWiki application indexes images located on the Web. Once the images are indexed, the information related to the images is mined and extracted from various sources of web data. Finally, an ImageWiki page or web page is generated for each image. The resulting ImageWiki page contains the image as well as the aggregated information relating to the image.
摘要翻译： ImageWiki架构用于为Web上的图像生成基于图像的网页。 一个ImageWiki页面可以由Web的用户自动或单独创建。 此外，用户可以修改现有的ImageWiki页面以更新特定页面或更正错误或误导的上一个条目。 ImageWiki应用程序对Web上的图像进行索引。 一旦图像被索引，与图像相关的信息被挖掘并从各种数据来源提取。 最后，为每个图像生成一个ImageWiki页面或网页。 所得到的ImageWiki页面包含图像以及与图像相关的聚合信息。
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公开(公告)号：US20120117449A1
公开(公告)日：2012-05-10
申请号：US12941739
申请日：2010-11-08
申请人： Linjun Yang , Qi Tian
发明人： Linjun Yang , Qi Tian
IPC分类号： G06F17/00
CPC分类号： G06F17/30277 , G06F17/3028 , G06F17/30893
摘要： An ImageWiki architecture is used to generate an image-based web page for an image on the Web. An ImageWiki page may be created automatically or individually, by a user of the Web. Additionally, a user may revise existing ImageWiki pages to update a particular page or correct an incorrect or misleading previous entry. The ImageWiki application indexes images located on the Web. Once the images are indexed, the information related to the images is mined and extracted from various sources of web data. Finally, an ImageWiki page or web page is generated for each image. The resulting ImageWiki page contains the image as well as the aggregated information relating to the image.
摘要翻译： ImageWiki架构用于为Web上的图像生成基于图像的网页。 一个ImageWiki页面可以由Web的用户自动或单独创建。 此外，用户可以修改现有的ImageWiki页面以更新特定页面或更正错误或误导的上一个条目。 ImageWiki应用程序对Web上的图像进行索引。 一旦图像被索引，与图像相关的信息被挖掘并从各种数据来源提取。 最后，为每个图像生成一个ImageWiki页面或网页。 所得到的ImageWiki页面包含图像以及与图像相关的聚合信息。
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7.发明授权Method and system for generating an entirely well-focused image of a large three-dimensional scene 失效用于生成大型三维场景的完全关注焦点的图像的方法和系统公开(公告)号：US08331627B2
公开(公告)日：2012-12-11
申请号：US12680478
申请日：2008-09-26
申请人： Wei Xiong , Qi Tian , Joo Hwee Lim
发明人： Wei Xiong , Qi Tian , Joo Hwee Lim
CPC分类号： G06T5/50 , G06T3/4053 , G06T7/571 , G06T2207/10016 , G06T2207/10056
摘要： A method and system for generating an entirely well-focused image of a three-dimensional scene. The method comprises the steps of a) learning a prediction model including at least a focal depth probability density function (PDF), h(k), for all depth values k, from historical tiles of the scene; b) predicting the possible focal surfaces in subsequent tiles of the scene by applying the prediction model; c) for each value of k, examining h(k) such that if h(k) is below a first threshold, no image is acquired at the depth k′ for said one tile; and if h(k) is above or equal to a first threshold, one or more images are acquired in a depth range around said value of k for said one tile; and d) processing the acquired images to generate a pixel focus map for said one tile.
摘要翻译： 一种用于产生三维场景的完全良好聚焦图像的方法和系统。 该方法包括以下步骤：a）从场景的历史瓦片学习至少包括所有深度值k的焦点深度概率密度函数（PDF），h（k）的预测模型; b）通过应用预测模型预测场景的后续瓦片中的可能焦点面; c）对于k的每个值，检查h（k），使得如果h（k）低于第一阈值，则在所述一个瓦片的深度k'处不获取图像; 并且如果h（k）高于或等于第一阈值，则在所述一个瓦片的k值周围的深度范围内获取一个或多个图像; 以及d）处理所获取的图像以生成所述一个瓦片的像素焦点图。
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公开(公告)号：US20100005485A1
公开(公告)日：2010-01-07
申请号：US12158012
申请日：2005-12-19
申请人： Qi Tian , Lingyu Duan , Changsheng Xu , Kongwah Wan , Joo Hwee Lim , Xin Guo Yu
发明人： Qi Tian , Lingyu Duan , Changsheng Xu , Kongwah Wan , Joo Hwee Lim , Xin Guo Yu
CPC分类号： G06K9/00711 , G06F16/739 , G06F16/7834 , G06F16/7844 , G06F16/785 , G06F16/786 , G06K9/6293 , G11B27/034 , G11B27/28
摘要： A method of annotating footage that includes a structured text broadcast stream, a video stream and an audio stream, the method includes the steps of: extracting directly or indirectly one or more keywords and/or features from at least said structured text broadcast streams, temporally annotating said footage with said keywords and/or features analysing temporally adjacent annotated keywords and/or features to determine information about one or more events within said footage. Also provided are: a data store for storing video footage, a method of generation of a personalised video summary, a system for annotating footage and a system for generation of a personalised video summary.
摘要翻译： 一种注释包括结构化文本广播流，视频流和音频流的素材的方法，所述方法包括以下步骤：从至少所述结构化文本广播流直接地或间接地提取一个或多个关键词和/或特征， 用所述关键词和/或分析时间上相邻的注释关键词和/或特征的所述素材来注释所述素材，以确定关于所述素材内的一个或多个事件的信息。 还提供了：用于存储视频素材的数据存储器，生成个性化视频摘要的方法，用于注释镜头的系统和用于生成个性化视频摘要的系统。
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公开(公告)号：US20080193016A1
公开(公告)日：2008-08-14
申请号：US10588588
申请日：2005-02-07
申请人： Joo Hwee Lim , Changsheng Xu , Kong Wah Wan , Qi Tian , Yu-Lin Kang
发明人： Joo Hwee Lim , Changsheng Xu , Kong Wah Wan , Qi Tian , Yu-Lin Kang
IPC分类号： G06K9/46
CPC分类号： G06K9/00711 , G06F16/7834 , G06F16/7847
摘要： A method for use in indexing video footage, the video footage comprising an image signal and a corresponding audio signal relating to the image signals, the method comprising extracting audio features from the audio signal of the video footage and visual features from the image signal of the video footage; comparing the extracted audio and visual features with predetermined audio and visual keywords; identifying the audio and visual keywords associated with the video footage based on the comparison of the extracted video and visual features with the predetermine audio and visual keywords; and determining the presence of events in the video footage based on the audio and visual keywords associated with the video footage.
摘要翻译： 一种用于索引视频镜头的方法，包括图像信号的视频画面和与图像信号相关的对应音频信号，该方法包括从视频素材的音频信号和视觉特征中提取音频特征， 录像带 将所提取的音频和视觉特征与预定的音频和视觉关键词进行比较; 基于提取的视频和视觉特征与预定的音频和视觉关键词的比较来识别与视频素材相关联的音频和视觉关键词; 以及基于与视频素材相关联的音频和视觉关键词来确定视频素材中的事件的存在。
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10.发明申请Apparatus and method for selecting key frames of clear faces through a sequence of images 审中-公开通过一系列图像来选择清晰面的关键帧的装置和方法公开(公告)号：US20050008198A1
公开(公告)日：2005-01-13
申请号：US10488929
申请日：2001-09-14
申请人： Chun Guo , Ruowei Zhou , Qi Tian
发明人： Chun Guo , Ruowei Zhou , Qi Tian
CPC分类号： G06K9/00261 , G06K9/00228 , G06K9/00711 , G06K9/036 , G11B27/28 , G11B2220/90 , H04N7/188
摘要： A system for determining a key frame of an image sequence wherein the key frame includes the clearest image of the face of a person from the image sequence, the system included an image input means for receiving the image sequence of the person and a processing means for identifying the face of the person in each frame of the image sequence and then determining which frame is the clearest image of the persons face.
摘要翻译： 一种用于确定图像序列的关键帧的系统，其中所述关键帧包括来自所述图像序列的人的脸部的最清晰的图像，所述系统包括用于接收所述人的图像序列的图像输入装置和用于 识别图像序列的每个帧中的人的脸部，然后确定哪个帧是人脸的最清晰的图像。
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