公开(公告)号：US09411884B1

公开(公告)日：2016-08-09

申请号：US14325115

申请日：2014-07-07

Applicant: Google Inc.

Inventor： George Tzanetakis ,  Dominik Roblek ,  Matthew Sharifi

IPC: G06F17/00 ,  G06F17/30

CPC classification number: G06F17/30743 ,  G06F17/30758 ,  G10L25/54

Abstract: Systems and methods for noise based interest point density pruning are disclosed herein. The systems include determining an amount of noise in an audio sample and adjusting the amount of interest points within an audio sample fingerprint based on the amount of noise. Samples containing high amounts of noise correspondingly generate fingerprints with more interest points. The disclosed systems and methods allow reference fingerprints to be reduced in size while increasing the size of sample fingerprints. The benefits in scalability do not compromise the accuracy of an audio matching system using noise based interest point density pruning.

Abstract translation: 本文公开了基于噪声的兴趣点密度修剪的系统和方法。 系统包括确定音频样本中的噪声量，并且基于噪声量来调整音频样本指纹内的兴趣点的数量。 含有大量噪声的样本相应地产生了具有更多兴趣点的指纹。 所公开的系统和方法允许参考指纹的尺寸减小，同时增加样本指纹的大小。 可扩展性的优点不会影响使用基于噪声的兴趣点密度修剪的音频匹配系统的准确性。

公开(公告)号：US09508023B1

公开(公告)日：2016-11-29

申请号：US14257683

申请日：2014-04-21

Applicant: Google Inc.

Inventor： Matthew Sharifi ,  Sergey Ioffe ,  Jay Yagnik ,  Gheorghe Postelnicu ,  Dominik Roblek ,  George Tzanetakis

IPC: G06F17/30 ,  G06K9/62 ,  G06K9/00

CPC classification number: G06K9/6267 ,  G06F17/3002 ,  G06F17/30244 ,  G06K9/00013

Abstract: This disclosure relates to transformation invariant media matching. A fingerprinting component can generate a transformation invariant identifier for media content by adaptively encoding the relative ordering of interest points in media content. The interest points can be grouped into subsets, and stretch invariant descriptors can be generated for the subsets based on ratios of coordinates of interest points included in the subsets. The stretch invariant descriptors can be aggregated into a transformation invariant identifier. An identification component compares the identifier against a set of identifiers for known media content, and the media content can be matched or identified as a function of the comparison.

Abstract translation: 本公开涉及变换不变媒体匹配。 指纹分量可以通过对媒体内容中的兴趣点的相对排序进行自适应编码来生成媒体内容的变换不变标识符。 可以将兴趣点分组为子集，并且可以基于子集中包括的兴趣点坐标的比例为子集生成拉伸不变描述符。 拉伸不变描述符可以聚合成变换不变标识符。 识别部件将标识符与已知媒体内容的一组标识符进行比较，并且媒体内容可以作为比较的函数进行匹配或标识。