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    Multi-Source Media Aggregation
    21.
    发明申请
    Multi-Source Media Aggregation 审中-公开
    多源媒体聚合

    公开(公告)号：US20150134661A1

    公开(公告)日：2015-05-14

    申请号：US14080553

    申请日：2013-11-14

    Applicant: Apple Inc.

    Inventor： Eric Circlaeys ,  Kjell Bronder ,  Ralf Weber

    IPC: G06F17/30

    CPC classification number: G06F16/438

    Abstract: A user interface to match a requested set of media items for display in a media item arrangement requires an efficient method of obtaining properties of the requested media items. The requested media items may span across multiple connected sources and be associated with multiple users. A first cache layer of a multi-layer cache system stores a flat representation of metadata items corresponding to media items available from connected sources. A second cache layer stores compiles metadata items from the first cache layer into sets of metadata items for various media item groupings. A third cache layer compiles sets of metadata items from the second cache layer into ordered sets of metadata items. The ordered sets of metadata items may be used to identify an appropriate media item arrangement in which to display the associated media items.

    Abstract translation: 用于匹配要在媒体项目布置中显示的所请求的媒体项集合的用户界面需要获得所请求的媒体项目的属性的有效方法。 所请求的媒体项目可以跨越多个连接的源并且与多个用户相关联。 多层缓存系统的第一高速缓存层存储对应于可从连接源获得的媒体项目的元数据项的平面表示。 第二缓存层将编译的元数据项从第一高速缓存层存储为用于各种媒体项目分组的元数据项集合。 第三缓存层将来自第二高速缓存层的元数据项集合成有序集的元数据项。 可以使用有序的元数据集合来标识在其中显示相关联的媒体项目的适当媒体项目排列。

    RETRIEVAL, IDENTIFICATION, AND PRESENTATION OF MEDIA
    22.
    发明申请
    RETRIEVAL, IDENTIFICATION, AND PRESENTATION OF MEDIA 审中-公开
    媒体的检索，识别和陈述

    公开(公告)号：US20140282099A1

    公开(公告)日：2014-09-18

    申请号：US13891467

    申请日：2013-05-10

    Applicant: Apple Inc.

    Inventor： Kjell F. Bronder ,  Eric Circlaeys ,  Ralf Weber ,  Jason Wilson

    IPC: H04L29/06

    CPC classification number: H04L65/4084 ,  G06F16/54 ,  G06F16/904 ,  G06Q50/01 ,  H04L63/083 ,  H04L67/2838 ,  H04L67/289

    Abstract: Techniques are provided for concurrently displaying a plurality of media items from different sources, such as different computing devices of a user or social network providers with which the user has an account or with which the user has a social connection to an account. Media items may include digital images, video, text, and executables, or icons thereof. The media items may be analyzed to identify one or more different sets of media items, each set being associated with different criteria. Example criteria include a particular time range, a particular person, and a particular location. Once a set of media items is identified, each media item in the set is assigned to a group based on grouping criteria and displayed based on the group to which the media item belongs.

    Abstract translation: 提供了用于同时显示来自不同来源的多个媒体项目的技术，诸如用户具有帐户的用户或社交网络提供商的不同计算设备，或者与用户具有与帐户的社交连接。 媒体项目可以包括数字图像，视频，文本和可执行文件，或其图标。 可以分析媒体项目以识别一个或多个不同的媒体项集合，每个集合与不同的标准相关联。 示例标准包括特定时间范围，特定人和特定位置。 一旦识别了一组媒体项目，则基于分组标准将集合中的每个媒体项目分配给组，并且基于媒体项目所属的组来显示。

    Learning Iconic Scenes and Places with Privacy
    25.
    发明申请
    Learning Iconic Scenes and Places with Privacy 有权

    公开(公告)号：US20220392219A1

    公开(公告)日：2022-12-08

    申请号：US17658474

    申请日：2022-04-08

    Applicant: Apple Inc.

    Inventor： Michael Chatzidakis ,  Kalu O. Kalu ,  Omid Javidbakht ,  Sowmya Gopalan ,  Eric Circlaeys ,  Rehan Rishi ,  Mayank Yadav

    IPC: G06V20/00 ,  G06V20/50 ,  G06F16/906 ,  G06F16/908

    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.

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