专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 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。

2. 发明授权

US06881889B2 Generating a music snippet 有权
标题翻译：生成音乐片段
公开(公告)号：US06881889B2
公开(公告)日：2005-04-19
申请号：US10861286
申请日：2004-06-03
申请人： Lie Lu , Hong-Jiang Zhang , Po Yuan
发明人： Lie Lu , Hong-Jiang Zhang , Po Yuan
IPC分类号： A63H5/00 , G01H7/00 , G04B13/00 , G10H1/00 , G10H7/00
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, one or more music sentences are extracted from the music stream. The one or more sentences are extracted as a function of peaks and valleys of acoustic energy across sequential music stream portions. The music snippet is selected based on the one or more music sentences.
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，从音乐流中提取一个或多个音乐句子。一个或多个句子作为跨顺序音乐流部分的声能的峰值和谷值的函数被提取。基于一个或多个音乐句子来选择音乐片段。

3. 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。

4. 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。

5. 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。

6. 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。

7. 发明授权

US07396990B2 Automatic music mood detection 有权
标题翻译：自动音乐心情检测
公开(公告)号：US07396990B2
公开(公告)日：2008-07-08
申请号：US11275100
申请日：2005-12-09
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： G10H1/0008 , G10H2210/071 , G10H2210/076 , G10H2210/081 , G10H2240/061 , G10H2240/081 , G10H2240/085 , G10H2240/091 , G10H2240/135 , G10H2240/155 , G10H2250/031
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。

8. 发明申请

US20070131096A1 Automatic Music Mood Detection 有权
标题翻译：自动音乐心情检测
公开(公告)号：US20070131096A1
公开(公告)日：2007-06-14
申请号：US11275100
申请日：2005-12-09
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： G10H1/0008 , G10H2210/071 , G10H2210/076 , G10H2210/081 , G10H2240/061 , G10H2240/081 , G10H2240/085 , G10H2240/091 , G10H2240/135 , G10H2240/155 , G10H2250/031
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。

9. 发明授权

US07127120B2 Systems and methods for automatically editing a video 有权
标题翻译：自动编辑视频的系统和方法
公开(公告)号：US07127120B2
公开(公告)日：2006-10-24
申请号：US10286348
申请日：2002-11-01
申请人： Xian-Sheng Hua , Lie Lu , Yu-Fei Ma , Mingjing Li , Hong-Jiang Zhang
发明人： Xian-Sheng Hua , Lie Lu , Yu-Fei Ma , Mingjing Li , Hong-Jiang Zhang
IPC分类号： G06K9/40
CPC分类号： G11B27/034 , G11B27/28
摘要： Systems and methods to automatically edit a video to generate a video summary are described. In one aspect, sub-shots are extracted from the video. Importance measures are calculated for at least a portion of the extracted sub-shots. Respective relative distributions for sub-shots having relatively higher importance measures as compared to importance measures of other sub-shots are determined. Based on the determined relative distributions, sub-shots that do not exhibit a uniform distribution with respect to other sub-shots in the particular ones are dropped. The remaining sub-shots are connected with respective transitions to generate the video summary.
摘要翻译：描述了自动编辑视频以生成视频摘要的系统和方法。在一方面，从视频中提取子拍摄。对于提取的子拍摄的至少一部分计算重要性度量。确定与其他子拍摄重要度量相比具有相对较高重要度量的子投影的相对相对分布。基于所确定的相对分布，相对于特定的其他子投影，不显示均匀分布的子投影。剩余的子拍摄与各自的转换相连接以产生视频摘要。

10. 发明授权

US07022907B2 Automatic music mood detection 失效
公开(公告)号：US07022907B2
公开(公告)日：2006-04-04
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： G10H7/00 , G10H1/40
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.

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式