INTELLIGENT SELECTION OF IMAGES TO CREATE IMAGE NARRATIVES

    公开(公告)号:US20190220483A1

    公开(公告)日:2019-07-18

    申请号:US16363955

    申请日:2019-03-25

    CPC classification number: G06F16/5866 G06F16/4393 G06F16/9535 G06K9/00288

    Abstract: Images are intelligently selected to create image narratives. Instead of a user having to manually search and locate images to view, the images to associate with a particular image narrative are programmatically determined. Many different types of image narratives may be created. For example, one image narrative may show images that include both a first user and a second user over some period of time. Another image narrative may show images that relate to an activity that a first user enjoys or an event that included the user (e.g., a graduation). The tags and metadata associated with the images of the user are analyzed to determine the tags that are important to the user. For example, the importance might be determined based on the frequency of the tags within the images. After creation, the user may select one of the image narratives to view the associated images.

    Intelligent selection of images to create image narratives

    公开(公告)号:US11308155B2

    公开(公告)日:2022-04-19

    申请号:US16363955

    申请日:2019-03-25

    Abstract: Images are intelligently selected to create image narratives. Instead of a user having to manually search and locate images to view, the images to associate with a particular image narrative are programmatically determined. Many different types of image narratives may be created. For example, one image narrative may show images that include both a first user and a second user over some period of time. Another image narrative may show images that relate to an activity that a first user enjoys or an event that included the user (e.g., a graduation). The tags and metadata associated with the images of the user are analyzed to determine the tags that are important to the user. For example, the importance might be determined based on the frequency of the tags within the images. After creation, the user may select one of the image narratives to view the associated images.

    SYSTEM, METHOD AND APPARATUS FOR ORGANIZING PHOTOGRAPHS STORED ON A MOBILE COMPUTING DEVICE

    公开(公告)号:US20180107660A1

    公开(公告)日:2018-04-19

    申请号:US14316905

    申请日:2014-06-27

    CPC classification number: G06F16/51 G06F16/10 G06F16/284 G06F16/58 G06F16/5854

    Abstract: An image organizing system for organizing and retrieving images from an image repository residing on a mobile device is disclosed. The image organizing system includes a mobile computing device including an image repository. The mobile computing device is adapted to produce a small-scale model from an image in the image repository including an indicia of the image from which the small-scale model was produced. In one embodiment the small-scale model is then transmitted from the mobile computing device to a cloud computing platform including recognition software that produces a list of tags describing the image, which are then transmitted back to the mobile computing device. The tags then form an organization system. Alternatively, the image recognition software can reside on the mobile computing device, so that no cloud computing platform is required.

    Intelligent selection of images to create image narratives

    公开(公告)号:US10242034B1

    公开(公告)日:2019-03-26

    申请号:US14980775

    申请日:2015-12-28

    Abstract: Images are intelligently selected to create image narratives. Instead of a user having to manually search and locate images to view, the images to associate with a particular image narrative are programmatically determined. Many different types of image narratives may be created. For example, one image narrative may show images that include both a first user and a second user over some period of time. Another image narrative may show images that relate to an activity that a first user enjoys or an event that included the user (e.g., a graduation). The tags and metadata associated with the images of the user are analyzed to determine the tags that are important to the user. For example, the importance might be determined based on the frequency of the tags within the images. After creation, the user may select one of the image narratives to view the associated images.

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