CREATING A BLURRED AREA FOR AN IMAGE TO REUSE FOR MINIMIZING BLUR OPERATIONS

    公开(公告)号:US20180300859A1

    公开(公告)日:2018-10-18

    申请号:US15955043

    申请日:2018-04-17

    Applicant: Splunk Inc.

    CPC classification number: G06T5/002 G06T11/60 G06T2207/20012

    Abstract: A processing device receives input representing a selection of a first area of a source image. The processing device sends a request to a server machine for a result image that corresponds to the source image. The processing device, responsive to determining that the server machine does not have the result image, creates a blurred area for the first area, the blurred area corresponding to a portion of the image that contains the first area. The portion of the image having a size that is greater than an aggregate size of the first area and less than the size of the image. The processing device also sends the blurred area to the server machine for storage of the blurred area as the result image. The processing device replaces the first area with the corresponding portion of the blurred area without blurring a remaining area of the image.

    Displaying Interactive Topology Maps Of Cloud Computing Resources

    公开(公告)号:US20170093645A1

    公开(公告)日:2017-03-30

    申请号:US14902848

    申请日:2015-09-21

    Applicant: Splunk Inc.

    Abstract: Techniques and mechanisms are disclosed that enable collection of various types of data from cloud computing services and the generation of various dashboards and visualizations to view information about collections of cloud computing resources. A user can configure collection of data from one or more cloud computing services and view visualizations using an application platform referred to herein as a cloud computing management application. A cloud computing management application further may be configured to generate and cause display of interactive topology map representations of cloud computing resources based on the collected data, where an interactive topology map enables users to view an intuitive visualization of a collection of computing resources, efficiently cause performance of actions with respect to various resources displayed in the topology map, and analyze the collection of resources in ways that are not possible using conventional cloud computing service management consoles.

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