MANIPULATION OF MEDIA CONTENT TO OVERCOME USER IMPAIRMENTS

    公开(公告)号:US20200035125A1

    公开(公告)日:2020-01-30

    申请号:US16596289

    申请日:2019-10-08

    Abstract: A system, process and software that incorporate the subject disclosure may include, for example, identifying a condition that causes an impaired perception of an original media content item during a presentation. A media content modification is determined, wherein application of the media content modification to the original media content item results in a modified media content item. The modified media content item, when presented to the media presentation device, ameliorates the impaired perception of the media content item. The media content modification is applied to the original media content item resulting in the modified media content item. The modified media content item is presented at the media presentation device contemporaneously with the original media content item, allowing different viewers to observe the modified media content item simultaneously with the original. Other embodiments are disclosed.

    NETWORK-CONTROLLABLE PHYSICAL RESOURCES FOR SENSORY SERVICE

    公开(公告)号:US20190388794A1

    公开(公告)日:2019-12-26

    申请号:US16015998

    申请日:2018-06-22

    Abstract: Methods, computer-readable media, and apparatuses for adjusting a network-controllable physical resource of a sensory service in response to biometric data for a group of users are disclosed. In one example, a processing system including at least one processor may gather biometric data of each user of a group of users of a sensory service. The sensory service may comprise at least one network-controllable physical resource. The processing system may then aggregate the biometric data for the group of users and tailor the sensory service for the group of users based upon the biometric data for the group of users that is aggregated. In one example, the tailoring of the sensory service may include adjusting the at least one network-controllable physical resource in response to the biometric data that is aggregated for the group of users.

    METHODS, SYSTEMS AND ALGORITHMS FOR PROVIDING ANONYMIZATION

    公开(公告)号:US20190325161A1

    公开(公告)日:2019-10-24

    申请号:US15958131

    申请日:2018-04-20

    Abstract: Aspects of the subject disclosure may include, for example, embodiments for providing anonymization. The anonymization can be provided such as to implement, for example, privacy as a service. The anonymization can be directed to emails, web activity (e.g., searching, viewing), browser history, telephone calls and/or physical mail. Mechanisms can be provided via which publication (e.g., online publication; publication in the form of information or data (such as marketing data)) of certain likes/dislikes that a person has can be controlled (e.g., certain likes/dislikes can be prohibited from being made public; certain likes/dislikes can be prohibited from being sold as marketing data; certain likes/dislikes can be allowed to be made public; certain likes/dislikes can be allowed to be sold as marketing data). Other embodiments are disclosed.

    OBJECT MODELING WITH ADVERSARIAL LEARNING
    106.
    发明申请

    公开(公告)号:US20190155284A1

    公开(公告)日:2019-05-23

    申请号:US15818495

    申请日:2017-11-20

    Abstract: Methods, computer-readable media, and devices are disclosed for improving an object model based upon measurements of physical properties of an object via an unmanned vehicle using adversarial examples. For example, a method may include a processing system capturing measurements of physical properties of an object via at least one unmanned vehicle, updating an object model for the object to include the measurements of the physical properties of the object, where the object model is associated with a feature space, and generating an example from the feature space, where the example comprises an adversarial example. The processing system may further apply the object model to the example to generate a prediction, capture additional measurements of the physical properties of the object via the at least one unmanned vehicle when the prediction fails to identify that the example is an adversarial example, and update the object model to include the additional measurements.

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