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21. 发明授权

US07519231B2 Hierarchical scheme for blur detection in a digital image 有权
标题翻译：数字图像中模糊检测的分层方案
公开(公告)号：US07519231B2
公开(公告)日：2009-04-14
申请号：US11770433
申请日：2007-06-28
申请人： Mingjing Li , Hao Wu , Hong-Jiang Zhang
发明人： Mingjing Li , Hao Wu , Hong-Jiang Zhang
IPC分类号： G06K9/40 , G06K9/36
CPC分类号： G06T7/12 , G06T2207/10016 , G06T2207/20016 , G06T2207/20064
摘要： Methods and apparatuses are provided for detecting blur within digital images using Cepstrum analysis blur detection techniques that are able to detect motion blur and/or out-of-focus blur.
摘要翻译：提供了使用能够检测运动模糊和/或失焦模糊的倒谱分析模糊检测技术来检测数字图像内的模糊的方法和装置。

22. 发明申请

US20080013861A1 Hierarchical Scheme for Blur Detection in a Digital Image 有权
标题翻译：数字图像中模糊检测的分层方案
公开(公告)号：US20080013861A1
公开(公告)日：2008-01-17
申请号：US11770433
申请日：2007-06-28
申请人： Mingjing Li , Hao Wu , Hong-Jiang Zhang
发明人： Mingjing Li , Hao Wu , Hong-Jiang Zhang
IPC分类号： G06K9/36
CPC分类号： G06T7/12 , G06T2207/10016 , G06T2207/20016 , G06T2207/20064
摘要： Methods and apparatuses are provided for detecting blur within digital images using Cepstrum analysis blur detection techniques that are able to detect motion blur and/or out-of-focus blur.
摘要翻译：提供了使用能够检测运动模糊和/或失焦模糊的倒谱分析模糊检测技术来检测数字图像内的模糊的方法和装置。

23. 发明授权

US07218760B2 Stereo-coupled face shape registration 有权
标题翻译：立体耦合面形配准
公开(公告)号：US07218760B2
公开(公告)日：2007-05-15
申请号：US10610494
申请日：2003-06-30
申请人： Lie Gu , Li Ziqing , Hong-Jiang Zhang
发明人： Lie Gu , Li Ziqing , Hong-Jiang Zhang
IPC分类号： G06K9/00
CPC分类号： G06K9/00281
摘要： A face model having outer and inner facial features is matched to that of first and second models. Each facial feature of the first and second models is represented by plurality of points that are adjusted for each matching outer and inner facial feature of the first and second models using 1) the corresponding epipolar constraint for the inner features of the first and second models. 2) Local grey-level structure of both outer and inner features of the first and second models. The matching and the adjusting are repeated, for each of the first and second models, until the points for each of the outer and inner facial features on the respective first and second models that are found to match that of the face model have a relative offset there between of not greater than a predetermined convergence tolerance. The inner facial features can include a pair of eyes, a nose and a mouth. The outer facial features can include a pair of eyebrows and a silhouette of the jaw, chin, and cheeks.
摘要翻译：具有外部和内部面部特征的面部模型与第一和第二模型的面部模型相匹配。第一和第二模型的每个面部特征由对于第一和第二模型的每个匹配的外部和内部面部特征进行调整的多个点表示，使用1）用于第一和第二模型的内部特征的对应的对极限制。 2）第一和第二模型的外部和内部特征的局部灰度结构。重复匹配和调整，对于第一和第二模型中的每一个，直到被发现与面部模型相匹配的相应第一和第二模型上的每个外部和内部面部特征的点具有相对偏移量其间存在不大于预定的会聚容限。内部的面部特征可以包括一双眼睛，鼻子和嘴巴。外部面部特征可以包括一对眉毛和下巴，下巴和脸颊的轮廓。

24. 发明授权

US07565016B2 Learning-based automatic commercial content detection 失效
标题翻译：基于学习的自动商业内容检测
公开(公告)号：US07565016B2
公开(公告)日：2009-07-21
申请号：US11623304
申请日：2007-01-15
申请人： Xian-Sheng Hua , Lie Lu , Mingjing Li , Hong-Jiang Zhang
发明人： Xian-Sheng Hua , Lie Lu , Mingjing Li , Hong-Jiang Zhang
IPC分类号： G06K9/72 , H04H9/00
CPC分类号： G06K9/00711
摘要： Systems and methods for learning-based automatic commercial content detection are described. In one aspect, the systems and methods include a training component and an analyzing component. The training component trains a commercial content classification model using a kernel support vector machine. The analyzing component analyzes program data such as video and audio data using the commercial content classification model and one or more of single-side left neighborhood(s) and right neighborhood(s) of program data segments. Based on this analysis, each of the program data segments are classified as being commercial or non-commercial segments.
摘要翻译：描述了基于学习的自动商业内容检测的系统和方法。一方面，系统和方法包括训练组件和分析组件。训练组件使用内核支持向量机训练商业内容分类模型。分析组件使用商业内容分类模型和程序数据段的单侧左邻居和右邻居中的一个或多个来分析诸如视频和音频数据的程序数据。基于此分析，每个程序数据段被分类为商业或非商业领域。

25. 发明授权

US07231381B2 Media content search engine incorporating text content and user log mining 失效
标题翻译：包含文本内容和用户日志挖掘的媒体内容搜索引擎
公开(公告)号：US07231381B2
公开(公告)日：2007-06-12
申请号：US09805626
申请日：2001-03-13
申请人： Mingjing Li , Hong-Jiang Zhang , Wen-Yin Liu , Zhen Chen
发明人： Mingjing Li , Hong-Jiang Zhang , Wen-Yin Liu , Zhen Chen
IPC分类号： G06F17/30
CPC分类号： G06F17/30017 , Y10S707/913 , Y10S707/915 , Y10S707/99933 , Y10S707/99935 , Y10S707/99936
摘要： Text features corresponding to pieces of media content (e.g., images, audio, multimedia content, etc.) are extracted from media content sources. One or more text features (e.g., one or more words) for a piece of media content are extracted from text associated with the piece of media content and text feature vectors generated therefrom and used during subsequent searching. Additional low-level feature vectors may also be extracted from the piece of media content and used during the subsequent searching. Relevance feedback can also be received from a user(s) identifying the relevance of pieces of media content rendered to the user in response to his or her search request. The relevance feedback is logged and can be used in determining how to respond to subsequent search requests, such as by modifying feature vectors (e.g., text feature vectors) corresponding to the pieces of media content for which relevance feedback is received.
摘要翻译：从媒体内容源提取对应于媒体内容（例如，图像，音频，多媒体内容等）的文本特征。从与其相关联的文本内容和从其生成的文本特征向量的文本中提取用于一段媒体内容的一个或多个文本特征（例如，一个或多个单词），并在随后的搜索期间使用。还可以从媒体内容中提取附加的低级特征向量，并在随后的搜索期间使用。还可以从用户识别响应于他或她的搜索请求而呈现给用户的媒体内容的相关性的用户接收到相关性反馈。记录相关性反馈，并且可以用于确定如何响应随后的搜索请求，例如通过修改对应于接收到相关性反馈的多条媒体内容的特征向量（例如，文本特征向量）。

26. 发明授权

US07164798B2 Learning-based automatic commercial content detection 失效
标题翻译：基于学习的自动商业内容检测
公开(公告)号：US07164798B2
公开(公告)日：2007-01-16
申请号：US10368235
申请日：2003-02-18
申请人： Xian-Sheng Hua , Lie Lu , Mingjing Li , Hong-Jiang Zhang
发明人： Xian-Sheng Hua , Lie Lu , Mingjing Li , Hong-Jiang Zhang
IPC分类号： G06K9/72 , H04H9/00
CPC分类号： G06K9/00711
摘要： Systems and methods for learning-based automatic commercial content detection are described. In one aspect, program data is divided into multiple segments. The segments are analyzed to determine visual, audio, and context-based feature sets that differentiate commercial content from non-commercial content. The context-based features are a function of single-side left and/or right neighborhoods of segments of the multiple segments.
摘要翻译：描述了基于学习的自动商业内容检测的系统和方法。在一个方面，程序数据被分成多个段。分析段以确定将商业内容与非商业内容区分开的视觉，音频和基于上下文的特征集。基于上下文的特征是多个段的单侧左和/或右邻域的函数。

27. 发明授权

US07430566B2 Statistical bigram correlation model for image retrieval 有权
标题翻译：图像检索统计二值相关模型
公开(公告)号：US07430566B2
公开(公告)日：2008-09-30
申请号：US11056555
申请日：2005-02-11
申请人： Mingjing Li , Zheng Chen , Liu Wenyin , Hong-Jiang Zhang
发明人： Mingjing Li , Zheng Chen , Liu Wenyin , Hong-Jiang Zhang
IPC分类号： G06F17/30
CPC分类号： G06F17/30247 , Y10S707/99933 , Y10S707/99935 , Y10S707/99936 , Y10S707/99945 , Y10S707/99948
摘要： The disclosed subject matter improves iterative results of content-based image retrieval (CBIR) using a bigram model to correlate relevance feedback. Specifically, multiple images are received responsive to multiple image search sessions. Relevance feedback is used to determine whether the received images are semantically relevant. A respective semantic correlation between each of at least one pair of the images is then estimated using respective bigram frequencies. The bigram frequencies are based on multiple search sessions in which each image of a pair of images is semantically relevant.
摘要翻译：所公开的主题改进了基于内容的图像检索（CBIR）的迭代结果，其使用二元模型来相关联反馈。具体地，响应于多个图像搜索会话接收多个图像。相关性反馈用于确定接收的图像是否具有语义相关性。然后使用相应的二进制频率来估计至少一对图像中的每一个之间的相应语义相关性。双频频率基于多个搜索会话，其中一对图像的每个图像在语义上相关。

28. 发明授权

US07336890B2 Automatic detection and segmentation of music videos in an audio/video stream 有权
标题翻译：在音频/视频流中自动检测和分割音乐视频
公开(公告)号：US07336890B2
公开(公告)日：2008-02-26
申请号：US10370314
申请日：2003-02-19
申请人： Lie Lu , Yan-Feng Sun , Mingjing Li , Xian-Sheng Hua , Hong-Jiang Zhang
发明人： Lie Lu , Yan-Feng Sun , Mingjing Li , Xian-Sheng Hua , Hong-Jiang Zhang
IPC分类号： H04N7/00 , H04N5/91 , H04N5/93 , G06K9/46 , G10L11/00 , G06F15/173
CPC分类号： H04H60/37 , G06F17/30787 , G06F17/30796 , G06K9/00711 , G11B27/034 , G11B27/28 , G11B2220/218 , G11B2220/2545 , G11B2220/2562 , H04H60/58 , H04H60/59 , H04H60/74 , H04N5/147 , H04N5/4401 , H04N5/602 , H04N21/4332 , H04N21/4394 , H04N21/44008 , H04N21/44204 , H04N21/8456
摘要： A “music video parser” automatically detects and segments music videos in a combined audio-video media stream. Automatic detection and segmentation is achieved by integrating shot boundary detection, video text detection and audio analysis to automatically detect temporal boundaries of each music video in the media stream. In one embodiment, song identification information, such as, for example, a song name, artist name, album name, etc., is automatically extracted from the media stream using video optical character recognition (OCR). This information is then used in alternate embodiments for cataloging, indexing and selecting particular music videos, and in maintaining statistics such as the times particular music videos were played, and the number of times each music video was played.
摘要翻译： “音乐视频解析器”自动检测并分割组合的音频 - 视频媒体流中的音乐视频。通过集成镜头边界检测，视频文本检测和音频分析来自动检测和分割，可以自动检测媒体流中每个音乐视频的时间边界。在一个实施例中，使用视频光学字符识别（OCR）从媒体流中自动提取歌曲识别信息，例如歌曲名称，歌手姓名，专辑名称等。然后，将该信息用于编目，索引和选择特定音乐视频以及维持诸如特定音乐视频播放的时间的统计数据以及播放每个音乐视频的次数的备选实施例。

29. 发明授权

US07257273B2 Hierarchical scheme for blur detection in digital image using wavelet transform 有权
标题翻译：使用小波变换的数字图像中模糊检测的分层方案
公开(公告)号：US07257273B2
公开(公告)日：2007-08-14
申请号：US10646387
申请日：2003-08-22
申请人： Mingjing Li , Hao Wu , Hong-Jiang Zhang
发明人： Mingjing Li , Hao Wu , Hong-Jiang Zhang
IPC分类号： G06K9/36 , G06K9/46
CPC分类号： G06T7/12 , G06T2207/10016 , G06T2207/20016 , G06T2207/20064
摘要： Methods and apparatuses are provided for detecting blur within digital images using wavelet transform and/or Cepstrum analysis blur detection techniques that are able to detect motion blur and/or out-of-focus blur.
摘要翻译：提供了用于使用能够检测运动模糊和/或离焦模糊的小波变换和/或倒谱分析模糊检测技术来检测数字图像内的模糊的方法和装置。

30. 发明申请

US20070112583A1 Learning-Based Automatic Commercial Content Detection 失效
标题翻译：基于学习的自动商业内容检测
公开(公告)号：US20070112583A1
公开(公告)日：2007-05-17
申请号：US11623304
申请日：2007-01-15
申请人： Xian-Sheng Hua , Lie Lu , Mingjing Li , Hong-Jiang Zhang
发明人： Xian-Sheng Hua , Lie Lu , Mingjing Li , Hong-Jiang Zhang
IPC分类号： G06Q10/00
CPC分类号： G06K9/00711
摘要： Systems and methods for learning-based automatic commercial content detection are described. In one aspect, the systems and methods include a training component and an analyzing component. The training component trains a commercial content classification model using a kernel support vector machine. The analyzing component analyzes program data such as video and audio data using the commercial content classification model and one or more of single-side left neighborhood(s) and right neighborhood(s) of program data segments. Based on this analysis, each of the program data segments are classified as being commercial or non-commercial segments.
摘要翻译：描述了基于学习的自动商业内容检测的系统和方法。一方面，系统和方法包括训练组件和分析组件。训练组件使用内核支持向量机训练商业内容分类模型。分析组件使用商业内容分类模型和程序数据段的单侧左邻居和右邻居中的一个或多个来分析诸如视频和音频数据的程序数据。基于此分析，每个程序数据段被分类为商业或非商业领域。

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