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1. 发明授权

US08874584B1 Hierarchical video search and recognition system 有权
标题翻译：分层视频搜索和识别系统
公开(公告)号：US08874584B1
公开(公告)日：2014-10-28
申请号：US12660320
申请日：2010-02-24
申请人： Yang Chen , Swarup Medasani , David L. Allen , Qin Jiang , Yuri Owechko , Tsai-Ching Lu
发明人： Yang Chen , Swarup Medasani , David L. Allen , Qin Jiang , Yuri Owechko , Tsai-Ching Lu
IPC分类号： G06F17/30
CPC分类号： G06F17/30805 , G06F17/30811
摘要： Described is a system for content recognition, search, and retrieval in visual data. The system is configured to perform operations of receiving visual data as an input, processing the visual data, and extracting distinct activity-agnostic content descriptors from the visual data at each level of a hierarchical content descriptor module. The resulting content descriptors are then indexed with a hierarchical content indexing module, wherein each level of the content indexing module comprises a distinct set of indexed content descriptors. The visual data, generated content descriptors, and indexed content descriptors are then stored in a storage module. Finally, based on a content-based query by a user, the storage module is searched, and visual data containing the content of interest is retrieved and presented to the user. A method and computer program product for content recognition, search, and retrieval in visual data are also described.
摘要翻译：描述了用于视觉数据中的内容识别，搜索和检索的系统。该系统被配置为执行接收视觉数据作为输入，处理可视数据以及从分层内容描述符模块的每个级别的视觉数据中提取不同的活动不可知内容描述符的操作。所得到的内容描述符然后用分层内容索引模块进行索引，其中内容索引模块的每个级别包括不同的索引内容描述符集合。然后将可视数据，生成的内容描述符和索引的内容描述符存储在存储模块中。最后，基于用户的基于内容的查询，搜索存储模块，并且检索包含感兴趣内容的视觉数据并呈现给用户。还描述了用于视觉数据中的内容识别，搜索和检索的方法和计算机程序产品。

2. 发明授权

US09361523B1 Video content-based retrieval 有权
标题翻译：基于视频内容的检索
公开(公告)号：US09361523B1
公开(公告)日：2016-06-07
申请号：US12841078
申请日：2010-07-21
申请人： Yang Chen , Swarup Medasani , Qin Jiang , David L. Allen , Tsai-Ching Lu
发明人： Yang Chen , Swarup Medasani , Qin Jiang , David L. Allen , Tsai-Ching Lu
IPC分类号： G06K9/03 , G06K9/00
CPC分类号： G06K9/00758 , G06K9/00711 , G06K9/00718 , G06K9/00744 , G06K9/4676 , G06T2207/10016 , G06T2210/00
摘要： A method and system for video-content based retrieval is described. A query video depicting an activity is processed using interest point selection to find locations in the video that are relevant to that activity. A set of spatio-temporal descriptors such as self-similarity and 3-D SIFT are calculated within a local neighborhood of the set of interest points. An indexed video database containing videos similar to the query video is searched using the set of descriptors to obtain a set of candidate videos. The videos in the video database are indexed hierarchically using a vocabulary tree or other hierarchical indexing mechanism.
摘要翻译：描述了基于视频内容的检索的方法和系统。使用兴趣点选择来处理描绘活动的查询视频，以查找视频中与该活动相关的位置。在一组感兴趣点的本地邻域内计算一组空间 - 时间描述符，例如自相似性和3-D SIFT。使用该组描述符搜索包含与查询视频类似的视频的索引视频数据库，以获得一组候选视频。视频数据库中的视频使用词汇树或其他分层索引机制分层索引。

3. 发明授权

US08213709B1 Method and system for directed area search using cognitive swarm vision and cognitive Bayesian reasoning 有权
标题翻译：使用认知群体视觉和认知贝叶斯推理的定向区域搜索的方法和系统
公开(公告)号：US08213709B1
公开(公告)日：2012-07-03
申请号：US12590110
申请日：2009-11-03
申请人： Swarup Medasani , Yuri Owechko , Tsai-Ching Lu , Deepak Khosla , David L. Allen
发明人： Swarup Medasani , Yuri Owechko , Tsai-Ching Lu , Deepak Khosla , David L. Allen
IPC分类号： G06K9/62
CPC分类号： G06K9/6278 , G06K9/00671 , G06K9/6263 , G06N7/005
摘要： A method and system for a directed area search using cognitive swarm vision and cognitive Bayesian reasoning is disclosed. The system comprises a domain knowledge database, a top-down reasoning module, and a bottom-up module. The domain knowledge database is configured to store Bayesian network models comprising visual features and observables associated with various sets of entities. The top-down module is configured to receive a search goal, generate a plan of action using Bayesian network models, and partition the plan into a set of tasks/observables to be located in the imagery. The bottom-up module is configured to select relevant feature/attention models for the observables, and search the visual imagery using a cognitive swarm for the at least one observable. The system further provides for operator feedback and updating of the domain knowledge database to perform better future searches.
摘要翻译：公开了一种使用认知群体视觉和认知贝叶斯推理的定向区域搜索的方法和系统。该系统包括域知识数据库，自上而下推理模块和自下而上模块。域知识数据库被配置为存储包括与各组实体相关联的视觉特征和可观察性的贝叶斯网络模型。自顶向下模块被配置为接收搜索目标，使用贝叶斯网络模型生成行动计划，并将计划分成一组要在图像中的任务/可观察值。自下而上模块被配置为选择可观察的相关特征/关注模型，并且使用用于至少一个可观察的认知群搜索视觉图像。该系统进一步提供操作者反馈和更新领域知识数据库以执行更好的未来搜索。

4. 发明授权

US08948499B1 Method for online learning and recognition of visual behaviors 有权
标题翻译：在线学习和识别视觉行为的方法
公开(公告)号：US08948499B1
公开(公告)日：2015-02-03
申请号：US12962548
申请日：2010-12-07
申请人： Swarup Medasani , David L. Allen , Suhas E. Chelian , Yuri Owechko
发明人： Swarup Medasani , David L. Allen , Suhas E. Chelian , Yuri Owechko
IPC分类号： G06K9/62
CPC分类号： G06K9/469 , G06K9/00771 , G06K9/00785 , G06K9/6296
摘要： Described is a system for object and behavior recognition which utilizes a collection of modules which, when integrated, can automatically recognize, learn, and adapt to simple and complex visual behaviors. An object recognition module utilizes a cooperative swarm algorithm to classify an object in a domain. A graph-based object representation module is configured to use a graphical model to represent a spatial organization of the object within the domain. Additionally, a reasoning and recognition engine module consists of two sub-modules: a knowledge sub-module and a behavior recognition sub-module. The knowledge sub-module utilizes a Bayesian network, while the behavior recognition sub-module consists of layers of adaptive resonance theory clustering networks and a layer of a sustained temporal order recurrent temporal order network. The described invention has applications in video forensics, data mining, and intelligent video archiving.
摘要翻译：描述了一种用于对象和行为识别的系统，其利用模块集合，当集成时，可以自动识别，学习和适应简单和复杂的视觉行为。对象识别模块利用协作群算法对域中的对象进行分类。基于图形的对象表示模块被配置为使用图形模型来表示域内对象的空间组织。另外，推理和识别引擎模块由两个子模块组成：知识子模块和行为识别子模块。知识子模块利用贝叶斯网络，而行为识别子模块由自适应共振理论聚类网络层和持续时间顺序复现时间顺序网络层组成。所描述的发明在视频取证，数据挖掘和智能视频归档中具有应用。

5. 发明授权

US08577663B2 System and methods for fault-isolation and fault-mitigation based on network modeling 有权
标题翻译：基于网络建模的故障隔离和故障缓解的系统和方法
公开(公告)号：US08577663B2
公开(公告)日：2013-11-05
申请号：US13113835
申请日：2011-05-23
申请人： Tsai-Ching Lu , Yilu Zhang , Alejandro Nijamkin , David L. Allen , Hankyu Moon , Mutasim A. Salman
发明人： Tsai-Ching Lu , Yilu Zhang , Alejandro Nijamkin , David L. Allen , Hankyu Moon , Mutasim A. Salman
IPC分类号： G06F17/50
CPC分类号： G05B23/0235 , B60W50/0205 , B60W50/045 , G06F11/0739 , G06F11/079 , G06F11/3013 , G06F11/3093
摘要： A system and method for identifying a monitoring point in an electrical and electronic system (EES) in a vehicle. The method includes defining a network model of the EES where potential monitoring point locations in the model are identified as targets, such as nodes. The method then computes a betweenness centrality metric for each target in the model as a summation of a ratio of a number of shortest paths between each pair of targets in the model that pass through the target whose betweenness centrality metric is being determined to a total number of shortest paths between each pair of targets. The method identifies which of the betweenness centrality metrics are greater than a threshold that defines a minimum acceptable metric and determines which of those targets meets a predetermined model coverage. The monitoring point is selected as the target that best satisfies the minimum metric and the desired coverage.
摘要翻译：一种用于识别车辆中电气和电子系统（EES）中的监测点的系统和方法。该方法包括定义EES的网络模型，其中将模型中的潜在监测点位置识别为诸如节点的目标。该方法然后计算模型中每个目标的中间性中心度量，作为模型中每对目标之间的最短路径数之和的比值，该模型中通过目标之间的最小路径的比率，该目标的中间性中心度量被确定为总数每对目标之间的最短路径。该方法识别哪个中间中心度量大于定义最小可接受度量的阈值，并确定哪些目标满足预定的模型覆盖。选择监测点作为最适合最小度量和所需覆盖范围的目标。

6. 发明申请

US20120303348A1 SYSTEM AND METHODS FOR FAULT-ISOLATION AND FAULT-MITIGATION BASED ON NETWORK MODELING 有权
标题翻译：基于网络建模的故障隔离和故障缓解系统与方法
公开(公告)号：US20120303348A1
公开(公告)日：2012-11-29
申请号：US13113835
申请日：2011-05-23
申请人： Tsai-Ching Lu , Yilu Zhang , Alejandro Nijamkin , David L. Allen , Hankyu Moon , Mutasim A. Salman
发明人： Tsai-Ching Lu , Yilu Zhang , Alejandro Nijamkin , David L. Allen , Hankyu Moon , Mutasim A. Salman
IPC分类号： G06G7/62
CPC分类号： G05B23/0235 , B60W50/0205 , B60W50/045 , G06F11/0739 , G06F11/079 , G06F11/3013 , G06F11/3093
摘要： A system and method for identifying a monitoring point in an electrical and electronic system (EES) in a vehicle. The method includes defining a network model of the EES where potential monitoring point locations in the model are identified as targets, such as nodes. The method then computes a betweenness centrality metric for each target in the model as a summation of a ratio of a total number of shortest paths between each pair of targets and a number of shortest paths that pass through the target whose betweenness centrality metric is being determined. The method identifies which of the betweenness centrality metrics are greater than a threshold that defines a minimum acceptable metric and determines which of those targets meets a predetermined model coverage. The monitoring point is selected as the target that best satisfies the minimum metric and the desired coverage.
摘要翻译：一种用于识别车辆中电气和电子系统（EES）中的监测点的系统和方法。该方法包括定义EES的网络模型，其中将模型中的潜在监测点位置识别为诸如节点的目标。该方法然后将模型中的每个目标的中间性中心度量计算为每对目标之间的最短路径的总数与通过其中心中心度量被确定的目标的最短路径的数量之和的总和。该方法识别哪个中间中心度量大于定义最小可接受度量的阈值，并确定哪些目标满足预定的模型覆盖。选择监测点作为最适合最小度量和所需覆盖范围的目标。

7. 发明授权

US09483729B1 Mining group patterns in dynamic relational data via individual event monitoring 有权
标题翻译：通过单独的事件监控在动态关系数据中挖掘组模式
公开(公告)号：US09483729B1
公开(公告)日：2016-11-01
申请号：US13600101
申请日：2012-08-30
申请人： David L. Allen , Tsai-Ching Lu
发明人： David L. Allen , Tsai-Ching Lu
IPC分类号： G06N5/02
CPC分类号： G06N5/02 , G06N5/022 , G06Q10/06 , G06Q50/01
摘要： Described is a system for detecting group behaviors in dynamic relational data by monitoring individual events of interest. Data is collected from a domain of interest at predetermined time intervals. Examples of domains of interest include internet data, video behavior analysis, social networks, and diagnosis and prognosis. The data is then monitored for at least one local event of interest defined by a user. The system is configured to analyze a relationship between at least two monitored local events of interest. Finally, a visual representation of the relationship between the monitored local events of interest is generated and presented to the user for further analysis. Also described is a method and computer program product for detecting group behaviors in data.
摘要翻译：描述了通过监视感兴趣的个人事件来检测动态关系数据中的组行为的系统。以预定的时间间隔从感兴趣的域收集数据。感兴趣的领域的例子包括互联网数据，视频行为分析，社交网络，以及诊断和预后。然后，监视由用户定义的至少一个感兴趣的本地事件的数据。该系统被配置为分析至少两个被监视的感兴趣的本地事件之间的关系。最后，生成并监视本地感兴趣的本地事件之间的关系的视觉表示，以供用户进一步分析。还描述了一种用于检测数据中的组行为的方法和计算机程序产品。

8. 发明授权

US09147273B1 System and method for modeling and analyzing data via hierarchical random graphs 有权
标题翻译：通过分层随机图来建模和分析数据的系统和方法
公开(公告)号：US09147273B1
公开(公告)日：2015-09-29
申请号：US13029073
申请日：2011-02-16
申请人： David L. Allen , Tsai-Ching Lu , David J. Huber , Hankyu Moon
发明人： David L. Allen , Tsai-Ching Lu , David J. Huber , Hankyu Moon
IPC分类号： G06T11/20 , G06F19/26
CPC分类号： G06T11/206 , G06F19/12 , G06F19/26
摘要： The present invention is directed to a data processing apparatus and a computer implemented method for modeling and analyzing relational data represented in a network that includes a plurality of nodes and a plurality of connections between the nodes. The method includes assigning at least one weight to a connection between two nodes in the network. A set of possible dendrograms is then generated for the network, and a likelihood of each dendrogram in the set is determined. The determination of the likelihood is based on at least the one weight of the connection. One of the dendrograms from the set is selected as an optimal dendrogram based on the determined likelihood. The selected dendrogram is then output via an output device. The dendrogram may be used to predict missing links or identify any possible false-positive (noisy) links within a relational dataset.
摘要翻译：本发明涉及一种数据处理装置和计算机实现的方法，用于对包括多个节点和节点之间的多个连接的网络中表示的关系数据进行建模和分析。该方法包括为网络中的两个节点之间的连接分配至少一个权重。然后为网络生成一组可能的树状图，并确定集合中每个树形图的可能性。可能性的确定至少基于连接的一个重量。根据确定的可能性，将集合中的一个树形图选择为最佳树形图。然后通过输出设备输出所选的树形图。树状图可用于预测遗漏链接或识别关系数据集内任何可能的假阳性（嘈杂）链接。

9. 发明授权

US09391607B2 Use of random sampling technique to reduce finger-coupled noise 有权
标题翻译：使用随机采样技术来减少手指耦合噪声
公开(公告)号：US09391607B2
公开(公告)日：2016-07-12
申请号：US12987008
申请日：2011-01-07
申请人： Ashutosh Ravindra Joharapurkar , Patrick Chan , David L. Allen , Natarajan Viswanathan
发明人： Ashutosh Ravindra Joharapurkar , Patrick Chan , David L. Allen , Natarajan Viswanathan
IPC分类号： G06F3/044 , H03K17/96 , G06F3/041
CPC分类号： G06F3/0418 , G06F3/0412 , G06F3/044 , H03K17/96 , H03K17/962 , H03K2217/96062
摘要： Random sampling techniques include techniques for reducing or eliminating errors in the output of capacitive sensor arrays such as touch panels. The channels of the touch panel are periodically sampled to determine the presence of one or more touch events. Each channel is individually sampled in a round robin fashion, referred to as a sampling cycle. During each sampling cycle, all channels are sampled once. Multiple sampling cycles are performed such that each channel is sampled multiple times. Random sampling techniques are used to sample each of the channels. One random sampling technique randomizes a starting channel in each sampling cycle. Another random sampling technique randomizes the selection of all channels in each sampling cycle. Yet another random sampling technique randomizes the sampling cycle delay period between each sampling cycle. Still another random sampling technique randomizes the channel delay period between sampling each channel.
摘要翻译：随机采样技术包括用于减少或消除诸如触摸面板的电容式传感器阵列的输出中的误差的技术。周期性地对触摸面板的通道进行采样，以确定是否存在一个或多个触摸事件。每个通道以循环方式单独采样，称为采样周期。在每个采样周期期间，所有通道都被采样一次。执行多个采样周期，使得每个通道被多次采样。随机采样技术用于对每个通道进行采样。一个随机采样技术将每个采样周期中的起始通道随机化。另一种随机采样技术随机化了每个采样周期中所有信道的选择。另一种随机抽样技术使每个采样周期之间的采样周期延迟周期随机化。另一种随机采样技术使每个通道采样之间的通道延迟周期随机化。

10. 发明授权

US07791473B2 Systems and methods for handling information from wireless nodes, including nodes for communication with aircraft 有权
标题翻译：用于处理来自无线节点的信息的系统和方法，包括用于与飞机通信的节点
公开(公告)号：US07791473B2
公开(公告)日：2010-09-07
申请号：US12208527
申请日：2008-09-11
申请人： David L. Allen , Timothy M. Mitchell
发明人： David L. Allen , Timothy M. Mitchell
IPC分类号： G08B1/08 , G06F19/00
CPC分类号： H04L41/046 , H04B7/18506 , H04L67/12 , H04L67/125 , H04W84/06
摘要： Systems and methods for handling information from wireless nodes, including nodes for communication with aircraft, are disclosed. A system in accordance with one aspect of the invention includes a sensor configured to sense information corresponding to a characteristic of a wireless node. The wireless node can be one of a plurality of wireless nodes configured to transmit and receive wireless signals. The wireless nodes can also be linked to a non-wireless network portion. The system can further include a transmitter configured to transmit the information via the network, and a receiver operatively coupled to the transmitter to receive the information via the network. Accordingly, the system can be used to automatically identify and track diagnostic information corresponding to the state of one or more wireless nodes.
摘要翻译：公开了用于处理来自无线节点（包括用于与飞机通信的节点）的信息的系统和方法。根据本发明的一个方面的系统包括被配置为感测对应于无线节点的特性的信息的传感器。无线节点可以是被配置为发送和接收无线信号的多个无线节点之一。无线节点还可以链接到非无线网络部分。该系统还可以包括配置成经由网络传输信息的发射机，以及可操作地耦合到发射机的接收机，经由网络接收信息。因此，该系统可用于自动识别和跟踪与一个或多个无线节点的状态相对应的诊断信息。

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