Learning iconic scenes and places with privacy

    公开(公告)号:US12243308B2

    公开(公告)日:2025-03-04

    申请号:US17658474

    申请日:2022-04-08

    Applicant: Apple Inc.

    Abstract: Devices, methods, and non-transitory program storage devices (NPSDs) are disclosed herein to provide for the privacy-respectful learning of iconic scenes and places, wherein the learning is based on information received from one or more client devices in response to one or more collection criteria specified as part of one or more collection operations launched by a server device. In some embodiments, differential privacy techniques (such as the submission of predetermined amounts of noise-injecting, e.g., randomly-generated, data in conjunction with actual data) are employed by the client devices, such that any insights learned by the server device only relate to “hot spots,” “themes,” or other scenes, objects, and/or topics that are highly popular and captured in the digital assets (DAs) of many users, ensuring there is no way for the server device to learn or glean any insights related to particular users of individual client devices participating in the collection operations.

    Music selections for personal media compositions

    公开(公告)号:US10909999B2

    公开(公告)日:2021-02-02

    申请号:US16750357

    申请日:2020-01-23

    Applicant: Apple Inc.

    Abstract: In some implementations, a computing device can generate personalized music selections to associate with any collections of visual media (e.g., photos and videos) stored on the computing device. A user may prefer particular genres of music and listen to some genres more frequently than others. The computing device can create measures of the user's genre preferences and use these measures to select music that is preferred by the user and music that may be significant or relevant to the particular collection of visual media. The computing device may also determine music that was being played when and where the visual media were being created. The computing device may store the visual media and music items in association with each other. The computing device may generate composite media items that combine the visual media and music items. When the visual media are viewed, the selected music item is also played.

    Viewable frame identification
    5.
    发明授权
    Viewable frame identification 有权
    可视框架识别

    公开(公告)号:US09489104B2

    公开(公告)日:2016-11-08

    申请号:US14080591

    申请日:2013-11-14

    Applicant: Apple Inc.

    CPC classification number: G06F3/0481 G06F3/0482 G06F3/0485

    Abstract: A set of media items may be matched with a media arrangement that displays the media items in the set in a group of frames. The media arrangement may extend across an area larger than a viewable area of a display device. In order to determine the media items that appear within a viewable area, a list of media items may be divided into two portions, one on either side of a middle item in the list. If any part of a frame with which the middle item is associated is within an extended spatial area that extends beyond the viewable area, the middle item may be eliminated from the list, when no part of the frame with which the middle item is associated is within the extended area. The process may be repeated until it is determined that a part of a frame with which the middle item is associated is within the extended area.

    Abstract translation: 一组媒体项目可以与在一组帧中显示集合中的媒体项目的媒体配置相匹配。 媒体布置可以延伸超过显示设备的可视区域的区域。 为了确定出现在可视区域内的媒体项目,媒体项目的列表可以被分成两部分,一个在列表中的中间项目的两侧。 如果与中间项目相关联的框架的任何部分在延伸超出可视区域的扩展空间区域内,则当没有与中间项目相关联的框架的部分没有时,中间项目可以从列表中删除 在扩展区域内。 可以重复该过程,直到确定与中间项目相关联的框架的一部分在扩展区域内。

    Efficient Progressive Loading Of Media Items
    6.
    发明申请
    Efficient Progressive Loading Of Media Items 审中-公开
    媒体项目的有效进步加载

    公开(公告)号:US20150254806A1

    公开(公告)日:2015-09-10

    申请号:US14200716

    申请日:2014-03-07

    Applicant: Apple Inc.

    Abstract: A set of media items may be matched with a media arrangement that displays the media items in the set in a group of frames having various sizes and positions. The media arrangement may extend across an area that is larger than a viewable area of a display device on which the media arrangement is displayed. A user may adjust (e.g., scroll) the viewable portion of the media arrangement. Because the media arrangement may include a large number of media items, it may not be feasible or possible to retrieve and load all of the media items into media frames in advance. Thus, a method and system may be used to progressively load media items into media frames for the viewable area and to pre-fetch media items for areas of the media arrangement that may be displayed after the current viewable area.

    Abstract translation: 一组媒体项目可以与在具有各种大小和位置的一组帧中显示集合中的媒体项目的媒体配置相匹配。 媒体布置可以延伸跨越显示设备的显示设备的可见区域的区域,在该区域上显示介质布置。 用户可以调整(例如,滚动)媒体装置的可视部分。 由于媒体配置可能包含大量的媒体项目,所以提前将所有媒体项目检索和加载到媒体帧中可能是不可行或不可能的。 因此,可以使用方法和系统逐渐地将媒体项目加载到用于可视区域的媒体帧中,并且可以为可在当前可视区域之后显示的媒体配置的区域预取媒体项目。

    Behavioral curation of media assets

    公开(公告)号:US11604818B2

    公开(公告)日:2023-03-14

    申请号:US16560159

    申请日:2019-09-04

    Applicant: Apple Inc.

    Abstract: In some implementations, a computing device may create a semantic mapping that includes identified features that appear in a particular percentage of assets in a subset of assets of a media library. Also, the computing device may analyze assets of the media library using the semantic mapping to generate semantic scores, which may be used to determine a first tier of assets from the media library that rate highest for semantic score out of all assets. The computing device may present at least one of the first tier assets prominently in a user interface when viewing assets of the media library.

    Automatic Digital Asset Sharing Suggestions
    10.
    发明申请

    公开(公告)号:US20190340529A1

    公开(公告)日:2019-11-07

    申请号:US16142868

    申请日:2018-09-26

    Applicant: Apple Inc.

    Abstract: Techniques of digital asset management (DAM) are described. A DAM system can obtain a knowledge graph metadata network describing relationships between metadata associated with a user's collection of digital assets (DAs), e.g., images, videos, music, etc. Based on information obtained, e.g., from the user's DA collection and/or the knowledge graph metadata network, the DAM system may provide users with more intelligent (and automated) DA sharing suggestions that are as relevant as possible for a given context. In some embodiments, the sharing suggestions may be based on one or more DAs recently shared with the user from a third party. In other embodiments, a proactive sharing suggestion may be presented to a user based on a detected indication of an intent to share DAs, e.g., based on the extraction of relevant features from an incoming message from a third party (or an outgoing message from the user to a third party).

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