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    Non-Parametric Measurement of Media Fingerprint Weak Bits
    21.
    发明申请
    Non-Parametric Measurement of Media Fingerprint Weak Bits 有权
    媒体指纹弱位的非参数测量

    公开(公告)号：US20120011128A1

    公开(公告)日：2012-01-12

    申请号：US13173462

    申请日：2011-06-30

    申请人： Junfeng He ,  Regunathan Radhakrishnan ,  Wenyu Jiang

    发明人： Junfeng He ,  Regunathan Radhakrishnan ,  Wenyu Jiang

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30023

    摘要： A value is computed for a feature in an instance of query content and compared to a threshold value. Based on the comparison, first and second bits in a hash value, which is derived from the query content feature, are determined. Conditional probability values are computed for the likelihood that quantized values of the first and the second bits equal corresponding quantized bit values of a target or reference feature value. The conditional probabilities are compared and a relative strength determined for the first and second bits, which directly corresponds to the conditional probability. The bit with the lowest bit strength is selected as the weakbit. The value of the weakbit is toggled to generate a variation of the query hash value. The query may be extended using the query hash value variation.

    摘要翻译： 为查询内容的实例中的要素计算一个值，并与阈值进行比较。 基于比较，确定从查询内容特征导出的哈希值中的第一和第二比特。 对于第一和第二比特的量化值等于目标或参考特征值的相应量化比特值的可能性，计算条件概率值。 比较条件概率，并确定第一和第二位的相对强度，其直接对应于条件概率。 选择具有最低位强度的位作为弱位。 切换弱点的值以生成查询哈希值的变体。 可以使用查询哈希值变化来扩展查询。

    PROJECTION BASED HASHING THAT BALANCES ROBUSTNESS AND SENSITIVITY OF MEDIA FINGERPRINTS
    22.
    发明申请
    PROJECTION BASED HASHING THAT BALANCES ROBUSTNESS AND SENSITIVITY OF MEDIA FINGERPRINTS 失效
    基于投影的平衡消除平衡媒体指纹的鲁棒性和灵敏度

    公开(公告)号：US20110299721A1

    公开(公告)日：2011-12-08

    申请号：US13115542

    申请日：2011-05-25

    申请人： Junfeng He ,  Regunathan Radhakrishnan ,  Claus Bauer

    发明人： Junfeng He ,  Regunathan Radhakrishnan ,  Claus Bauer

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00744 ,  G06K9/6232

    摘要： Multiple candidate feature components of media content or projection matrices (or other hash functions, e.g., non-linear projections) are identified. Each of the candidate projection matrices (or other hash functions) includes an array of coefficients that relate to the candidate features. A subgroup of the candidate features or the projection matrices (or other hash functions) are selected based at least partially on an optimized combination of at least two characteristics of the candidate features or projection matrices (or other hash functions). Media fingerprints that uniquely identify the media content are derived from the selected optimized subgroup. Optimal projection matrices (or other hash functions) may be designed. Performance or sensitivity (e.g., search time) characteristics of the fingerprints are thus balanced with robustness characteristics thereof.

    摘要翻译： 识别媒体内容或投影矩阵（或其他散列函数，例如非线性投影）的多个候选特征分量。 每个候选投影矩阵（或其他散列函数）包括与候选特征相关的系数阵列。 至少部分地基于候选特征或投影矩阵（或其他散列函数）的至少两个特征的优化组合来选择候选特征或投影矩阵（或其他散列函数）的子组。 唯一标识媒体内容的媒体指纹是从选定的优化子组派生出来的。 可以设计最佳投影矩阵（或其他散列函数）。 因此，指纹的性能或灵敏度（例如，搜索时间）特性与其鲁棒性特性相平衡。

    Media Fingerprints that Reliably Correspond to Media Content with Projection of Moment Invariants
    24.
    发明申请
    Media Fingerprints that Reliably Correspond to Media Content with Projection of Moment Invariants 有权
    媒体指纹与媒体内容可靠地对应于时刻不变量的投影

    公开(公告)号：US20110216937A1

    公开(公告)日：2011-09-08

    申请号：US13128967

    申请日：2009-11-17

    申请人： Regunathan Radhakrishnan ,  Claus Bauer

    发明人： Regunathan Radhakrishnan ,  Claus Bauer

    IPC分类号： G06K9/00

    CPC分类号： G06T1/0028 ,  G06F17/30799 ,  G06K9/00744 ,  G06K9/4671 ,  G06K9/525 ,  G06T1/005

    摘要： A portion of media content is accessed. Components from a first and each subsequent spatial regions of the media content are sampled. Each spatial region has an unsegmented area. Each subsequent spatial region includes those within its area as elements thereof or the spatial regions may partially overlap. The regions may overlap independent of a hierarchical relationship between the regions. A media fingerprint is derived from the components of each of the spatial regions, which reliably corresponds to the media content portion, e.g., over geometric attacks such as rotation.

    摘要翻译： 访问媒体内容的一部分。 来自媒体内容的第一和每个后续空间区域的组件被采样。 每个空间区域都有一个未分段的区域。 每个随后的空间区域包括其区域内的元素作为其元素，或者空间区域可以部分重叠。 这些区域可以独立于区域之间的层次关系重叠。 来自每个空间区域的组件的媒体指纹，其可靠地对应于媒体内容部分，例如，几何攻击（例如旋转）。

    Scene change detection around a set of seed points in media data
    27.
    发明授权
    Scene change detection around a set of seed points in media data 有权
    媒体数据中一组种子点周围的场景变化检测

    公开(公告)号：US09317561B2

    公开(公告)日：2016-04-19

    申请号：US13997860

    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 ,  G06F17/30 ,  G10H1/00 ,  H04R29/00 ,  G10L25/48

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

    摘要： Techniques for scene change detection around seed points in media data are provided. Media features of many different types may be extracted from the media data. One or more statistical patterns of media features in a plurality of time-wise intervals around a plurality of seed time points of the media data may be determined using one or more types of features extractable from the media data. At least one of the one or more types of features comprises a type of features that captures structural properties, tonality including harmony and melody, timbre, rhythm, loudness, stereo mix, or a quantity of sound sources as related to the media data. A plurality of beginning scene change points and a plurality of ending scene change points in the media data may be detected, based on the one or more statistical patterns, for the plurality of seed time points in the media data.

    摘要翻译： 提供媒体数据中种子点周围场景变化检测技术。 可以从媒体数据中提取许多不同类型的媒体特征。 可以使用从媒体数据可提取的一种或多种类型的特征来确定围绕媒体数据的多个种子时间点的多个时间间隔中的媒体特征的一个或多个统计模式。 一种或多种类型的特征中的至少一种包括捕获与媒体数据相关的结构性质，包括和声和旋律的音调，音色，节奏，响度，立体声混合或数量的声源的特征的类型。 可以基于媒体数据中的多个种子时间点的一个或多个统计模式来检测媒体数据中的多个起始场景变化点和多个结束场景变化点。

    Projection based hashing that balances robustness and sensitivity of media fingerprints
    29.
    发明授权
    Projection based hashing that balances robustness and sensitivity of media fingerprints 失效
    基于投影的散列，平衡了媒体指纹的鲁棒性和灵敏度

    公开(公告)号：US08542869B2

    公开(公告)日：2013-09-24

    申请号：US13115542

    申请日：2011-05-25

    申请人： Junfeng He ,  Regunathan Radhakrishnan ,  Claus Bauer

    发明人： Junfeng He ,  Regunathan Radhakrishnan ,  Claus Bauer

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00744 ,  G06K9/6232

    摘要： Multiple candidate feature components of media content or projection matrices (or other hash functions, e.g., non-linear projections) are identified. Each of the candidate projection matrices (or other hash functions) includes an array of coefficients that relate to the candidate features. A subgroup of the candidate features or the projection matrices (or other hash functions) are selected based at least partially on an optimized combination of at least two characteristics of the candidate features or projection matrices (or other hash functions). Media fingerprints that uniquely identify the media content are derived from the selected optimized subgroup. Optimal projection matrices (or other hash functions) may be designed. Performance or sensitivity (e.g., search time) characteristics of the fingerprints are thus balanced with robustness characteristics thereof.

    摘要翻译： 识别媒体内容或投影矩阵（或其他散列函数，例如非线性投影）的多个候选特征分量。 每个候选投影矩阵（或其他散列函数）包括与候选特征相关的系数阵列。 至少部分地基于候选特征或投影矩阵（或其他散列函数）的至少两个特征的优化组合来选择候选特征或投影矩阵（或其他散列函数）的子组。 唯一标识媒体内容的媒体指纹是从选定的优化子组派生出来的。 可以设计最佳投影矩阵（或其他散列函数）。 因此，指纹的性能或灵敏度（例如，搜索时间）特性与其鲁棒性特性相平衡。

    Content identification and quality monitoring
    30.
    发明授权
    Content identification and quality monitoring 有权
    内容识别和质量监控

    公开(公告)号：US08428301B2

    公开(公告)日：2013-04-23

    申请号：US13059839

    申请日：2009-08-21

    申请人： Regunathan Radhakrishnan ,  Jeffrey Riedmiller ,  Claus Bauer ,  Wenyu Jiang

    发明人： Regunathan Radhakrishnan ,  Jeffrey Riedmiller ,  Claus Bauer ,  Wenyu Jiang

    IPC分类号： G06K9/00 ,  B42D15/00

    CPC分类号： H04N17/004

    摘要： Content identification and quality monitoring are provided. The method involves obtaining a first fingerprint derived from a first media content, processing the first media content to generate a second media content, obtaining a second fingerprint derived from the second media content, and comparing the first fingerprint and the second fingerprint to determine one or more of: a similarity between the first fingerprint and the second fingerprint that indicates that the second media content is generated from the first media content or a difference between the first fingerprint and the second fingerprint to identify a quality degradation between the first media content and the second media content.

    摘要翻译： 提供内容识别和质量监控。 该方法包括获得从第一媒体内容导出的第一指纹，处理第一媒体内容以产生第二媒体内容，获得从第二媒体内容导出的第二指纹，以及比较第一指纹和第二指纹以确定一个或多个 更多：第一指纹和第二指纹之间的相似性，其指示从第一媒体内容生成第二媒体内容或第一指纹与第二指纹之间的差异，以识别第一媒体内容与第二指纹之间的质量下降 第二媒体内容。