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公开(公告)号:US20200162799A1
公开(公告)日:2020-05-21
申请号:US16752641
申请日:2020-01-25
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Michele Merler , Dhiraj Joshi , Quoc-Bao Nguyen , Stephen C. Hammer , John Joseph Kent , John R. Smith , Rogerio Feris
IPC: H04N21/8549 , G06N20/00 , H04N21/44 , G06K9/00 , H04N21/442 , H04N21/466 , H04N21/431 , H04N21/439 , G06N3/04 , G06N3/08
Abstract: A method and system for auto-curating a media are provided. Media content is received over the network interface. A set of markers is identified for the media content, each marker corresponding to one of a plurality of visible and audible cues in the media content. Segments in the media content are identified based on the identified set of markers. An excitement score is computed for each segment based on the identified markers that fall within the segment. A highlight clip is generated by identifying segments having excitement scores greater than a threshold.
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公开(公告)号:US20190333520A1
公开(公告)日:2019-10-31
申请号:US15966122
申请日:2018-04-30
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: JEFF AMSTERDAM , Aaron K. Baughman , Stephen C. Hammer , David A, Provan
Abstract: Aspects of the present invention provide devices that subtitle streaming video with audio and identify a speaker in a streaming video with audio according to words spoken by the speaker matched to a cognitive print. The cognitive print includes traits classified according a hierarchical long short term model (LSTM). The hierarchical LSTM includes layers of LSTMs and each layer corresponds to the classification of one trait. A processor annotates a subtitle of the words spoken by the speaker, which decorates the subtitle with a label representative of the identified speaker, and streams the decorated subtitle with the streaming video with audio.
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公开(公告)号:US20180285753A1
公开(公告)日:2018-10-04
申请号:US15471684
申请日:2017-03-28
Applicant: International Business Machines Corporation
Inventor: Aaron K. Baughman , Gray F. Cannon , Stephen C. Hammer , Craig M. Trim
IPC: G06N5/04
Abstract: A hierarchy of agents is constructed from a set of agents. Each agent in the hierarchy is trained to answer a question according to a corresponding corpus associated with the agent, which contains a portion of knowledge about a subject-matter. The question is submitted to a first subset of agents, the agents in the first subset occupying a first level in the hierarchy. From a first agent in the first subset, a first answer is propagated to a second agent in a second subset of agents, the first agent computing the first answer using a first portion of knowledge about the subject-matter. to form a first morphed answer, a second answer is added to the first answer, the second answer being computed by the second agent using a second portion of knowledge about the subject-matter. The morphed answer is produced in response to the question.
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公开(公告)号:US20240062169A1
公开(公告)日:2024-02-22
申请号:US17820992
申请日:2022-08-19
Applicant: International Business Machines Corporation
Inventor: Aaron K. Baughman , Sara Perelman , Stephen C. Hammer
CPC classification number: G06Q20/065 , G06Q40/04 , H04L9/50 , H04L2209/56
Abstract: A computer-implemented method includes generating several crypto tokens, each token includes a content portion that is encrypted. For each pair of tokens, a first token and a second token, in response to a correlation score between content portions of the first token and the second token exceeding a predetermined correlation threshold, creating a grid link between the first token and the second token. The tokens are added into a ledger. A group of tokens is created, based on a similarity score. A series of forecasting equations is distributed to the group of tokens. A forecast reveal rate is generated based on the series of forecasting equations, and in response to the forecast reveal rate meeting a forecast threshold, a key is generated for revealing at least one content portions embedded in the group of tokens. The key is released to decrypt the at least one content portion.
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公开(公告)号:US11830241B2
公开(公告)日:2023-11-28
申请号:US16752641
申请日:2020-01-25
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Michele Merler , Dhiraj Joshi , Quoc-Bao Nguyen , Stephen C. Hammer , John Joseph Kent , John R. Smith , Rogerio Feris
IPC: H04N21/233 , H04N21/234 , H04N21/25 , G06N20/10 , G06V10/82 , H04N21/8549 , G06N3/08 , G06N3/04 , H04N21/439 , H04N21/431 , H04N21/466 , H04N21/442 , H04N21/44 , G06N20/00 , G06V20/40 , G06V40/16 , G06V30/19 , G06V30/10
CPC classification number: G06V10/82 , G06N3/04 , G06N3/08 , G06N20/00 , G06V20/46 , G06V30/19173 , G06V40/16 , G06V40/172 , H04N21/439 , H04N21/4312 , H04N21/44 , H04N21/442 , H04N21/466 , H04N21/8549 , G06V30/10
Abstract: A method and system for auto-curating a media are provided. Media content is received over the network interface. A set of markers is identified for the media content, each marker corresponding to one of a plurality of visible and audible cues in the media content. Segments in the media content are identified based on the identified set of markers. An excitement score is computed for each segment based on the identified markers that fall within the segment. A highlight clip is generated by identifying segments having excitement scores greater than a threshold.
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公开(公告)号:US11521655B2
公开(公告)日:2022-12-06
申请号:US17033933
申请日:2020-09-28
Applicant: International Business Machines Corporation
Inventor: Aaron K. Baughman , Stephen C. Hammer , Gray Cannon
IPC: G11B27/036 , G06N3/08 , H04N21/25 , H04N21/234 , H04N21/8549 , H04N21/845 , G06K9/62 , G06V10/32 , G06V20/40
Abstract: Techniques for padding audiovisual clips (for example, audiovisual clips of sporting events) for the purpose of causing the clip to have a predetermined duration so that the padded clip can be evaluated for viewer interest by a machine learning (ML) algorithm. The unpadded clip is padded with audiovisual segment(s) that will cause the padded clip to have a level of viewer interest that it would have if the unpadded clip had been longer. In some embodiments the padded segments are synthetic images generated by a generative adversarial network such that the synthetic images would have the same level of viewer interest (as adjudged by an ML algorithm) as if the unpadded clip had been shot to be longer.
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公开(公告)号:US11200502B2
公开(公告)日:2021-12-14
申请号:US15933918
申请日:2018-03-23
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Aaron K. Baughman , Stephen C. Hammer , Joseph S. Mabry , John C. Newell
IPC: G06N20/00 , G06N5/04 , G06N3/08 , G06F16/9535 , G06Q50/00
Abstract: Devices and methods for modeling streaming data are disclosed. A method includes: receiving, by a computing device, a local graph model; determining, by the computing device, a subgraph in the local graph model; acquiring, by the computing device, an external graph model; determining, by the computing device, a plurality of alternative subgraphs in the external graph model; determining, by the computing device, a score for each of the plurality of alternative subgraphs; selecting, by the computing device, an alternative subgraph having a highest score among the plurality of alternative subgraphs; and ensembling, by the computing device, the local graph model and the alternative subgraph having the highest score.
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公开(公告)号:US11132060B2
公开(公告)日:2021-09-28
申请号:US16209179
申请日:2018-12-04
Applicant: International Business Machines Corporation
Inventor: Aaron K. Baughman , Aaron Cox , John Joseph Kent , Stephen C. Hammer
IPC: G06F3/0482 , G06F3/01 , G06K9/00 , G03H3/00
Abstract: In an embodiment, a method includes detecting a motion pattern in proximity to a first midair interface (MAI) device, the motion pattern being of a body part of a user. In an embodiment, the method includes converting the detected motion pattern to a simulated surface of an object projected from a shared MAI device, wherein the first MAI device and the shared MAI device each correspond to a different user. In an embodiment, the method includes causing a behavior change in the simulated surface being projected from the shared MAI device. An embodiment includes a computer usable program product. The computer usable program product includes a computer-readable storage device, and program instructions stored on the storage device.
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29.
公开(公告)号:US20210208943A1
公开(公告)日:2021-07-08
申请号:US16736449
申请日:2020-01-07
Applicant: International Business Machines Corporation
Inventor: Aaron K. Baughman , Stephen C. Hammer , Gray Cannon , Shikhar Kwatra
Abstract: Distributing computation workload among computing nodes of differing computing paradigms is provided. Compute gravity of each computing node in a cloud computing paradigm and each computing node in a client network computing paradigm within an Internet of Systems is calculated. Each component part of an algorithm is distributed to an appropriate computing node of the cloud computing paradigm and client network computing paradigm based on calculated compute gravity of each respective computing node within the Internet of Systems. Computation workload of each component part of the algorithm is distributed to a respective computing node of the cloud computing paradigm and the client network computing paradigm having a corresponding component part of the algorithm for processing.
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公开(公告)号:US20210089869A1
公开(公告)日:2021-03-25
申请号:US16582092
申请日:2019-09-25
Applicant: International Business Machines Corporation
Inventor: Aaron K. Baughman , Stephen C. Hammer , Gray Cannon , Shikhar Kwatra
Abstract: Provided is a method, a system, and a program product for determining a policy using semi-supervised reinforcement learning. The method includes observing a state of an environment by a learning agent. The method also includes taking an action by the learning agent. The method further includes observing a new state of the environment and calculating a reward for the action taken by the learning agent. The method also includes determining whether a policy related to the learning agent should be changed. The determination is conducted by a teaching agent that inputs the state of the environment and the reward as features. The method can also include changing the policy related to the learning agent upon a determination that a label outputted by the teaching agent exceeds a reward threshold.
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