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公开(公告)号：US20170300794A1
公开(公告)日：2017-10-19
申请号：US15130239
申请日：2016-04-15
Applicant: Cisco Technology, Inc.
Inventor： Robert Edward Liston , Wai-tian Tan , John George Apostolopoulos
CPC classification number: G02B27/32 , G06Q10/0833
Abstract: In one implementation, a method of tracking assets includes obtaining a first image in a first optical domain, where the first optical domain is characterized by a first frequency range. The method also includes detecting a tracking apparatus (e.g., a tag) within the first image in the first optical domain, where a first feature of the tracking apparatus serves as a beacon enabling optical discrimination of the tracking apparatus in the first frequency range. The method further includes determining information associated with the tracking apparatus based on the arrangement of a second feature of the tracking apparatus provided to convey a data set associated with the tracking apparatus.
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12.发明授权公开(公告)号：US10673580B2
公开(公告)日：2020-06-02
申请号：US15366814
申请日：2016-12-01
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Michael A. Ramalho , Jon M. Snyder , Kashyap Kodanda Ram Kambhatla , Pal-Erik Martinsen , Wai-tian Tan , Paul Edwin Jones
Abstract: A method is described and in one embodiment includes receiving at a first node in a communications network a message associated with a first flow, wherein the message comprises a flow treatment attribute including metadata indicative of how the first flow should be treated in the network; analyzing the flow treatment attribute at the first node; setting policy for treatment of the flow in the network based on the analyzing; and forwarding the message to a next network node.
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13.发明申请公开(公告)号：US20190205749A1
公开(公告)日：2019-07-04
申请号：US15860307
申请日：2018-01-02
Applicant: Cisco Technology, Inc.
Inventor： Wai-tian Tan , Robert Edward Liston , Xiaoqing Zhu , Mehdi Nikkhah
Abstract: A network device that is configured to optimize network performance collects a training dataset representing one or more network device states. The network device trains a first model with the training dataset. The first model may be trained to generate one or more fabricated attributes of artificial network traffic through the network device. The network device trains a second model with the training dataset. The second model may be trained to generate a predictive experience metric that represents a predicted performance of an application program of a client device communicating traffic via the network. The network device generates the fabricated attributes based on the training of the first model. The network device generates the predictive experience metric based on the training of the second model and using the one or more fabricated attributes. The network device alters configurations of the network based on the predictive experience metric.
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14.发明申请公开(公告)号：US20180315431A1
公开(公告)日：2018-11-01
申请号：US15581104
申请日：2017-04-28
Applicant: Cisco Technology, Inc.
Inventor： Ahmed Badr , Ashish J. Khisti , Wai-tian Tan , Michael A. Ramalho , John G. Apostolopoulos
IPC: G10L19/005 , G10L15/02 , G10L21/02 , G10L25/84
CPC classification number: G10L19/005 , G10L15/08 , G10L25/84 , G10L25/93 , G10L2015/025 , H04L1/004 , H04L1/007 , H04L2001/0098
Abstract: An endpoint device receives a sequence of audio frames. The endpoint device determines for each audio frame a respective importance level among possible importance levels ranging from a low importance level to a high importance level based on content in the audio frame indicative of the respective importance level. The endpoint device associates each audio frame with the respective importance level, to produce different subsets of audio frames associated with respective ones of different importance levels. The endpoint device, for each subset of audio frames, applies forward error correction to a fraction of audio frames in the subset of audio frames, wherein the fraction increases as the importance level of the audio frames in the subset increases, and does not apply forward error correction to remaining audio frames in the subset.
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公开(公告)号：US20180204093A1
公开(公告)日：2018-07-19
申请号：US15409821
申请日：2017-01-19
Applicant: Cisco Technology, Inc.
Inventor： Xiaoqing Zhu , Rob Liston , John G. Apostolopoulos , Wai-tian Tan
CPC classification number: G06K9/6218 , G06F17/30256 , G06F17/3028 , G06K9/00295 , G06K9/00771 , G06K9/6215
Abstract: Presented herein are techniques for assignment of an identity to a group of captured images. A plurality of captured images that each include an image of at least one person are obtained. For each of the plurality of captured images, relational metrics indicating a relationship between the image of the person in a respective captured image and the images of the persons in each of the remaining plurality of captured images is calculated. Based on the relational metrics, a clustering process is performed to generate one or more clusters from the plurality of captured images. Each of the one or more clusters are associated with an identity of an identity database. The one or more clusters may each be associated with an existing identity of the identity database or an additional identity that is not yet present in the identity database.
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Patent Agency Ranking
16.发明授权公开(公告)号：US10354660B2
公开(公告)日：2019-07-16
申请号：US15581104
申请日：2017-04-28
Applicant: Cisco Technology, Inc.
Inventor： Ahmed Badr , Ashish J. Khisti , Wai-tian Tan , Michael A. Ramalho , John G. Apostolopoulos
Abstract: An endpoint device receives a sequence of audio frames. The endpoint device determines for each audio frame a respective importance level among possible importance levels ranging from a low importance level to a high importance level based on content in the audio frame indicative of the respective importance level. The endpoint device associates each audio frame with the respective importance level, to produce different subsets of audio frames associated with respective ones of different importance levels. The endpoint device, for each subset of audio frames, applies forward error correction to a fraction of audio frames in the subset of audio frames, wherein the fraction increases as the importance level of the audio frames in the subset increases, and does not apply forward error correction to remaining audio frames in the subset.
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公开(公告)号：US10333994B2
公开(公告)日：2019-06-25
申请号：US15347076
申请日：2016-11-09
Applicant: Cisco Technology, Inc.
Inventor： Wai-tian Tan , Herbert Michael Wildfeuer , Xiaoqing Zhu
IPC: H04L29/06 , H04W72/00 , H04W40/00 , H04L12/729 , H04L12/727 , H04L12/721 , H04L12/725 , H04L12/707 , H04W88/06 , H04W84/04 , H04W84/12
Abstract: In one embodiment, a method includes: determining a plurality of candidate paths for a plurality of media streams, where each of the candidate paths is characterized by a first set of performance attributes and each of the plurality of media streams is characterized by a set of stream parameters; jointly determining a respective path from among the plurality of candidate paths that satisfies the set of stream parameters for each of the plurality of the media streams; and coordinating transmission of the plurality of media streams via the jointly determined respective path for each of the plurality of media streams. According to some implementations, the method is performed by a device with one or more processors and non-transitory memory.
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公开(公告)号：US10275683B2
公开(公告)日：2019-04-30
申请号：US15409821
申请日：2017-01-19
Applicant: Cisco Technology, Inc.
Inventor： Xiaoqing Zhu , Rob Liston , John G. Apostolopoulos , Wai-tian Tan
Abstract: Presented herein are techniques for assignment of an identity to a group of captured images. A plurality of captured images that each include an image of at least one person are obtained. For each of the plurality of captured images, relational metrics indicating a relationship between the image of the person in a respective captured image and the images of the persons in each of the remaining plurality of captured images is calculated. Based on the relational metrics, a clustering process is performed to generate one or more clusters from the plurality of captured images. Each of the one or more clusters are associated with an identity of an identity database. The one or more clusters may each be associated with an existing identity of the identity database or an additional identity that is not yet present in the identity database.
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19.发明授权公开(公告)号：US10096123B2
公开(公告)日：2018-10-09
申请号：US15132679
申请日：2016-04-19
Applicant: Cisco Technology, Inc.
Inventor： Xiaoqing Zhu , Robert Edward Liston , Wai-tian Tan
Abstract: In one implementation, a method includes generating a set of candidate objects based at least in part on a set of image data, where the set of image data includes image data from a plurality of image sources. The method also includes generating a set of visual signatures, wherein each of the visual signatures in the set of visual signatures characterizes a candidate object in the set of candidate objects. The method further includes transforming at least two candidate objects in the set of candidate objects into a single object according to a determination that correspondence between visual signatures for the at least two candidate objects satisfies one or more correspondence criteria.
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公开(公告)号：US20180205394A1
公开(公告)日：2018-07-19
申请号：US15405587
申请日：2017-01-13
Applicant: Cisco Technology, Inc.
Inventor： Xiaoqing Zhu , Ahmed Badr , Wai-tian Tan , Ashish Khisti , John Apostolopoulos
CPC classification number: H03M13/2906 , H03M13/05 , H03M13/353 , H03M13/356 , H04L1/0014 , H04L1/0041 , H04L1/0058 , H04L1/007
Abstract: In various implementations, a method includes determining a sequence of source packets. In some implementations, the sequence of source packets satisfies a windowing condition. In various implementations, the method includes synthesizing a first set of one or more parity packets as a function of a first set of source packets in the sequence. In some implementations, the first set of source packets satisfies a first encoding pattern. In various implementations, the method includes synthesizing a second set of parity packets as a function of a second set of source packets in the sequence. In some implementations, the second set of source packets satisfies a second encoding pattern that is different from the first encoding pattern. In some implementations, the first and second encoding patterns characterize an encoding structure determined as a function of a channel characterization vector.
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