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1. 发明申请

US20110313933A1 Decision-Theoretic Control of Crowd-Sourced Workflows 审中-公开
标题翻译：人群工作流的决策理论控制
公开(公告)号：US20110313933A1
公开(公告)日：2011-12-22
申请号：US13049769
申请日：2011-03-16
申请人： Peng Dai , Mausam , Daniel S. Weld
发明人： Peng Dai , Mausam , Daniel S. Weld
IPC分类号： G06Q10/00
CPC分类号： G06Q10/10 , G06Q10/103
摘要： Systems and methods for the decision-theoretic control and optimization of crowd-sources workflows utilize a computing device to map a workflow to complete a directive. The directive includes a utility function, and the workflow comprises an ordered task set. Decision points precede and follow each task in the task set, and each decision point may require (a) posting a call for workers to complete instances of tasks in the task set; (b) adjusting parameters of tasks in the task set; or (c) submitting an artifact generated by a worker as output. The computing device accesses a plurality of workers having capability parameters that describe the workers' respective abilities to complete tasks. The computing device implements the workflow by optimizing and/or selecting user-preferred choices at decision points according to the utility function and submits an artifact as output. The computing device may also implement a training phase to ascertain worker capability parameters.
摘要翻译：用于决策理论控制和优化人群来源工作流程的系统和方法利用计算设备映射工作流以完成指令。该指令包括效用函数，工作流包括有序任务集。决策点在任务集中的每个任务之前和之后，每个决策点可能需要（a）发布一个呼叫，让工作人员完成任务集中的任务实例; （b）调整任务集中任务的参数; 或（c）提交由工作人员生成的工件作为输出。计算设备访问多个具有描述工人相应能力以完成任务的能力参数的工作人员。计算设备通过根据效用函数优化和/或选择决策点上的用户偏好选择来实现工作流程，并将工件提交为输出。计算设备还可以实现训练阶段以确定工作人员能力参数。

2. 发明授权

US11966516B2 Methods and systems for hand gesture-based control of a device 有权
公开(公告)号：US11966516B2
公开(公告)日：2024-04-23
申请号：US17827939
申请日：2022-05-30
申请人： Juwei Lu , Sayem Mohammad Siam , Wei Zhou , Peng Dai , Xiaofei Wu , Songcen Xu
发明人： Juwei Lu , Sayem Mohammad Siam , Wei Zhou , Peng Dai , Xiaofei Wu , Songcen Xu
IPC分类号： G06F3/01 , G06V10/25 , G06V10/82 , G06V40/20
CPC分类号： G06F3/017 , G06V10/25 , G06V10/82 , G06V40/28
摘要： Methods and systems for gesture-based control of a device are described. A virtual gesture-space is determined in a received input frame. The virtual gesture-space is associated with a primary user from a ranked user list of users. The received input frame is processed in only the virtual gesture-space, to detect and track a hand. Using a hand bounding box generated by detecting and tracking the hand, gesture classification is performed to determine a gesture input associated with the hand. A command input associated with the determined gesture input is processed. The device may be a smart television, a smart phone, a tablet, etc.

3. 发明授权

US11698926B2 Systems and methods for video retrieval and grounding 有权
公开(公告)号：US11698926B2
公开(公告)日：2023-07-11
申请号：US17524862
申请日：2021-11-12
申请人： Arnab Kumar Mondal , Deepak Sridhar , Niamul Quader , Juwei Lu , Peng Dai , Chao Xing
发明人： Arnab Kumar Mondal , Deepak Sridhar , Niamul Quader , Juwei Lu , Peng Dai , Chao Xing
IPC分类号： G06F16/30 , G06F16/732 , G06N3/04 , G06F16/783 , G06V20/40
CPC分类号： G06F16/7343 , G06F16/783 , G06N3/04 , G06V20/40
摘要： Methods and systems are described for performing video retrieval together with video grounding. A word-based query for a video is and encoded into a query representation using a trained query encoder. One or more similar video representations are identified, from a plurality of video representations that are similar to the query representation. Each similar video representation represents a respective relevant video. A grounding is generated for each relevant video by forward propagating each respective similar video representation together with the query representation through a trained grounding module. The relevant videos or identifiers of the relevant videos are outputted together with the grounding generated for each relevant video.

4. 发明授权

US10963702B1 Method and system for video segmentation 有权
公开(公告)号：US10963702B1
公开(公告)日：2021-03-30
申请号：US16566179
申请日：2019-09-10
申请人： Ruiwen Li , Peng Dai , Varshanth Ravindra Rao , Juwei Lu , Wei Li , Jianpeng Xu
发明人： Ruiwen Li , Peng Dai , Varshanth Ravindra Rao , Juwei Lu , Wei Li , Jianpeng Xu
IPC分类号： G06K9/00 , G11B27/031 , G11B27/30 , G06F40/205
摘要： Methods and systems for video segmentation and scene recognition are described. A video having a plurality of frames and a subtitle file associated with the video are received. Segmentation is performed on the video to generate a first set video frames comprising one or more video frames based on a frame-by-frame comparison of features in the frames of the video. Each video frame in the first includes a frame indicator which indicates at least a first start frame of the video frame. The subtitle file associated with the video is parsed to generate one or more subtitle segments based on a start and an end time of each dialogue in the subtitle file. A second set of video frames comprising one or more second video frames are generated based on the video frames of the first set of video frames and the e or more subtitle segments.

5. 发明申请

US20150178659A1 Method and System for Identifying and Maintaining Gold Units for Use in Crowdsourcing Applications 审中-公开
标题翻译：识别和维护用于群众应用的黄金单位的方法和系统
公开(公告)号：US20150178659A1
公开(公告)日：2015-06-25
申请号：US13418485
申请日：2012-03-13
申请人： Peng Dai , Owen Brydon
发明人： Peng Dai , Owen Brydon
IPC分类号： G06Q10/06 , G06Q50/00
CPC分类号： G06Q10/06395 , G06Q50/01
摘要： Methods and systems for identifying and maintaining gold units in a crowdsourcing application are provided. Units of work are selected for inclusion in a gold set based on worker responses to the units of work and an accuracy associated with the workers responding to the unit of work. The gold set is dynamically updated to remove older gold units from the gold set and to remove gold units that are too subjective from the gold set. The optimum gold unit percentage for a given task can also be identified.
摘要翻译：提供了在众包申请中识别和维护黄金单元的方法和系统。根据工作人员对工作单位的反应以及与工作单位作出回应的工作人员的准确性，选择工作单位纳入黄金套餐。黄金套件被动态更新，以从黄金套件中去除更旧的黄金单位，并清除黄金单位过于主观的黄金单位。也可以确定给定任务的最佳金单位百分比。

6. 发明申请

US20110271078A1 PROCESSOR STRUCTURE OF INTEGRATED CIRCUIT 审中-公开
标题翻译：集成电路的处理器结构
公开(公告)号：US20110271078A1
公开(公告)日：2011-11-03
申请号：US13121406
申请日：2008-12-15
申请人： Peng Dai , Ziyi Hu , Xinan Wang , Xing Zhang
发明人： Peng Dai , Ziyi Hu , Xinan Wang , Xing Zhang
IPC分类号： G06F15/76 , G06F9/02
CPC分类号： G06F15/76 , G06F9/3455 , G06F9/3897
摘要： A processor structure of integrated circuit is provided. The processor structure comprises at least one processor capable of configuring an operation component and at least one processor capable of configuring a storage component. The processor capable of configuring an operation component or the processor capable of configuring a storage component cascades the processor capable of configuring an operation component and the processor capable of configuring a storage component. The processor capable of configuring an operation component includes a first arithmetic data control component and at least one operation component, and the first arithmetic data control component executes a configuration instruction to configure the operation function of the operation component. The processor capable of configuring a storage component includes a second arithmetic data control component and at least one memory component, and the second arithmetic data control component executes a configuration instruction to configure the storage function of the memory component.
摘要翻译：提供集成电路的处理器结构。处理器结构包括能够配置操作组件的至少一个处理器和能够配置存储组件的至少一个处理器。能够配置操作组件的处理器或能够配置存储组件的处理器级联能够配置操作组件的处理器和能够配置存储组件的处理器。能够配置操作部件的处理器包括第一算术数据控制部件和至少一个操作部件，第一算术数据控制部件执行配置指令以配置操作部件的操作功能。能够配置存储部件的处理器包括第二算术数据控制部件和至少一个存储器部件，第二算术数据控制部件执行配置指令以配置存储器部件的存储功能。

7. 发明授权

US11669743B2 Adaptive action recognizer for video 有权
公开(公告)号：US11669743B2
公开(公告)日：2023-06-06
申请号：US16874478
申请日：2020-05-14
申请人： Niamul Quader , Juwei Lu , Peng Dai , Wei Li
发明人： Niamul Quader , Juwei Lu , Peng Dai , Wei Li
IPC分类号： H04N21/462 , G06K9/62 , H04N21/466 , G06N3/08 , G06V20/40 , G06N3/04 , H04N21/4402 , G06F9/50
CPC分类号： H04N21/4621 , G06F9/5055 , G06K9/6277 , G06N3/0454 , G06N3/08 , G06V20/41 , H04N21/440227 , H04N21/4666 , G06V20/44
摘要： An adaptive action recognizer for video that performs multiscale spatiotemporal decomposition of video to generate lower complexity video. The adaptive action recognizer has a number of processing pathways, one for each level of video complexity with each processing pathway having a different computational cost. The adaptive action recognizer applies a decision making scheme that encourages using low average computational costs while retaining high accuracy.

8. 发明授权

US11023710B2 Semi-supervised hybrid clustering/classification system 有权
公开(公告)号：US11023710B2
公开(公告)日：2021-06-01
申请号：US16280760
申请日：2019-02-20
申请人： Peng Dai , Juwei Lu , Bharath Sekar , Wei Li , Jianpeng Xu , Ruiwen Li
发明人： Peng Dai , Juwei Lu , Bharath Sekar , Wei Li , Jianpeng Xu , Ruiwen Li
IPC分类号： G06K9/00 , G06K9/62 , G06N20/00 , G06F16/75
摘要： System and method for classifying data objects occurring in an unstructured dataset, comprising: extracting feature vectors from the unstructured dataset, each feature vector representing an occurrence of a data object in the unstructured dataset; classifying the feature vectors into feature vector sets that each correspond to a respective object class from a plurality of object classes; for each feature vector set: performing multiple iterations of a clustering operation, each iteration including clustering feature vectors from the feature vector set into clusters of similar feature vectors and identifying outlier feature vectors, wherein for at least one iteration after a first iteration of the clustering operation, outlier feature vectors identified in a previous iteration are excluded from the clustering operation; and outputting a key cluster for the feature vector set from a final iteration of the multiple iterations, the key cluster including a greater number of similar feature vectors than any of the other clusters of the final iteration; and assembling a dataset that includes at least the feature vectors from the key clusters of the feature vector sets.

9. 发明申请

US20200265218A1 SEMI-SUPERVISED HYBRID CLUSTERING/CLASSIFICATION SYSTEM 审中-公开
公开(公告)号：US20200265218A1
公开(公告)日：2020-08-20
申请号：US16280760
申请日：2019-02-20
申请人： Peng Dai , Juwei Lu , Bharath Sekar , Wei Li , Jianpeng Xu , Ruiwen Li
发明人： Peng Dai , Juwei Lu , Bharath Sekar , Wei Li , Jianpeng Xu , Ruiwen Li
IPC分类号： G06K9/00 , G06K9/62 , G06F16/75 , G06N20/00
摘要： System and method for classifying data objects occurring in an unstructured dataset, comprising: extracting feature vectors from the unstructured dataset, each feature vector representing an occurrence of a data object in the unstructured dataset; classifying the feature vectors into feature vector sets that each correspond to a respective object class from a plurality of object classes; for each feature vector set: performing multiple iterations of a clustering operation, each iteration including clustering feature vectors from the feature vector set into clusters of similar feature vectors and identifying outlier feature vectors, wherein for at least one iteration after a first iteration of the clustering operation, outlier feature vectors identified in a previous iteration are excluded from the clustering operation; and outputting a key cluster for the feature vector set from a final iteration of the multiple iterations, the key cluster including a greater number of similar feature vectors than any of the other clusters of the final iteration; and assembling a dataset that includes at least the feature vectors from the key clusters of the feature vector sets.

10. 发明授权

US12001613B2 Methods and systems for hand gesture-based control of a device 有权
公开(公告)号：US12001613B2
公开(公告)日：2024-06-04
申请号：US17827939
申请日：2022-05-30
申请人： Juwei Lu , Sayem Mohammad Siam , Wei Zhou , Peng Dai , Xiaofei Wu , Songcen Xu
发明人： Juwei Lu , Sayem Mohammad Siam , Wei Zhou , Peng Dai , Xiaofei Wu , Songcen Xu
IPC分类号： G06F3/01 , G06V10/25 , G06V10/82 , G06V40/20
CPC分类号： G06F3/017 , G06V10/25 , G06V10/82 , G06V40/28
摘要： Methods and systems for gesture-based control of a device are described. A virtual gesture-space is determined in a received input frame. The virtual gesture-space is associated with a primary user from a ranked user list of users. The received input frame is processed in only the virtual gesture-space, to detect and track a hand. Using a hand bounding box generated by detecting and tracking the hand, gesture classification is performed to determine a gesture input associated with the hand. A command input associated with the determined gesture input is processed. The device may be a smart television, a smart phone, a tablet, etc.

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