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公开(公告)号：US20050249281A1
公开(公告)日：2005-11-10
申请号：US10939219
申请日：2004-09-10
Applicant: Hui Cheng
Inventor： Hui Cheng
CPC classification number: H04N21/64784 , H04N19/107 , H04N19/132 , H04N19/142 , H04N19/172 , H04N19/39 , H04N19/89 , H04N21/23439 , H04N21/2662 , H04N21/4383 , H04N21/4384 , H04N21/4621
Abstract: A method and apparatus for reducing the number of Intra-coded pictures (I-Picture) without any quality degradation. In one embodiment, the method takes advantage of characteristics of a heterogeneous network, such as Digital Subscription Line (DSL).
Abstract translation: 一种用于减少帧内编码图像（I图像）的数量而没有任何质量劣化的方法和装置。 在一个实施例中，该方法利用诸如数字订购线（DSL）的异构网络的特性。
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公开(公告)号：US20050200757A1
公开(公告)日：2005-09-15
申请号：US11042772
申请日：2005-01-24
Applicant: Alberta Pica , Hui Cheng , Tao Chen , Jeffery Lubin
Inventor： Alberta Pica , Hui Cheng , Tao Chen , Jeffery Lubin
IPC: H04N7/12
Abstract: A method and apparatus for reconstructing digital video is provided. In one embodiment, a method for transmitting an original video stream including at least one frame includes segmenting the frame into a plurality of regions, encoding each region in accordance with one of a plurality of available interpolation algorithms that provides minimal distortion the region, and providing a signal containing information that enables a decoder to identify the interpolation algorithms corresponding to each of the regions. This information enables a decoder to enhance a base layer video stream while minimizing the amount of information that must be provided to the decoder in order to perform the enhancement.
Abstract translation: 提供了一种重建数字视频的方法和装置。 在一个实施例中，用于发送包括至少一个帧的原始视频流的方法包括将帧分割成多个区域，根据提供该区域的最小失真的多个可用插值算法中的一个对每个区域进行编码，并且提供 包含能使解码器识别与每个区域对应的内插算法的信息的信号。 该信息使得解码器能够增强基本层视频流，同时最小化为了执行增强而必须提供给解码器的信息量。
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公开(公告)号：US09060172B2
公开(公告)日：2015-06-16
申请号：US11521830
申请日：2006-09-15
Applicant: Walter Paul , Arkady Kopansky , Hui Cheng
Inventor： Walter Paul , Arkady Kopansky , Hui Cheng
IPC: H04N7/12 , H04N19/36 , H04N19/105 , H04N19/147 , H04N19/60 , H04N19/154 , H04N19/19 , H04N19/59
CPC classification number: H04N19/36 , H04N19/105 , H04N19/147 , H04N19/154 , H04N19/19 , H04N19/59 , H04N19/60
Abstract: A method for encoding a frame of visual data which includes the steps of encoding an original full resolution frame, storing coded data for the encoded full resolution frame, reconstructing and storing encoded full resolution frame, downsampling the original full resolution frame to render it a reduced spatial resolution frame, encoding the reduced spatial resolution frame, storing coded data for the reduced spatial resolution frame, reconstructing and storing the reduced spatial resolution frame, upsampling and storing the reconstructed reduced spatial resolution frame, comparing a characteristic in the reconstructed full resolution frame with said characteristic in the original full resolution frame to determine the deviation of the reconstructed full resolution frame from the original full resolution frame with respect to said characteristic, comparing said characteristic in the upsampled reconstructed spatial reduced resolution frame with said characteristic in the original full resolution frame to determine the deviation of the upsampled reconstructed spatial reduced resolution frame from the original full resolution frame with respect to said characteristic, selecting the frame with the lesser deviation from the original full resolution frame with respect to said characteristic, and outputting the coded data corresponding to the frame with the lesser deviation from the original full resolution frame with respect to said characteristic to the bitstream.
Abstract translation: 一种用于编码视觉数据帧的方法，包括以下步骤：对原始全分辨率帧进行编码，存储编码全分辨率帧的编码数据，重建和存储编码全分辨率帧，对原始全分辨率帧进行下采样以使其减小 对缩小的空间分辨率帧进行编码，存储用于缩小的空间分辨率帧的编码数据，重建和存储缩小的空间分辨率帧，上采样和存储重构的缩小空间分辨率帧，将重建的全分辨率帧中的特征与 所述原始全分辨率帧的特征在于确定重建的全分辨率帧与原始全分辨率帧相对于所述特性的偏差，将上采样的重建空间缩小分辨率帧中的所述特征与原始全分辨率帧中的所述特征进行比较 确定相对于所述特征的上采样重构空间缩小分辨率帧与原始全分辨率帧的偏差，相对于所述特性选择与原始全分辨率帧相比偏离较小的帧，并输出编码数据 对应于与相对于所述特性到比特流的原始全分辨率帧的偏差较小的帧。
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公开(公告)号：US08995717B2
公开(公告)日：2015-03-31
申请号：US13597698
申请日：2012-08-29
Applicant: Hui Cheng , Jiangjian Xiao , Harpreet Sawhney
Inventor： Hui Cheng , Jiangjian Xiao , Harpreet Sawhney
CPC classification number: G06T7/20 , G06K9/00771 , G06K2009/3291
Abstract: A computer implemented method for deriving an attribute entity network (AEN) from video data is disclosed, comprising the steps of: extracting at least two entities from the video data; tracking the trajectories of the at least two entities to form at least two tracks; deriving at least one association between at least two entities by detecting at least one event involving the at least two entities, said detecting of at least one event being based on detecting at least one spatio-temporal motion correlation between the at least two entities; and constructing the AEN by creating a graph wherein the at least two objects form at least two nodes and the at least one association forms a link between the at least two nodes.
Abstract translation: 公开了一种用于从视频数据中导出属性实体网络（AEN）的计算机实现方法，包括以下步骤：从视频数据中提取至少两个实体; 跟踪所述至少两个实体的轨迹以形成至少两个轨道; 通过检测涉及所述至少两个实体的至少一个事件来导出至少两个实体之间的至少一个关联，所述至少一个事件的检测是基于检测所述至少两个实体之间的至少一个时空运动相关性; 以及通过创建图形来构建所述AEN，其中所述至少两个对象形成至少两个节点，并且所述至少一个关联形成所述至少两个节点之间的链接。
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公开(公告)号：US08294763B2
公开(公告)日：2012-10-23
申请号：US12271173
申请日：2008-11-14
Applicant: Hui Cheng , Jiangjian Xiao , Harpreet Sawhney
Inventor： Hui Cheng , Jiangjian Xiao , Harpreet Sawhney
IPC: H04N7/18
CPC classification number: G06T7/20 , G06K9/00771 , G06K2009/3291
Abstract: A computer implemented method for deriving an attribute entity network (AEN) from video data is disclosed, comprising the steps of extracting at least two entities from the video data, tracking the trajectories of the at least two entities to form at least two tracks, deriving at least one association between at least two entities by detecting at least one event involving the at least two entities, where the detecting of at least one event is based on detecting at least one spatiotemporal motion correlation between the at least two entities, and constructing the AEN by creating a graph wherein the at least two objects form at least two nodes and the at least one association forms a link between the at least two nodes.
Abstract translation: 公开了一种用于从视频数据导出属性实体网络（AEN）的计算机实现方法，包括以下步骤：从视频数据中提取至少两个实体，跟踪至少两个实体的轨迹以形成至少两个轨道，导出 通过检测涉及所述至少两个实体的至少一个事件，在至少两个实体之间的至少一个关联，其中所述至少一个事件的检测是基于检测所述至少两个实体之间的至少一个时空运动相关性，并且构建 AEN，其中所述至少两个对象形成至少两个节点并且所述至少一个关联形成所述至少两个节点之间的链接。
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Patent Agency Ranking
公开(公告)号：US20120070034A1
公开(公告)日：2012-03-22
申请号：US13041092
申请日：2011-03-04
Applicant: Jiangjian Xiao , Harpreet Singh Sawhney , Hui Cheng
Inventor： Jiangjian Xiao , Harpreet Singh Sawhney , Hui Cheng
IPC: G06K9/00
CPC classification number: G06K9/6296 , G06K9/00624 , G06T7/254
Abstract: The present invention relates to a method and apparatus for detecting and tracking vehicles. One embodiment of a system for detecting and tracking an object (e.g., vehicle) in a field of view includes a moving object indication stage for detecting a candidate object in a series of input video frames depicting the field of view and a track association stage that uses a joint probabilistic graph matching framework to associate an existing track with the candidate object.
Abstract translation: 本发明涉及车辆检测跟踪方法和装置。 用于在视野中检测和跟踪对象（例如，车辆）的系统的一个实施例包括用于检测描绘视场的一系列输入视频帧中的候选对象的移动对象指示级和跟踪关联级， 使用联合概率图匹配框架将现有轨道与候选对象相关联。
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公开(公告)号：US07949295B2
公开(公告)日：2011-05-24
申请号：US11206678
申请日：2005-08-18
Applicant: Rakesh Kumar , Aydin Arpa , Hui Cheng , Vincent Paragano , Keith J. Hanna
Inventor： Rakesh Kumar , Aydin Arpa , Hui Cheng , Vincent Paragano , Keith J. Hanna
Abstract: A method and system for performing automated training environment monitoring and evaluation. The training environment may include a mixed reality elements to enhance a training experience.
Abstract translation: 一种用于执行自动化培训环境监测和评估的方法和系统。 培训环境可能包括混合的现实要素，以增强培训经验。
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公开(公告)号：US07835578B2
公开(公告)日：2010-11-16
申请号：US11695755
申请日：2007-04-03
Applicant: Hui Cheng , Darren Butler
Inventor： Hui Cheng , Darren Butler
IPC: G06K9/34
CPC classification number: G06T7/00 , G06K9/00771 , G06K9/469 , G06T2207/10016 , G06T2207/20072
Abstract: A method for transforming Video-To-Text is disclosed that automatically generates text descriptions of the content of a video. The present invention first segments an input video sequence according to predefined semantic classes using a Mixture-of-Experts blob segmentation algorithm. The resulting segmentation is coerced into a semantic concept graph and based on domain knowledge and a semantic concept hierarchy. Then, the initial semantic concept graph is summarized and pruned. Finally, according to the summarized semantic concept graph and its changes over time, text and/or speech descriptions are automatically generated using one of the three description schemes: key-frame, key-object and key-change descriptions.
Abstract translation: 公开了一种用于转换视频到文本的方法，其自动生成视频内容的文本描述。 本发明首先使用专家混合分组分割算法根据预定义的语义类别划分输入视频序列。 所得到的分割被强制转化为语义概念图，并且基于领域知识和语义概念层次。 然后，总结和修剪初始语义概念图。 最后，根据总结的语义概念图及其随时间的变化，使用三个描述方案之一自动生成文本和/或语音描述：关键帧，关键对象和键改变描述。
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公开(公告)号：US20090319560A1
公开(公告)日：2009-12-24
申请号：US12489667
申请日：2009-06-23
Applicant: Hui Cheng , Changjiang Yan , Harpreet Singh Sawhney , Feng Han
Inventor： Hui Cheng , Changjiang Yan , Harpreet Singh Sawhney , Feng Han
IPC: G06F17/30
CPC classification number: G06F17/30781 , G06K9/00771 , G06K9/4642 , G06K9/6292
Abstract: A method and system for creating a histogram of oriented occurrences (HO2) is disclosed. A plurality of entities in at least one image are detected and tracked. One of the plurality of entities is designated as a reference entity. A local 2-dimensional ground plane coordinate system centered on and oriented with respect to the reference entity is defined. The 2-dimensional ground plane is partitioned into a plurality of non-overlapping bins, the bins forming a histogram, a bin tracking a number of occurrences of an entity class. An occurrence of at least one other entity of the plurality of entities located in the at least one image may be associated with one of the plurality of non-overlapping bins. A number of occurrences of entities of at least one entity class in at least one bin may be into a vector to define an HO2 feature.
Abstract translation: 公开了一种用于创建定向事件直方图（HO2）的方法和系统。 检测并跟踪至少一个图像中的多个实体。 多个实体之一被指定为参照实体。 定义以参考实体为中心并定向的局部二维地面坐标系。 二维接地平面被划分成多个不重叠的箱体，该箱体形成一个直方图，一个箱子跟踪一个实体类的出现次数。 位于所述至少一个图像中的所述多个实体中的至少一个其他实体的出现可以与所述多个非重叠区域中的一个相关联。 在至少一个箱中的至少一个实体类的实体的多个出现可以被转换为向量以定义HO2特征。
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公开(公告)号：US20090177633A1
公开(公告)日：2009-07-09
申请号：US12332661
申请日：2008-12-11
Applicant: Chumki Basu , Hui Cheng
Inventor： Chumki Basu , Hui Cheng
IPC: G06F17/30
CPC classification number: G06F16/78
Abstract: A computer implemented method for retrieving video clips from a database is disclosed. The method may include retrieving in an initial query from a video collection based on a search term; receiving a user selection of at least one video clip from a first set of video clips corresponding to the search term; associating at least one visual attribute of the selected video clip with the search term; receiving the at least one search term from a user in a subsequent query; determining a set of physical concepts based on the at least one search term; mapping the set of physical concepts to a plurality of visual attributes; searching the database for at least one video clip corresponding to the plurality of visual attributes; identifying at least one video clip in the database having the plurality of visual attributes; and returning a second set of video clips having the set of visual attributes to the user, the second set including the at least one video clip.
Abstract translation: 公开了一种用于从数据库检索视频剪辑的计算机实现的方法。 该方法可以包括基于搜索项从视频集合中检索初始查询; 从与所述搜索项对应的第一组视频剪辑中接收用户对至少一个视频剪辑的选择; 将所选择的视频剪辑的至少一个视觉属性与搜索项相关联; 在随后的查询中从用户接收所述至少一个搜索项; 基于所述至少一个搜索项确定一组物理概念; 将所述物理概念集合映射到多个视觉属性; 在所述数据库中搜索与所述多个视觉属性对应的至少一个视频剪辑; 识别数据库中具有多个视觉属性的至少一个视频剪辑; 以及将具有所述视觉属性集的第二组视频剪辑返回给所述用户，所述第二组包括所述至少一个视频剪辑。
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