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    Automated selection of keeper images from a burst photo captured set
    3.
    发明专利
    Automated selection of keeper images from a burst photo captured set 未知

    公开(公告)号：AU2014315547A1

    公开(公告)日：2016-03-17

    申请号：AU2014315547

    申请日：2014-08-27

    Applicant: APPLE INC

    Inventor： KEATING BRETT ,  WONG VINCENT ,  SACHS TODD ,  MOLGAARD CLAUS ,  ROUSSON MICHAEL ,  HARRIS ELLIOTT ,  TITI JUSTIN ,  HSU KARL ,  BRASKET JEFF ,  ZULIANI MARCO

    IPC: H04N5/232 ,  H04N1/21

    Abstract: Systems and methods for improving automatic selection of keeper images from a commonly captured set of images are described. A combination of image type identification and image quality metrics may be used to identify one or more images in the set as keeper images. Image type identification may be used to categorize the captured images into, for example, three or more categories. The categories may include portrait, action, or "other." Depending on the category identified, the images may be analyzed differently to identify keeper images. For portrait images, an operation may be used to identify the best set of faces. For action images, the set may be divided into sections such that keeper images selected from each section tell the story of the action. For the "other" category, the images may be analyzed such that those having higher quality metrics for an identified region of interest are selected.

    Automated selection of keeper images from a burst photo captured set
    6.
    发明专利
    Automated selection of keeper images from a burst photo captured set 未知

    公开(公告)号：AU2017261537B2

    公开(公告)日：2019-10-03

    申请号：AU2017261537

    申请日：2017-11-15

    Applicant: APPLE INC

    Inventor： KEATING BRETT ,  WONG VINCENT ,  SACHS TODD ,  MOLGAARD CLAUS ,  ROUSSON MICHAEL ,  HARRIS ELLIOTT ,  TITI JUSTIN ,  HSU KARL ,  BRASKET JEFF ,  ZULIANI MARCO

    IPC: H04N5/232 ,  H04N1/21

    Abstract: Abstract Systems and methods for improving automatic selection of keeper images from a commonly captured set of images are described. A combination of image type identification and image quality metrics may be used to identify one or more images in the set as keeper images. Image type identification may be used to categorize the captured images into, for example, three or more categories. The categories may include portrait, action, or "other." Depending on the category identified, the images may be analyzed differently to identify keeper images. For portrait images, an operation may be used to identify the best set of faces. For action images, the set may be divided into sections such that keeper images selected from each section tell the story of the action. For the "other" category, the images may be analyzed such that those having higher quality metrics for an identified region of interest are selected.

    Automated selection of keeper images from a burst photo captured set
    10.
    发明专利
    Automated selection of keeper images from a burst photo captured set 未知

    公开(公告)号：AU2017261537A1

    公开(公告)日：2017-12-07

    申请号：AU2017261537

    申请日：2017-11-15

    Applicant: APPLE INC

    Inventor： KEATING BRETT ,  WONG VINCENT ,  SACHS TODD ,  MOLGAARD CLAUS ,  ROUSSON MICHAEL ,  HARRIS ELLIOTT ,  TITI JUSTIN ,  HSU KARL ,  BRASKET JEFF ,  ZULIANI MARCO

    IPC: H04N5/232 ,  H04N1/21

    Abstract: Abstract Systems and methods for improving automatic selection of keeper images from a commonly captured set of images are described. A combination of image type identification and image quality metrics may be used to identify one or more images in the set as keeper images. Image type identification may be used to categorize the captured images into, for example, three or more categories. The categories may include portrait, action, or "other." Depending on the category identified, the images may be analyzed differently to identify keeper images. For portrait images, an operation may be used to identify the best set of faces. For action images, the set may be divided into sections such that keeper images selected from each section tell the story of the action. For the "other" category, the images may be analyzed such that those having higher quality metrics for an identified region of interest are selected.

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