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1. 发明授权

US08572088B2 Automated rich presentation of a semantic topic 有权
标题翻译：自动丰富的语义主题演示
公开(公告)号：US08572088B2
公开(公告)日：2013-10-29
申请号：US11256411
申请日：2005-10-21
申请人： Lie Lu , Wei-Ying Ma , Zhiwei Li
发明人： Lie Lu , Wei-Ying Ma , Zhiwei Li
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30705 , G06F17/30056
摘要： Automated rich presentation of a semantic topic is described. In one aspect, respective portions of multimodal information corresponding to a semantic topic are evaluated to locate events associated with the semantic topic. The probability that a document belongs to an event is determined based on document inclusion of one or more of persons, times, locations, and keywords, and document distribution along a timeline associated with the event. For each event, one or more documents objectively determined to be substantially representative of the event are identified. One or more other types of media (e.g., video, images, etc.) related to the event are then extracted from the multimodal information. The representative documents and the other media are for presentation to a user in a storyboard.
摘要翻译：描述了语义主题的自动丰富呈现。在一个方面，评估与语义主题相对应的多模态信息的相应部分，以定位与语义主题相关联的事件。基于文档包含一个或多个人，时间，位置和关键字以及与事件相关联的时间轴的文档分发来确定文档属于事件的概率。对于每个事件，识别客观地确定为基本上代表事件的一个或多个文档。然后从多模态信息中提取与事件相关的一个或多个其他类型的媒体（例如，视频，图像等）。代表性文件和其他媒体用于向故事板中的用户呈现。

2. 发明授权

US08027977B2 Recommending content using discriminatively trained document similarity 有权
标题翻译：使用区别性训练的文档相似性推荐内容
公开(公告)号：US08027977B2
公开(公告)日：2011-09-27
申请号：US11765653
申请日：2007-06-20
申请人： Albert J. K. Thambiratnam , Frank T. B. Seide , Peng Yu , Lie Lu
发明人： Albert J. K. Thambiratnam , Frank T. B. Seide , Peng Yu , Lie Lu
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30722 , G06F17/30616
摘要： A generalized discriminative training framework for reconciling the training and evaluation objectives for document similarity is provided. Prior information about document relations and non-relations, are used to discriminatively train an ensemble of document similarity classification models. This result is a model set that can be used to compute similarity between seen documents in the training sets and new documents. The measure of similarity forms the basis of recommending documents to a user as well as being able to obtain metadata information such as keywords and tags for new documents not having such information.
摘要翻译：提供了一种用于协调文档相似性的培训和评估目标的广义歧视性培训框架。关于文档关系和非关系的先前信息被用于区分性地训练文档相似性分类模型的整体。该结果是可用于计算训练集中的文档和新文档之间的相似性的模型集。相似性度量形成向用户推荐文档的基础，并且能够获得元数据信息，例如不具有这种信息的新文档的关键字和标签。

3. 发明申请

US20100328156A1 SYSTEM FOR DEMODULATING NAVIGATION BITS FROM SATELLITE SIGNALS 有权
标题翻译：用于从卫星信号解调导航位置的系统
公开(公告)号：US20100328156A1
公开(公告)日：2010-12-30
申请号：US12650154
申请日：2009-12-30
申请人： Xiaoguang YU , Haiquan HUANG , Jinghua ZOU , Lin LI , Bo YU , Weihua ZHANG , Lie LU
发明人： Xiaoguang YU , Haiquan HUANG , Jinghua ZOU , Lin LI , Bo YU , Weihua ZHANG , Lie LU
IPC分类号： G01S19/37
CPC分类号： G01S19/24
摘要： A signal processing system for demodulating navigation bits from a satellite signal is disclosed herein. The signal processing system includes a digital baseband processor for determining a boundary between two navigation bits in the navigation bits according to a first plurality of coarse acquisition (C/A) codes captured from the satellite signals, storing the first plurality of C/A codes, and demodulating a second plurality of C/A codes captured after determining the boundary to recover a first series of the navigation bits. The signal processing system further includes a complementary demodulating unit coupled to the digital baseband processor for demodulating the first plurality of C/A codes to recover a second series of the navigation bits.
摘要翻译：本文公开了一种用于从卫星信号解调导航比特的信号处理系统。信号处理系统包括数字基带处理器，用于根据从卫星信号捕获的第一多个粗略采集（C / A）码来确定导航比特中两个导航比特之间的边界，存储第一多个C / A码并且解调在确定所述边界之后捕获的第二多个C / A码，以恢复所述导航比特的第一系列。信号处理系统还包括一个互补解调单元，耦合到数字基带处理器，用于解调第一多个C / A码，以恢复第二系列导航位。

4. 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。

5. 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。

6. 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。

7. 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.

8. 发明申请

US20060060067A1 Beat analysis of musical signals 有权
公开(公告)号：US20060060067A1
公开(公告)日：2006-03-23
申请号：US11264326
申请日：2005-11-01
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 that analyzes 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.

9. 发明授权

US08116746B2 Technologies for finding ringtones that match a user's hummed rendition 有权
标题翻译：找到匹配用户嗡嗡声演绎的铃声的技术
公开(公告)号：US08116746B2
公开(公告)日：2012-02-14
申请号：US11712707
申请日：2007-03-01
申请人： Lie Lu , Yutao Xie , Xing Xie , Jiafan Ou , Ruihao Weng
发明人： Lie Lu , Yutao Xie , Xing Xie , Jiafan Ou , Ruihao Weng
IPC分类号： H04M3/42
CPC分类号： H04M19/04 , G06F17/30743 , G06F17/30758 , G06F17/30864 , G10H2210/056 , G10H2230/021 , H04M3/02 , H04W4/14 , H04W4/16 , H04W88/02
摘要： Described is a technology by which a user hums, sings or otherwise plays a user-provided rendition of a ringtone (or ringback tone) through a mobile telephone to a ringtone search service (e.g., a WAP, interactive voice response or SMS-based search platform). The service matches features of the user's rendition against features of actual ringtones to determine one or more matching candidate ringtones for downloading. Features may include pitch contours (up or down), pitch intervals and durations of notes. Matching candidates may be ranked based on the determined similarity, possibly in conjunction with weighting criterion such as the popularity of the ringtone and/or the importance of the matched part. The candidate set may be augmented with other ringtones independent of the matching, such as the most popular ones downloaded by other users, ringtones from similar artists, and so forth.
摘要翻译：描述了一种用户通过移动电话哼唱，唱歌或以其他方式播放用户提供的铃声（或回铃音）到铃声搜索服务（例如，WAP，交互式语音响应或基于SMS的搜索）的技术平台）。该服务将用户的再现特征与实际铃声的特征相匹配，以确定用于下载的一个或多个匹配的候选铃声。功能可能包括音高轮廓（上或下），音高间隔和音符持续时间。匹配的候选者可以基于所确定的相似度来排序，可能与诸如铃声的普及度和/或匹配部分的重要性的加权标准相结合。候选集可以用独立于匹配的其他铃声进行增强，诸如由其他用户下载的最流行的，来自类似的艺术家的铃声等等。

10. 发明申请

US20080319973A1 RECOMMENDING CONTENT USING DISCRIMINATIVELY TRAINED DOCUMENT SIMILARITY 有权
标题翻译：使用分歧培训的文档类似的建议内容
公开(公告)号：US20080319973A1
公开(公告)日：2008-12-25
申请号：US11765653
申请日：2007-06-20
申请人： Albert J.K. Thambiratnam , Frank T.B. Seide , Peng Yu , Lie Lu
发明人： Albert J.K. Thambiratnam , Frank T.B. Seide , Peng Yu , Lie Lu
IPC分类号： G06F17/30
CPC分类号： G06F17/30722 , G06F17/30616
摘要： A generalized discriminative training framework for reconciling the training and evaluation objectives for document similarity is provided. Prior information about document relations and non-relations, are used to discriminatively train an ensemble of document similarity classification models. This result is a model set that can be used to compute similarity between seen documents in the training sets and new documents. The measure of similarity forms the basis of recommending documents to a user as well as being able to obtain metadata information such as keywords and tags for new documents not having such information.
摘要翻译：提供了一种用于协调文档相似性的培训和评估目标的广义歧视性培训框架。关于文档关系和非关系的先前信息被用于区分性地训练文档相似性分类模型的整体。该结果是可用于计算训练集中的文档和新文档之间的相似性的模型集。相似性度量形成向用户推荐文档的基础，并且能够获得元数据信息，例如不具有这种信息的新文档的关键字和标签。

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