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公开(公告)号：US20170109514A1
公开(公告)日：2017-04-20
申请号：US15398886
申请日：2017-01-05
Applicant: SRI International
Inventor： Hui Cheng , Omar Javed , JieJie Zhu
CPC classification number: G06F21/32 , G06F21/316 , H04L63/0861 , H04L63/12 , H04W12/06 , H04W12/08
Abstract: Technology for performing continuous authentication of a mobile device utilizes user activity context data and biometric signature data related to the user. A biometric signature can be selected based on the activity context, and the selected biometric signature can be used to verify the identity of the user.
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2.发明申请公开(公告)号：US20170065889A1
公开(公告)日：2017-03-09
申请号：US14985039
申请日：2015-12-30
Applicant: SRI International
Inventor： Hui Cheng
IPC: A63F13/497
CPC classification number: A63F13/497 , A63F2300/634
Abstract: The present invention extends to methods, systems, and computer program products for identifying and extracting game video highlights. Game highlights are identified and extracted from game video recorded or streamed from video games. Game highlights are created by identifying low-level sounds in a game video. Then, game concepts are detected based on identified low-level sounds. A game concept space is created for different types of game concepts. One or more highlights are generated using the concept space based on game knowledge and/or user preference. Multiple highlights can be fused together into a compilation of highlights.
Abstract translation: 本发明扩展到用于识别和提取游戏视频亮点的方法，系统和计算机程序产品。 从视频游戏记录或流式传输的游戏视频中识别和提取游戏亮点。 通过识别游戏视频中的低级声音创建游戏亮点。 然后，基于识别的低级声音来检测游戏概念。 为不同类型的游戏概念创建游戏概念空间。 使用基于游戏知识和/或用户偏好的概念空间生成一个或多个亮点。 多个亮点可以融合在一起，汇集亮点。
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公开(公告)号：US09244924B2
公开(公告)日：2016-01-26
申请号：US13737607
申请日：2013-01-09
Applicant: SRI INTERNATIONAL
Inventor： Hui Cheng , Harpreet Singh Sawhney , Ajay Divakaran , Qian Yu , Jingen Liu , Amir Tamrakar , Saad Ali , Omar Javed
IPC: G06F17/30
CPC classification number: G06F17/30823 , G06F17/30023 , G06F17/30784 , G06F17/30817
Abstract: A complex video event classification, search and retrieval system can generate a semantic representation of a video or of segments within the video, based on one or more complex events that are depicted in the video, without the need for manual tagging. The system can use the semantic representations to, among other things, provide enhanced video search and retrieval capabilities.
Abstract translation: 复杂的视频事件分类，搜索和检索系统可以基于视频中描绘的一个或多个复杂事件，而不需要手动标记来生成视频中的视频或片段的语义表示。 该系统可以使用语义表示来提供增强的视频搜索和检索功能。
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公开(公告)号：US20140347475A1
公开(公告)日：2014-11-27
申请号：US14286305
申请日：2014-05-23
Applicant: SRI International
Inventor： Ajay Divakaran , Qian Yu , Amir Tamrakar , Harpreet Singh Sawhney , Jiejie Zhu , Omar Javed , Jingen Liu , Hui Cheng , Jayakrishnan Eledath
IPC: G06K9/00
CPC classification number: G06K9/00771
Abstract: A system for object detection and tracking includes technologies to, among other things, detect and track moving objects, such as pedestrians and/or vehicles, in a real-world environment, handle static and dynamic occlusions, and continue tracking moving objects across the fields of view of multiple different cameras.
Abstract translation: 用于物体检测和跟踪的系统包括在现实环境中检测和跟踪诸如行人和/或车辆之类的移动物体的技术，处理静态和动态遮挡，以及继续跟踪所有场中的移动物体 的多个不同的相机的视图。
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公开(公告)号：US10268900B2
公开(公告)日：2019-04-23
申请号：US15905937
申请日：2018-02-27
Applicant: SRI International
Inventor： Ajay Divakaran , Qian Yu , Amir Tamrakar , Harpreet Singh Sawhney , Jiejie Zhu , Omar Javed , Jingen Liu , Hui Cheng , Jayakrishnan Eledath
IPC: G06K9/00
Abstract: A system for object detection and tracking includes technologies to, among other things, detect and track moving objects, such as pedestrians and/or vehicles, in a real-world environment, handle static and dynamic occlusions, and continue tracking moving objects across the fields of view of multiple different cameras.
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Patent Agency Ranking
公开(公告)号：US10068024B2
公开(公告)日：2018-09-04
申请号：US14974871
申请日：2015-12-18
Applicant: SRI International
Inventor： Harpreet Singh Sawhney , Jayakrishnan Eledath , Ajay Divakaran , Mayank Bansal , Hui Cheng
Abstract: Methods and apparatuses of the present invention generally relate to generating actionable data based on multimodal data from unsynchronized data sources. In an exemplary embodiment, the method comprises receiving multimodal data from one or more unsynchronized data sources, extracting concepts from the multimodal data, the concepts comprising at least one of objects, actions, scenes and emotions, indexing the concepts for searchability; and generating actionable data based on the concepts.
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公开(公告)号：US20180189573A1
公开(公告)日：2018-07-05
申请号：US15905937
申请日：2018-02-27
Applicant: SRI International
Inventor： Ajay Divakaran , Qian Yu , Amir Tamrakar , Harpreet Singh Sawhney , Jiejie Zhu , Omar Javed , Jingen Liu , Hui Cheng , Jayakrishnan Eledath
IPC: G06K9/00
CPC classification number: G06K9/00771
Abstract: A system for object detection and tracking includes technologies to, among other things, detect and track moving objects, such as pedestrians and/or vehicles, in a real-world environment, handle static and dynamic occlusions, and continue tracking moving objects across the fields of view of multiple different cameras.
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公开(公告)号：US09977972B2
公开(公告)日：2018-05-22
申请号：US14519927
申请日：2014-10-21
Applicant: SRI International
Inventor： Saad Masood Khan , Hui Cheng , Dennis Lee Matthies , Harpreet Singh Sawhney , Sang-Hack Jung , Chris Broaddus , Bogdan Calin Mihai Matei , Ajay Divakaran
CPC classification number: G06K9/00785 , B64C39/024 , B64C2201/123 , B64D47/08 , G06K9/00651 , G06K9/4671 , G06K9/6269 , G06K9/6282 , G06T7/11 , G06T7/20 , G06T2207/10012
Abstract: A computer implemented method for determining a vehicle type of a vehicle detected in an image is disclosed. An image having a detected vehicle is received. A number of vehicle models having salient feature points is projected on the detected vehicle. A first set of features derived from each of the salient feature locations of the vehicle models is compared to a second set of features derived from corresponding salient feature locations of the detected vehicle to form a set of positive match scores (p-scores) and a set of negative match scores (n-scores). The detected vehicle is classified as one of the vehicle models based at least in part on the set of p-scores and the set of n-scores.
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公开(公告)号：US09904852B2
公开(公告)日：2018-02-27
申请号：US14286305
申请日：2014-05-23
Applicant: SRI International
Inventor： Ajay Divakaran , Qian Yu , Amir Tamrakar , Harpreet Singh Sawhney , Jiejie Zhu , Omar Javed , Jingen Liu , Hui Cheng , Jayakrishnan Eledath
IPC: G06K9/00
CPC classification number: G06K9/00771
Abstract: A system for object detection and tracking includes technologies to, among other things, detect and track moving objects, such as pedestrians and/or vehicles, in a real-world environment, handle static and dynamic occlusions, and continue tracking moving objects across the fields of view of multiple different cameras.
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公开(公告)号：US20170065888A1
公开(公告)日：2017-03-09
申请号：US14984999
申请日：2015-12-30
Applicant: SRI International
Inventor： Hui Cheng
IPC: A63F13/497
CPC classification number: A63F13/497 , A63F2300/634
Abstract: The present invention extends to methods, systems, and computer program products for identifying and extracting game video highlights. Game highlights are identified and extracted from game video recorded or streamed from video games. Game highlights are created by identifying low-level features in a game video. Then, game concepts are detected based on identified low-level features. A game concept space is created for different types of game concepts. One or more highlights are generated using the concept space based on game knowledge and/or user preference. Multiple highlights can be fused together into a compilation of highlights.
Abstract translation: 本发明扩展到用于识别和提取游戏视频亮点的方法，系统和计算机程序产品。 从视频游戏记录或流式传输的游戏视频中识别和提取游戏亮点。 游戏亮点是通过识别游戏视频中的低级功能创建的。 然后，基于识别的低级特征来检测游戏概念。 为不同类型的游戏概念创建游戏概念空间。 使用基于游戏知识和/或用户偏好的概念空间生成一个或多个亮点。 多个亮点可以融合在一起，汇集亮点。
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