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    • 1. 发明授权
    • Method of indexing and searching feature vector space
    • 索引和搜索特征向量空间的方法
    • US06745205B2
    • 2004-06-01
    • US09794401
    • 2001-02-28
    • Yang-lim ChoiYoungsik HuhB. S. ManjunathShiv Chandrasekaran
    • Yang-lim ChoiYoungsik HuhB. S. ManjunathShiv Chandrasekaran
    • G06F1730
    • G06F17/30017G06F17/3061Y10S707/99933Y10S707/99945Y10S707/99948
    • A method of indexing a high-dimensional vector space, along with a method of quickly retrieving a feature vector having features similar to a query vector from the vector space indexed by the indexing method, are provided. The method of indexing a feature vector space includes the steps of (a) partitioning the feature vector space into a plurality of approximation regions; (b) selecting an arbitrary approximation region to determine whether the selected approximation region is heavily or sparsely distributed; and (c) if the approximation region is determined to be sparsely distributed, indexing the corresponding approximation region as one special node belonging to a child node of the tree data structure, together with any other sparsely distributed approximation region spaced apart by a distance less than a predetermined distance.
    • 提供了一种索引高维向量空间的方法,以及从由索引方法索引的向量空间中快速检索具有与查询向量类似的特征的特征向量的方法。 索引特征向量空间的方法包括以下步骤:(a)将特征向量空间分割成多个近似区域; (b)选择任意的近似区域以确定所选择的近似区域是否严重或稀疏地分布; 以及(c)如果确定近似区域是稀疏分布的,则将对应的近似区域作为属于树状数据结构的子节点的一个特殊节点与任何其它稀疏分布的近似区域一起分隔开距离小于 预定距离。
    • 2. 发明授权
    • Adaptive search method in feature vector space
    • 特征向量空间中的自适应搜索方法
    • US06910030B2
    • 2005-06-21
    • US09783149
    • 2001-02-15
    • Yang-lim ChoiYoungsik HuhB. S. ManjunathPeng Wu
    • Yang-lim ChoiYoungsik HuhB. S. ManjunathPeng Wu
    • G06F17/30
    • G06F17/30017Y10S707/99932Y10S707/99933Y10S707/99943Y10S707/99945
    • An adaptive search method in feature vector space which can quickly search the feature vector space indexed based on approximation for a feature vector having features similar to a query vector according to a varying distance measurement is provided. The adaptive search method includes the steps of (a) performing a similarity measurement on a given query vector within the feature vector space, and (b) applying search conditions limited by the result of the similar measurement obtained in the step (a) and performing a changed similarity measurement on the given query vector. According to the adaptive search method, the number of candidate approximation regions is reduced during a varying distance measurement such as an on-line retrieval, which improves the search speed.
    • 提供了一种特征向量空间中的自适应搜索方法,可以快速搜索根据具有与查询向量类似的特征向量的特征向量根据近似值索引的特征向量空间,该特征向量空间根据变化的距离测量。 自适应搜索方法包括以下步骤:(a)对特征向量空间内的给定查询向量执行相似度测量,以及(b)应用由步骤(a)中获得的类似测量结果限制的搜索条件,并执行 给定查询向量改变了相似性度量。 根据自适应搜索方法,在诸如在线检索的变化距离测量期间,候选近似区域的数量减少,这提高了搜索速度。
    • 4. 发明申请
    • Method, medium, and apparatus for summarizing a plurality of frames
    • 用于总结多个帧的方法,介质和装置
    • US20050180730A1
    • 2005-08-18
    • US11059600
    • 2005-02-17
    • Youngsik HuhJiyeun KimSangkyun KimDoosun Hwang
    • Youngsik HuhJiyeun KimSangkyun KimDoosun Hwang
    • H04N5/91G06F17/30G11B27/10G11B27/28G11B27/00
    • G11B27/10G11B27/28
    • A method, medium, and apparatus for summarizing a plurality of data. The method includes receiving a video stream and extracting a keyframe for each shot, selecting a predetermined number of representative frames from the keyframes corresponding to the shots, and outputting a frame summary using the representative frames. The apparatus includes a representative frame selector receiving a video stream and selecting representative frames, and a frame summary generator summarizing the video stream using the selected representative frames and outputting a frame summary and frame information. According to the method and apparatus, when a plurality of frames are summarized, the number of frames to be summarized can be selected, reliability of the user with respect to a frame summary can be higher, and various video summarization types can be provided according to a demand of a user.
    • 一种用于汇总多个数据的方法,介质和装置。 该方法包括接收视频流并提取每个镜头的关键帧,从与拍摄对应的关键帧中选择预定数量的代表帧,并使用代表帧输出帧概要。 该装置包括接收视频流并选择代表帧的代表帧选择器,以及使用所选择的代表帧来对视频流进行归一化并输出帧概要和帧信息的帧摘要生成器。 根据该方法和装置,当总结多个帧时,可以选择要总结的帧的数量,用户相对于帧概要的可靠性可以更高,并且可以根据以下提供各种视频摘要类型: 用户的需求。