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Altering device capture settings through user feedback

專利號
US11178336B1
公開日期
2021-11-16
申請人
INTERNATIONAL BUSINESS MACHINES CORPORATION(US NY Armonk)
發(fā)明人
Sarbajit K. Rakshit; Zachary A. Silverstein; Robert Huntington Grant; Jose Luis Alejandro Villegas Palencia
IPC分類
H04N5/222; H04N5/232
技術(shù)領(lǐng)域
capture,110b,110a,photograph,user,setting,program,or,may,cloud
地域: NY NY Armonk

摘要

An embodiment for photographic capture setting modification is provided. The embodiment may include capturing user feedback of a photograph. The embodiment may include identifying user preferences for one or more device parameters based on image recognition and machine learning of the photograph and the captured user feedback, respectively. The embodiment may further include generating a corpus. The embodiment may also include, in response to determining a user is preparing to capture a photograph, deriving one or more viewfinder tags for a scene currently within a viewfinder of a capture device. The embodiment may further include identifying one or more device parameters based on a matching of the one or more derived viewfinder tags and the one or more contextual tags. The embodiment may also include, in response to determining current user settings of the one or more identified device parameters do not match the identified user preferences, performing an action.

說明書

On-demand self-service: a cloud consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with the service's provider.

Broad network access: capabilities are available over a network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling: the provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to demand. There is a sense of location independence in that the consumer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter).

Rapid elasticity: capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time.

Measured service: cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service.

Service Models are as follows:

權(quán)利要求

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