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    Audio duplicate detector
    2.
    发明申请
    Audio duplicate detector 有权
    音频重复检测器

    公开(公告)号：US20050091275A1

    公开(公告)日：2005-04-28

    申请号：US10785561

    申请日：2004-02-24

    申请人： Christopher Burges ,  John Platt ,  Daniel Plastina ,  Erin Renshaw

    发明人： Christopher Burges ,  John Platt ,  Daniel Plastina ,  Erin Renshaw

    IPC分类号： G06F12/00 ,  G06F17/30 ,  G10H1/00 ,  G10L19/00 ,  G11B20/10 ,  G11B20/12 ,  G11B27/00 ,  G06F7/00

    CPC分类号： G06F17/30758 ,  G06F17/30017 ,  G06F17/30743 ,  G10H1/0041 ,  G10H2240/061 ,  G10H2240/155 ,  G10H2250/221 ,  G11B27/28

    摘要： The present invention relates to a system and methodology to facilitate automatic management and pruning of audio files residing in a database. Audio fingerprinting is a powerful tool for identifying streaming or file-based audio, using a database of fingerprints. Duplicate detection identifies duplicate audio clips in a set, even if the clips differ in compression quality or duration. The present invention can be provided as a self-contained application that it does not require an external database of fingerprints. Also, a user interface provides various options for managing and pruning the audio files.

    摘要翻译： 本发明涉及一种便于自动管理和修剪驻留在数据库中的音频文件的系统和方法。 音频指纹是使用指纹数据库识别流媒体或基于文件的音频的强大工具。 重复的检测识别集合中的重复音频剪辑，即使剪辑在压缩质量或持续时间上有所不同。 本发明可以作为独立应用来提供，其不需要外部指纹数据库。 此外，用户界面提供了管理和修剪音频文件的各种选项。

    System and method for automatically customizing a buffered media stream
    3.
    发明授权
    System and method for automatically customizing a buffered media stream 有权
    自动定制缓冲媒体流的系统和方法

    公开(公告)号：US07826708B2

    公开(公告)日：2010-11-02

    申请号：US10980683

    申请日：2004-11-02

    申请人： Cormac Herley ,  John Platt ,  Chris Burges ,  Erin Renshaw

    发明人： Cormac Herley ,  John Platt ,  Chris Burges ,  Erin Renshaw

    IPC分类号： H04N5/91

    CPC分类号： H04H60/06 ,  H04H20/10 ,  H04N7/17318 ,  H04N21/23406 ,  H04N21/23424 ,  H04N21/25891 ,  H04N21/2668 ,  H04N21/44004 ,  H04N21/44016 ,  H04N21/44222 ,  H04N21/4755 ,  Y10S707/99934

    摘要： A “media stream customizer” customizes buffered media streams by inserting one or more media objects into the stream to maintain an approximate buffer level. Specifically, when media objects such as songs, jingles, advertisements, etc., are deleted from the buffered stream (based on some user specified preferences), the buffer level will decrease. Therefore, over time, as more objects are deleted, the amount of the media stream being buffered continues to decrease, thereby limiting the ability to perform additional deletions from the stream. To address this limitation, the media stream customizer automatically chooses one or more media objects to insert back into the stream, and ensures that the inserted objects are consistent with any surrounding content of the media stream, thereby maintaining an approximate buffer level. In addition, the buffered content can also be stretched using pitch preserving audio stretching techniques to further compensate for deletions from the buffered stream.

    摘要翻译： “媒体流定制器”通过将一个或多个媒体对象插入流来定制缓冲媒体流，以维持近似的缓冲器级别。 特别地，当缓冲流（基于一些用户指定的偏好））删除诸如歌曲，歌曲，广告等的媒体对象时，缓冲器级别将减小。 因此，随着时间的推移，随着更多的对象被删除，缓冲的媒体流的数量继续减少，从而限制了从流中执行附加删除的能力。 为了解决这个限制，媒体流定制器自动选择一个或多个媒体对象来插入到流中，并确保所插入的对象与媒体流的任何周围内容一致，从而保持近似的缓冲器级别。 此外，缓冲内容还可以使用音高保持音频拉伸技术进行拉伸，以进一步补偿来自缓冲流的缺失。

    Client-based generation of music playlists via clustering of music similarity vectors
    4.
    发明授权
    Client-based generation of music playlists via clustering of music similarity vectors 有权
    通过音乐相似性向量的聚类，基于客户端的音乐播放列表生成

    公开(公告)号：US07571183B2

    公开(公告)日：2009-08-04

    申请号：US11045926

    申请日：2005-01-27

    申请人： Erin Renshaw ,  John Platt

    发明人： Erin Renshaw ,  John Platt

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30758 ,  G06F17/30749 ,  G06F17/30761 ,  G06F17/30772 ,  G06K9/6251 ,  G10H2240/091 ,  G10H2240/135 ,  G10H2240/155 ,  G10H2250/005 ,  Y10S707/99933 ,  Y10S707/99935 ,  Y10S707/99943

    摘要： A “Music Mapper” automatically constructs a set coordinate vectors for use in inferring similarity between various pieces of music. In particular, given a music similarity graph expressed as links between various artists, albums, songs, etc., the Music Mapper applies a recursive embedding process to embed each of the graphs music entries into a multi-dimensional space. This recursive embedding process also embeds new music items added to the music similarity graph without reembedding existing entries so long a convergent embedding solution is achieved. Given this embedding, coordinate vectors are then computed for each of the embedded musical items. The similarity between any two musical items is then determined as either a function of the distance between the two corresponding vectors. In various embodiments, this similarity is then used in constructing music playlists given one or more random or user selected seed songs or in a statistical music clustering process.

    摘要翻译： “音乐映射器”自动构建用于推断各种音乐之间相似度的集合坐标矢量。 特别地，音乐映射器给出一种表示为各种艺术家，专辑，歌曲等之间的链接的音乐相似图，音乐映射器应用递归嵌入过程，将每个图形音乐条目嵌入到多维空间中。 这种递归嵌入过程也将添加到音乐相似图中的新音乐项目嵌入，而不需要重新嵌入现有条目，所以实现了一种融合嵌入解决方案。 给定这个嵌入，然后为每个嵌入的音乐项目计算坐标矢量。 然后将任何两个音乐作品之间的相似度确定为两个对应矢量之间的距离的函数。 在各种实施例中，然后将该相似性用于构造给定一个或多个随机或用户选择的种子歌曲或统计音乐聚类过程中的音乐播放列表。

    Client-based generation of music playlists from a server-provided subset of music similarity vectors
    5.
    发明申请
    Client-based generation of music playlists from a server-provided subset of music similarity vectors 有权
    来自服务器提供的音乐相似性向量子集的基于客户端的音乐播放列表生成

    公开(公告)号：US20060112082A1

    公开(公告)日：2006-05-25

    申请号：US11045930

    申请日：2005-01-27

    申请人： John Platt ,  Erin Renshaw

    发明人： John Platt ,  Erin Renshaw

    IPC分类号： G06F17/00

    CPC分类号： G06F17/30758 ,  G06F17/30749 ,  G06F17/30761 ,  G06F17/30772 ,  G06K9/6251 ,  G10H2240/091 ,  G10H2240/135 ,  G10H2240/155 ,  G10H2250/005 ,  Y10S707/99933 ,  Y10S707/99935 ,  Y10S707/99943

    摘要： A “Music Mapper” automatically constructs a set coordinate vectors for use in inferring similarity between various pieces of music. In particular, given a music similarity graph expressed as links between various artists, albums, songs, etc., the Music Mapper applies a recursive embedding process to embed each of the graphs music entries into a multi-dimensional space. This recursive embedding process also embeds new music items added to the music similarity graph without reembedding existing entries so long a convergent embedding solution is achieved. Given this embedding, coordinate vectors are then computed for each of the embedded musical items. The similarity between any two musical items is then determined as either a function of the distance between the two corresponding vectors. In various embodiments, this similarity is then used in constructing music playlists given one or more random or user selected seed songs or in a statistical music clustering process.

    摘要翻译： “音乐映射器”自动构建用于推断各种音乐之间相似度的集合坐标矢量。 特别地，音乐映射器给出一种表示为各种艺术家，专辑，歌曲等之间的链接的音乐相似图，音乐映射器应用递归嵌入过程，将每个图形音乐条目嵌入到多维空间中。 这种递归嵌入过程也将添加到音乐相似图中的新音乐项目嵌入，而不需要重新嵌入现有条目，所以实现了一种融合嵌入解决方案。 给定这个嵌入，然后为每个嵌入的音乐项目计算坐标矢量。 然后将任何两个音乐作品之间的相似度确定为两个对应矢量之间的距离的函数。 在各种实施例中，然后将该相似性用于构造给定一个或多个随机或用户选择的种子歌曲或统计音乐聚类过程中的音乐播放列表。

    Constructing a table of music similarity vectors from a music similarity graph
    7.
    发明授权
    Constructing a table of music similarity vectors from a music similarity graph 有权
    从音乐相似图构建音乐相似性矢量表

    公开(公告)号：US07777125B2

    公开(公告)日：2010-08-17

    申请号：US10993109

    申请日：2004-11-19

    申请人： John Platt ,  Erin Renshaw ,  Max Chickering ,  Cormac Herley

    发明人： John Platt ,  Erin Renshaw ,  Max Chickering ,  Cormac Herley

    IPC分类号： G10H7/00

    CPC分类号： G06F17/30758 ,  G06F17/30749 ,  G06F17/30761 ,  G06F17/30772 ,  G06K9/6251 ,  G10H2240/091 ,  G10H2240/135 ,  G10H2240/155 ,  G10H2250/005 ,  Y10S707/99933 ,  Y10S707/99935 ,  Y10S707/99943

    摘要： A “Music Mapper” automatically constructs a set coordinate vectors for use in inferring similarity between various pieces of music. In particular, given a music similarity graph expressed as links between various artists, albums, songs, etc., the Music Mapper applies a recursive embedding process to embed each of the graphs music entries into a multi-dimensional space. This recursive embedding process also embeds new music items added to the music similarity graph without reembedding existing entries so long a convergent embedding solution is achieved. Given this embedding, coordinate vectors are then computed for each of the embedded musical items. The similarity between any two musical items is then determined as either a function of the distance between the two corresponding vectors. In various embodiments, this similarity is then used in constructing music playlists given one or more random or user selected seed songs or in a statistical music clustering process.

    摘要翻译： “音乐映射器”自动构建用于推断各种音乐之间相似度的集合坐标矢量。 特别地，音乐映射器给出一种表示为各种艺术家，专辑，歌曲等之间的链接的音乐相似图，音乐映射器应用递归嵌入过程，将每个图形音乐条目嵌入到多维空间中。 这种递归嵌入过程也将添加到音乐相似图中的新音乐项目嵌入，而不需要重新嵌入现有条目，所以实现了一种融合嵌入解决方案。 给定这个嵌入，然后为每个嵌入的音乐项目计算坐标矢量。 然后将任何两个音乐作品之间的相似度确定为两个对应矢量之间的距离的函数。 在各种实施例中，然后将该相似性用于构造给定一个或多个随机或用户选择的种子歌曲或统计音乐聚类过程中的音乐播放列表。

    Image superresolution through edge extraction and contrast enhancement
    9.
    发明授权
    Image superresolution through edge extraction and contrast enhancement 有权
    图像超分辨率通过边缘提取和对比度增强

    公开(公告)号：US07613363B2

    公开(公告)日：2009-11-03

    申请号：US11165525

    申请日：2005-06-23

    申请人： John Platt ,  Hugues Hoppe ,  Erin Renshaw ,  Adrian Corduneanu

    发明人： John Platt ,  Hugues Hoppe ,  Erin Renshaw ,  Adrian Corduneanu

    IPC分类号： G06K9/32

    CPC分类号： G06T3/4053 ,  G06T5/002 ,  G06T5/008 ,  G06T5/20 ,  G06T7/13 ,  G06T7/194 ,  G06T2207/10016 ,  G06T2207/20192

    摘要： A technique for generating high-resolution bitmaps from low-resolution bitmaps. A low-resolution bitmap is magnified to form a magnified image. Edge detection is performed on the magnified image to find high contrast edges. A plurality of image patches of the magnified image are generated. These images patches are analyzed by performing connected components analysis on each of them using the high contrast edges to produce a plurality of foreground and background decisions determining whether a portion of an image patch is a background or a foreground region. Then the contrast of one or more pixels in each of the plurality of image patches is enhanced based on the foreground and background decisions. Finally, the system and method of the invention combines the luminance of the enhanced output pixels with the color values generated by the magnification algorithm. This produces a high-resolution bitmap from the contrast-enhanced pixels.

    摘要翻译： 从低分辨率位图生成高分辨率位图的技术。 低分辨率位图被放大以形成放大图像。 在放大图像上执行边缘检测，以找到高对比度边缘。 生成放大图像的多个图像块。 通过使用高对比度边缘对它们中的每一个执行连接的分量分析来分析这些图像块，以产生确定图像块的一部分是背景还是前景区域的多个前景和背景决定。 然后，基于前景和背景决定增强多个图像块中的每一个中的一个或多个像素的对比度。 最后，本发明的系统和方法将增强输出像素的亮度与由放大算法产生的颜色值相结合。 这产生了来自对比度增强像素的高分辨率位图。

    Client-based generation of music playlists from a server-provided subset of music similarity vectors
    10.
    发明授权
    Client-based generation of music playlists from a server-provided subset of music similarity vectors 有权
    来自服务器提供的音乐相似性向量子集的基于客户端的音乐播放列表生成

    公开(公告)号：US07340455B2

    公开(公告)日：2008-03-04

    申请号：US11045930

    申请日：2005-01-27

    申请人： John Platt ,  Erin Renshaw

    发明人： John Platt ,  Erin Renshaw

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30758 ,  G06F17/30749 ,  G06F17/30761 ,  G06F17/30772 ,  G06K9/6251 ,  G10H2240/091 ,  G10H2240/135 ,  G10H2240/155 ,  G10H2250/005 ,  Y10S707/99933 ,  Y10S707/99935 ,  Y10S707/99943

    摘要： A “Music Mapper” automatically constructs a set coordinate vectors for use in inferring similarity between various pieces of music. In particular, given a music similarity graph expressed as links between various artists, albums, songs, etc., the Music Mapper applies a recursive embedding process to embed each of the graphs music entries into a multi-dimensional space. This recursive embedding process also embeds new music items added to the music similarity graph without reembedding existing entries so long a convergent embedding solution is achieved. Given this embedding, coordinate vectors are then computed for each of the embedded musical items. The similarity between any two musical items is then determined as either a function of the distance between the two corresponding vectors. In various embodiments, this similarity is then used in constructing music playlists given one or more random or user selected seed songs or in a statistical music clustering process.

    摘要翻译： “音乐映射器”自动构建用于推断各种音乐之间相似度的集合坐标矢量。 特别地，音乐映射器给出一种表示为各种艺术家，专辑，歌曲等之间的链接的音乐相似图，音乐映射器应用递归嵌入过程将音乐条目中的每一个图形嵌入到多维空间中。 这种递归嵌入过程也将添加到音乐相似图中的新音乐项目嵌入，而不需要重新嵌入现有条目，所以实现了一种融合嵌入解决方案。 给定这个嵌入，然后为每个嵌入的音乐项目计算坐标矢量。 然后将任何两个音乐作品之间的相似度确定为两个对应矢量之间的距离的函数。 在各种实施例中，然后将该相似性用于构造给定一个或多个随机或用户选择的种子歌曲或统计音乐聚类过程中的音乐播放列表。