Method and home appliance device for generating time-lapse video

    公开(公告)号:US12041384B2

    公开(公告)日:2024-07-16

    申请号:US18093133

    申请日:2023-01-04

    Abstract: A method of generating a time-lapse video includes: identifying an image storage mode; obtaining a first image; based on identifying that the image storage mode is an emphasis mode for emphasizing one or more images, obtaining a first time difference between the first image and a stored image, and a first feature value indicating a first amount of change between the first image and the stored image; for each respective image of a first plurality of images of a first image group stored in a memory, identifying a second image from among the first plurality of images, based on a second time difference and a second feature value; generating a second image group by removing the second image from the first image group and adding the first image to the first image group; and generating the time-lapse video by using a second plurality of images of the second image group.

    METHOD AND SYSTEM FOR PROVIDING PERSONALIZATION SERVICE BASED ON PERSONAL TENDENCY
    2.
    发明申请
    METHOD AND SYSTEM FOR PROVIDING PERSONALIZATION SERVICE BASED ON PERSONAL TENDENCY 审中-公开
    基于个人趋势提供个人化服务的方法和系统

    公开(公告)号:US20130086082A1

    公开(公告)日:2013-04-04

    申请号:US13630493

    申请日:2012-09-28

    CPC classification number: G06F16/9535

    Abstract: A personalization recommendation service providing method and system, based on a personal tendency provides a personally targeted recommendation list by re-ranking a candidate recommendation list obtained through a predetermined recommendation technique, by acquiring a user tendency profile and the candidate recommendation list, re-ranking the candidate recommendation list according to the user tendency profile, and generating the targeted recommendation list based on recommendation contents by the re-ranking of the candidate recommendation list.

    Abstract translation: 基于个人倾向的个性化推荐服务提供方法和系统通过对通过预定推荐技术获得的候选推荐列表进行重新排序,通过获取用户趋势简档和候选推荐列表来重新排列来提供个人目标推荐列表,重新排列 根据用户倾向简档的候选推荐列表,并且通过候选推荐列表的重新排列,基于推荐内容生成目标推荐列表。

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