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    Alignment and re-association of metadata for media streams within a computing device
    21.
    发明授权
    Alignment and re-association of metadata for media streams within a computing device 有权
    计算设备内媒体流元数据的对齐和重新关联

    公开(公告)号：US09075806B2

    公开(公告)日：2015-07-07

    申请号：US13402718

    申请日：2012-02-22

    申请人： Wenyu Jiang ,  Regunathan Radhakrishnan ,  Claus Bauer

    发明人： Wenyu Jiang ,  Regunathan Radhakrishnan ,  Claus Bauer

    IPC分类号： G06F17/00 ,  G06F17/30 ,  G06F3/16 ,  H03G3/30

    CPC分类号： G06F17/30743 ,  G06F3/16 ,  G06F17/30017 ,  G10L19/167 ,  H03G3/3005

    摘要： Techniques for re-associating dynamic metadata with media data are provided. A media processing system creates, with a first media processing stage, binding information comprising dynamic metadata and a time relationship between the dynamic metadata and media data. The binding information may be derived from the media data. While the first media processing stage delivers the media data to a second media processing stage in a first data path, the first media processing stage passes the binding information to the second media processing stage in a second data path. The media processing system re-associates, with the second media processing stage, the dynamic metadata and the media data using the binding information.

    摘要翻译： 提供了将动态元数据与媒体数据重新关联的技术。 媒体处理系统在第一媒体处理阶段创建包含动态元数据和动态元数据与媒体数据之间的时间关系的绑定信息。 可以从媒体数据导出绑定信息。 当第一媒体处理阶段将媒体数据传送到第一数据路径中的第二媒体处理阶段时，第一媒体处理阶段将绑定信息传递到第二数据路径中的第二媒体处理阶段。 媒体处理系统使用绑定信息在第二媒体处理阶段重新关联动态元数据和媒体数据。

    Ranking Representative Segments in Media Data
    22.
    发明申请
    Ranking Representative Segments in Media Data 有权
    媒体数据中的代表片段排名

    公开(公告)号：US20130289756A1

    公开(公告)日：2013-10-31

    申请号：US13997866

    申请日：2011-12-15

    申请人： Barbara Resch ,  Regunathan Radhakrishnan ,  Arijit Biswas ,  Jonas Engdegard

    发明人： Barbara Resch ,  Regunathan Radhakrishnan ,  Arijit Biswas ,  Jonas Engdegard

    IPC分类号： G06F17/00

    CPC分类号： H04R29/00 ,  G06F17/00 ,  G06F17/3053 ,  G10H1/0008 ,  G10H2210/061 ,  G10H2240/151 ,  G10L25/48

    摘要： Techniques for ranking representative segments in media data are provided. Media features of many different types may be extracted from the media data. A plurality of ranking scores may be assigned to a plurality of candidate representative segments. Each individual candidate representative segment in the plurality of candidate representative segments comprises at least one scene in one or more statistical patterns in media features of the media data based on one or more types of features extractable from the media data. Each individual ranking score in the plurality of ranking scores may be assigned to an individual candidate representative segment in the plurality of candidate representative segments. A representative segment to be played to an end user may be selected from the candidate representative segments, based on the plurality of ranking scores.

    摘要翻译： 提供了在媒体数据中排列代表片段的技术。 可以从媒体数据中提取许多不同类型的媒体特征。 可以将多个排名得分分配给多个候选代表段。 基于从媒体数据可提取的一种或多种类型的特征，多个候选代表段中的每个候选代表段包括媒体数据的媒体特征中的一个或多个统计模式中的至少一个场景。 可以将多个排名得分中的每个个体排名分数分配给多个候选代表段中的个人候选代表段。 可以基于多个排名得分从候选代表段中选择要向最终用户播放的代表段。

    Robust Media Fingerprints
    25.
    发明申请
    Robust Media Fingerprints 有权
    强大的媒体指纹

    公开(公告)号：US20110153050A1

    公开(公告)日：2011-06-23

    申请号：US13060032

    申请日：2009-08-26

    申请人： Claus Bauer ,  Regunathan Radhakrishnan

    发明人： Claus Bauer ,  Regunathan Radhakrishnan

    IPC分类号： G06F17/00

    CPC分类号： G10L19/018

    摘要： Robust media fingerprints are derived from a portion of audio content. A portion of content in an audio signal is categorized. The audio content is characterized based, at least in part, on one or more of its features. The features may include a component that relates to one of several sound categories, e.g., speech and/or noise, which may be mixed with the audio signal. Upon categorizing the audio content as free of the speech or noise related components, the audio signal component is processed. Upon categorizing the audio content as including the speech related component and/or the noise related components, the speech or noise related components are separated from the audio signal. The audio signal is processed independent of the speech related component and/or the noise related component. Processing the audio signal includes computing the audio fingerprint, which ably corresponds to the audio signal.

    摘要翻译： 强大的媒体指纹是从音频内容的一部分导出的。 对音频信号中的内容的一部分进行分类。 音频内容的特征在于，至少部分地基于其一个或多个特征。 特征可以包括与几个声音类别中的一个相关联的组件，例如可以与音频信号混合的语音和/或噪声。 在将音频内容分类为没有语音或噪声相关组件的情况下，处理音频信号分量。 在将音频内容分类为包括语音相关分量和/或噪声相关分量时，语音或噪声相关分量与音频信号分离。 音频信号被独立于语音相关分量和/或噪声相关分量进行处理。 处理音频信号包括计算音频指纹，其与音频信号相当。

    Deriving Video Signatures That Are Insensitive to Picture Modification and Frame-Rate Conversion
    26.
    发明申请
    Deriving Video Signatures That Are Insensitive to Picture Modification and Frame-Rate Conversion 失效
    导出对图像修改和帧速率转换不敏感的视频签名

    公开(公告)号：US20100238350A1

    公开(公告)日：2010-09-23

    申请号：US12600466

    申请日：2008-05-01

    申请人： Regunathan Radhakrishnan ,  Claus Bauer

    发明人： Regunathan Radhakrishnan ,  Claus Bauer

    IPC分类号： H04N5/14

    CPC分类号： G11B27/28 ,  G06F17/30799 ,  G06K9/00744 ,  G06T1/0028 ,  G06T1/005 ,  G06T2201/0051 ,  G06T2201/0061 ,  H04N19/467

    摘要： A signature that can be used to identify video content in a series of video frames is generated by first calculating the average and variance of picture elements in a low-resolution composite image that represents a temporal and spatial composite of the video content in the series of frames. The signature is generated by applying a hash function to values derived from the average and variance composite representations. The video content of a signal can be represented by a set of signatures that are generated for multiple series of frames within the signal. A set of signatures can provide reliable identifications despite intentional and unintentional modifications to the content.

    摘要翻译： 可以通过首先计算低分辨率合成图像中的图像元素的平均值和方差来生成可用于识别一系列视频帧中的视频内容的签名，该复合图像表示该系列视频内容中的视频内容的时间和空间复合 框架。 通过将散列函数应用于从平均和方差复合表示中导出的值来生成签名。 信号的视频内容可以由为信号内的多个帧系列生成的一组签名来表示。 尽管有意和无意地修改内容，一组签名可以提供可靠的标识。

    Multimedia event detection and summarization
    27.
    发明授权
    Multimedia event detection and summarization 失效
    多媒体事件检测与总结

    公开(公告)号：US07409407B2

    公开(公告)日：2008-08-05

    申请号：US10840824

    申请日：2004-05-07

    申请人： Regunathan Radhakrishnan ,  Ajay Divakaran

    发明人： Regunathan Radhakrishnan ,  Ajay Divakaran

    IPC分类号： G06F17/30 ,  G06F17/00

    CPC分类号： G06F17/30787 ,  G06F17/30802 ,  G06F17/30808 ,  G06F17/30811 ,  G06F17/30843 ,  G06K9/00711 ,  Y10S707/99943 ,  Y10S707/99945

    摘要： A method detects events in multimedia. Features are extracted from the multimedia. The features are sampled using a sliding window to obtain samples. A context model is constructed for each sample. An affinity matrix is determined from the models and a commutative distance metric between each pair of context models. A second generation eigenvector is determined for the affinity matrix, and the samples are then clustered into events according to the second generation eigenvector.

    摘要翻译： 一种方法来检测多媒体中的事件。 功能从多媒体提取。 使用滑动窗口对特征进行采样以获得样品。 为每个样本构建上下文模型。 从模型和每对上下文模型之间的交换距离度量确定亲和度矩阵。 针对亲和度矩阵确定第二代特征向量，然后根据第二代特征向量将样本聚类成事件。