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41. 发明申请

US20050211072A1 Beat analysis of musical signals 失效
标题翻译：节奏分析音乐信号
公开(公告)号：US20050211072A1
公开(公告)日：2005-09-29
申请号：US10811287
申请日：2004-03-25
申请人： Lie Lu , Hong-Jiang Zhang
发明人： Lie Lu , Hong-Jiang Zhang
IPC分类号： G10H1/40 , G10H7/00
CPC分类号： G10H1/40 , G10H2210/076 , G10H2210/391 , G10H2240/325 , G10H2250/135 , G10H2250/285
摘要： A system and methods analyze music to detect musical beats and to rectify beats that are out of sync with the actual beat phase of the music. The music analysis includes onset detection, tempo/meter estimation, and beat analysis, which includes the rectification of out-of-sync beats.
摘要翻译：系统和方法分析音乐以检测音乐节奏并纠正与音乐的实际节奏不同步的节奏。音乐分析包括开始检测，速度/仪表估计和拍频分析，其中包括纠错不同步拍摄。

42. 发明申请

US20140205103A1 MEASURING CONTENT COHERENCE AND MEASURING SIMILARITY 有权
标题翻译：测量内容的一致性和测量的相似性
公开(公告)号：US20140205103A1
公开(公告)日：2014-07-24
申请号：US14237395
申请日：2012-08-07
申请人： Lie Lu , Mingqing Hu
发明人： Lie Lu , Mingqing Hu
IPC分类号： G10L25/51 , H04R29/00
CPC分类号： G10L25/51 , G10L19/038 , H04R29/00
摘要： Embodiments for measuring content coherence and embodiments for measuring content similarity are described. Content coherence between a first audio section and a second audio section is measured. For each audio segment in the first audio section, a predetermined number of audio segments in the second audio section are determined. Content similarity between the audio segment in the first audio section and the determined audio segments is higher than that between the audio segment and all the other audio segments in the second audio section. An average of the content similarity between the audio segment in the first audio section and the determined audio segments is calculated. The content coherence is calculated as an average, the maximum or the minimum of the averages calculated for the audio segments in the first audio section. The content similarity may be calculated based on Dirichlet distribution.
摘要翻译：描述了用于测量内容相干性的实施例和用于测量内容相似性的实施例。测量第一音频部分和第二音频部分之间的内容相干性。对于第一音频部分中的每个音频段，确定第二音频部分中的预定数量的音频片段。第一音频部分中的音频片段与所确定的音频片段之间的内容相似性高于音频片段和第二音频片段中的所有其他音频片段之间的内容相似度。计算第一音频部分中的音频片段与确定的音频片段之间的内容相似度的平均值。内容相干性被计算为平均值，对于第一音频部分中的音频段计算的平均值的最大值或最小值。内容相似性可以基于Dirichlet分布来计算。

43. 发明申请

US20130046399A1 Methods and Apparatus for Detecting a Repetitive Pattern in a Sequence of Audio Frames 有权
标题翻译：用于检测音频帧序列中的重复模式的方法和装置
公开(公告)号：US20130046399A1
公开(公告)日：2013-02-21
申请号：US13564302
申请日：2012-08-01
申请人： Lie Lu , Bin cheng
发明人： Lie Lu , Bin cheng
IPC分类号： G06F17/00
CPC分类号： G06F17/30743 , G10L25/03 , G10L25/45 , G10L25/51
摘要： Methods and apparatus for detecting a repetitive pattern in a sequence of audio frames are described. Similarity values of a first similarity matrix with first resolution for the sequence are calculated. An adaptive threshold is estimated from the similarity values for classifying the similarity values into repetition or non-repetition. For each of one or more offsets of a second similarity matrix with second resolution higher that the first resolution, similarity values of the second similarity matrix corresponding to the offset are calculated. Then the calculated similarity values are binarized with the adaptive threshold to obtain binarized data. Finally, the repetitive pattern is detected from the binarized data. The requirement on memory may be reduced because less data are stored in detecting the repetitive pattern.
摘要翻译：描述了用于检测音频帧序列中的重复模式的方法和装置。计算具有序列的第一分辨率的第一相似矩阵的相似度值。从相似性值估计自适应阈值，用于将相似度值分类为重复或非重复。对于具有第二分辨率高于第一分辨率的第二相似度矩阵的一个或多个偏移中的每一个，计算与偏移相对应的第二相似度矩阵的相似度值。然后将所计算的相似度值用自适应阈值二值化，以获得二值化数据。最后，从二值化数据中检测重复模式。可以减少对存储器的要求，因为在检测重复模式时存储较少的数据。

44. 发明授权

US07904815B2 Content-based dynamic photo-to-video methods and apparatuses 有权
标题翻译：基于内容的动态照片到视频方法和设备
公开(公告)号：US07904815B2
公开(公告)日：2011-03-08
申请号：US10610105
申请日：2003-06-30
申请人： Xian-Sheng Hua , Lie Lu , Hong-Jiang Zhang
发明人： Xian-Sheng Hua , Lie Lu , Hong-Jiang Zhang
IPC分类号： G06K9/00 , H04N5/783
CPC分类号： H04N1/32101 , H04N2201/3247 , H04N2201/3264
摘要： Methods and apparatuses are provided for automatically generating video data based on still image data. Certain aspects of the video may also be configured to correspond to audio features identified within associated audio data.
摘要翻译：提供了用于基于静止图像数据自动生成视频数据的方法和装置。视频的某些方面也可以被配置为对应于在相关联的音频数据内标识的音频特征。

45. 发明授权

US07115808B2 Automatic music mood detection 有权
标题翻译：自动音乐心情检测
公开(公告)号：US07115808B2
公开(公告)日：2006-10-03
申请号：US11265685
申请日：2005-11-02
申请人： Lie Lu , Hong-Jiang Zhang
发明人： Lie Lu , Hong-Jiang Zhang
IPC分类号： G10H1/40 , G10H7/00 , G06F17/00
CPC分类号： G10H1/00 , G10H2210/071 , G10H2240/085
摘要： A system and methods use music features extracted from music to detect a music mood within a hierarchical mood detection framework. A two-dimensional mood model divides music into four moods which include contentment, depression, exuberance, and anxious/frantic. A mood detection algorithm uses a hierarchical mood detection framework to determine which of the four moods is associated with a music clip based on the extracted features. In a first tier of the hierarchical detection process, the algorithm determines one of two mood groups to which the music clip belongs. In a second tier of the hierarchical detection process, the algorithm then determines which mood from within the selected mood group is the appropriate, exact mood for the music clip. Benefits of the mood detection system include automatic detection of music mood which can be used as music metadata to manage music through music representation and classification.
摘要翻译：系统和方法使用从音乐中提取的音乐特征来检测分层情绪检测框架内的音乐心情。二维情绪模型将音乐分为四种情绪，包括满足感，抑郁症，繁荣感和焦虑/疯狂。情绪检测算法使用分级情绪检测框架来基于提取的特征来确定四种情绪中的哪一种与音乐剪辑相关联。在层次检测过程的第一层中，算法确定音乐剪辑所属的两个心情组之一。在层次检测过程的第二层中，算法然后确定来自所选择的心情组中的哪个心情是音乐剪辑的适当的精确心情。情绪检测系统的优点包括自动检测音乐心情，可用作音乐元数据，通过音乐表示和分类来管理音乐。

46. 发明授权

US07026536B2 Beat analysis of musical signals 失效
标题翻译：节奏分析音乐信号
公开(公告)号：US07026536B2
公开(公告)日：2006-04-11
申请号：US10811287
申请日：2004-03-25
申请人： Lie Lu , Hong-Jiang Zhang
发明人： Lie Lu , Hong-Jiang Zhang
IPC分类号： G10H7/00
CPC分类号： G10H1/40 , G10H2210/076 , G10H2210/391 , G10H2240/325 , G10H2250/135 , G10H2250/285
摘要： A system and methods analyze music to detect musical beats and to rectify beats that are out of sync with the actual beat phase of the music. The music analysis includes onset detection, tempo/meter estimation, and beat analysis, which includes the rectification of out-of-sync beats.
摘要翻译：系统和方法分析音乐以检测音乐节奏并纠正与音乐的实际节奏不同步的节奏。音乐分析包括开始检测，速度/仪表估计和拍频分析，其中包括纠错不同步拍摄。

47. 发明申请

US20050211071A1 Automatic music mood detection 失效
标题翻译：自动音乐心情检测
公开(公告)号：US20050211071A1
公开(公告)日：2005-09-29
申请号：US10811281
申请日：2004-03-25
申请人： Lie Lu , Hong-Jiang Zhang
发明人： Lie Lu , Hong-Jiang Zhang
IPC分类号： G10H1/00 , G10H1/40 , G10H7/00
CPC分类号： G10H1/00 , G10H2210/071 , G10H2240/085
摘要： A system and methods use music features extracted from music to detect a music mood within a hierarchical mood detection framework. A two-dimensional mood model divides music into four moods which include contentment, depression, exuberance, and anxious/frantic. A mood detection algorithm uses a hierarchical mood detection framework to determine which of the four moods is associated with a music clip based on the extracted features. In a first tier of the hierarchical detection process, the algorithm determines one of two mood groups to which the music clip belongs. In a second tier of the hierarchical detection process, the algorithm then determines which mood from within the selected mood group is the appropriate, exact mood for the music clip. Benefits of the mood detection system include automatic detection of music mood which can be used as music metadata to manage music through music representation and classification.
摘要翻译：系统和方法使用从音乐中提取的音乐特征来检测分层情绪检测框架内的音乐心情。二维情绪模型将音乐分为四种情绪，包括满足感，抑郁症，繁荣感和焦虑/疯狂。情绪检测算法使用分级情绪检测框架来基于提取的特征来确定四种情绪中的哪一种与音乐剪辑相关联。在层次检测过程的第一层中，算法确定音乐剪辑所属的两个心情组之一。在层次检测过程的第二层中，算法然后确定来自所选择的心情组中的哪个心情是音乐剪辑的适当的精确心情。情绪检测系统的优点包括自动检测音乐心情，可用作音乐元数据，通过音乐表示和分类来管理音乐。

48. 发明授权

US06784354B1 Generating a music snippet 有权
标题翻译：生成音乐片段
公开(公告)号：US06784354B1
公开(公告)日：2004-08-31
申请号：US10387628
申请日：2003-03-13
申请人： Lie Lu , Hong-Jiang Zhang , Po Yuan
发明人： Lie Lu , Hong-Jiang Zhang , Po Yuan
IPC分类号： G01H700
CPC分类号： G10H1/00 , G10H2210/061
摘要： Systems and methods for extracting a music snippet from a music stream are described. In one aspect, the music stream is divided into multiple frames of fixed length. The most-salient frame of the multiple frames is then identified. One or more music sentences are then extracted from the music stream as a function of peaks and valleys of acoustic energy across sequential music stream portions. The music snippet is the sentence that includes the most-salient frame.
摘要翻译：描述从音乐流中提取音乐片段的系统和方法。在一个方面，音乐流被分成多个固定长度的帧。然后识别多个帧的最显着的帧。然后，从音乐流中提取一个或多个音乐句子，作为跨顺序音乐流部分的声能的峰值和谷值的函数。音乐片段是包含最突出的框架的句子。

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