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51. 发明申请

US20050021531A1 Community mining based on core objects and affiliated objects 失效
标题翻译：基于核心对象和附属对象的社区挖掘
公开(公告)号：US20050021531A1
公开(公告)日：2005-01-27
申请号：US10624759
申请日：2003-07-22
申请人： Ji-Rong Wen , Wen-Jun Zhou , Wei-Ying Ma , Hong-Jiang Zhang
发明人： Ji-Rong Wen , Wen-Jun Zhou , Wei-Ying Ma , Hong-Jiang Zhang
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/30873 , G06F17/30864
摘要： In community mining based on core objects and affiliated objects, a set of core objects for a community of objects are identified from a plurality of objects. The community is expanded, based on the set of core objects, to include a set of affiliated objects. According to one aspect, a model of a community of objects is obtained by grouping a first collection of a plurality of objects into a center portion, and grouping a second collection of the plurality of objects into one or more concentric portions around the center portion. The groupings of the first and second collections of the objects are identified as the community of objects.
摘要翻译：在基于核心对象和附属对象的社区挖掘中，从多个对象中识别出用于对象社区的一组核心对象。基于一组核心对象扩展社区，包括一组附属对象。根据一个方面，通过将多个对象的第一集合分组成中心部分并将多个对象的第二集合分组成围绕中心部分的一个或多个同心部分来获得对象社区的模型。对象的第一和第二集合的分组被标识为对象的社区。

52. 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。

53. 发明授权

US06748398B2 Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR) 有权
标题翻译：相关性最大化，迭代最小化，相关性反馈，基于内容的图像检索（CBIR）
公开(公告)号：US06748398B2
公开(公告)日：2004-06-08
申请号：US09823534
申请日：2001-03-30
申请人： Hong-Jiang Zhang , Zhong Su , Xingquan Zhu
发明人： Hong-Jiang Zhang , Zhong Su , Xingquan Zhu
IPC分类号： G06F1730
CPC分类号： G06F17/30256 , G06K9/6215 , G06K9/6253 , G06K9/6263 , G06K9/6278 , Y10S707/99931 , Y10S707/99932 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99936 , Y10S707/99943 , Y10S707/99945 , Y10S707/99948
摘要： An implementation of a technology, described herein, for relevance-feedback, content-based facilitating accurate and efficient image retrieval minimizes the number of iterations for user feedback regarding the semantic relevance of exemplary images while maximizing the resulting relevance of each iteration. One technique for accomplishing this is to use a Bayesian classifier to treat positive and negative feedback examples with different strategies. In addition, query refinement techniques are applied to pinpoint the users' intended queries with respect to their feedbacks. These techniques further enhance the accuracy and usability of relevance feedback. This abstract itself is not intended to limit the scope of this patent. The scope of the present invention is pointed out in the appending claims.
摘要翻译：这里描述的用于相关性反馈，基于内容的促进精确和有效的图像检索的技术的实现使得关于示例性图像的语义相关性的用户反馈的迭代次数最小化，同时最大化每次迭代的结果相关性。实现这一点的一种技术是使用贝叶斯分类器来处理具有不同策略的正反馈示例。另外，使用查询优化技术来针对用户对其反馈的预期查询进行定位。这些技术进一步提高了相关性反馈的准确性和可用性。本摘要本身并不旨在限制本专利的范围。在所附权利要求中指出了本发明的范围。

54. 发明授权

US07885960B2 Community mining based on core objects and affiliated objects 失效
标题翻译：基于核心对象和附属对象的社区挖掘
公开(公告)号：US07885960B2
公开(公告)日：2011-02-08
申请号：US10624759
申请日：2003-07-22
申请人： Ji-Rong Wen , Wen-Jun Zhou , Wei-Ying Ma , Hong-Jiang Zhang
发明人： Ji-Rong Wen , Wen-Jun Zhou , Wei-Ying Ma , Hong-Jiang Zhang
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/30873 , G06F17/30864
摘要： In community mining based on core objects and affiliated objects, a set of core objects for a community of objects are identified from a plurality of objects. The community is expanded, based on the set of core objects, to include a set of affiliated objects. According to one aspect, a model of a community of objects is obtained by grouping a first collection of a plurality of objects into a center portion, and grouping a second collection of the plurality of objects into one or more concentric portions around the center portion. The groupings of the first and second collections of the objects are identified as the community of objects.
摘要翻译：在基于核心对象和附属对象的社区挖掘中，从多个对象中识别出用于对象社区的一组核心对象。基于一组核心对象扩展社区，包括一组附属对象。根据一个方面，通过将多个对象的第一集合分组成中心部分并将多个对象的第二集合分组成围绕中心部分的一个或多个同心部分来获得对象社区的模型。对象的第一和第二集合的分组被标识为对象的社区。

55. 发明授权

US07636470B2 Red-eye detection based on red region detection with eye confirmation 有权
公开(公告)号：US07636470B2
公开(公告)日：2009-12-22
申请号：US10958136
申请日：2004-10-04
申请人： Tong-Xian Chen , Xiangrong Chen , John C. Platt , Jie Yan , Hong-Jiang Zhang
发明人： Tong-Xian Chen , Xiangrong Chen , John C. Platt , Jie Yan , Hong-Jiang Zhang
IPC分类号： G06K9/00 , G06K9/40
CPC分类号： G06K9/0061 , G06T7/0002 , G06T7/70 , G06T7/90 , G06T2207/30216 , H04N1/624
摘要： Red-eye detection based on red region detection with eye confirmation initially identifies pixels that correspond to the color of red-eye within an image. A determination is then made as to whether these identified pixels and surrounding areas are part of an eye or not part of an eye. Those identified pixels that are determined to be part of an eye are the detected red-eye regions.

56. 发明申请

US20090185618A1 Streaming Methods and Systems 有权
公开(公告)号：US20090185618A1
公开(公告)日：2009-07-23
申请号：US12356157
申请日：2009-01-20
申请人： Tianming Liu , Hong-Jiang Zhang , Wei Qi
发明人： Tianming Liu , Hong-Jiang Zhang , Wei Qi
IPC分类号： H04N7/12 , H04N11/04 , H04B1/66 , H04J3/22
CPC分类号： H04L65/80 , H04L29/06027 , H04L65/602 , H04L65/607 , H04N19/132 , H04N19/137 , H04N19/152 , H04N19/159 , H04N19/172 , H04N19/34 , H04N19/587 , H04N19/61 , H04N19/87 , H04N21/234327 , H04N21/2401 , H04N21/2402 , H04N21/2662 , H04N21/6373
摘要： Various embodiments provide methods and systems for streaming data that can facilitate streaming during bandwidth fluctuations in a manner that can enhance the user experience. In one aspect, a forward-shifting technique is utilized to buffer data that is to be streamed, e.g. an enhancement layer in a FGS stream. Various techniques can drop layers actively when bandwidth is constant. The saved bandwidth can then be used to pre-stream enhancement layer portions. In another aspect, a content-aware decision can be made as to how to drop enhancement layers when bandwidth decreases. During periods of decreasing bandwidth, if a video segment does not contain important content, the enhancement layers will be dropped to keep the forward-shifting of the enhancement layer unchanged. If the enhancement layer does contain important content, it will be transmitted later when bandwidth increases.

57. 发明授权

US07529732B2 Image retrieval systems and methods with semantic and feature based relevance feedback 有权
标题翻译：图像检索系统和方法具有基于语义和特征的相关性反馈
公开(公告)号：US07529732B2
公开(公告)日：2009-05-05
申请号：US10900574
申请日：2004-07-28
申请人： Wen-Yin Liu , Hong-Jiang Zhang , Ye Lu
发明人： Wen-Yin Liu , Hong-Jiang Zhang , Ye Lu
IPC分类号： G06F17/30
CPC分类号： G06F17/30265 , G06F17/30256 , G06F19/00 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： An image retrieval system performs both keyword-based and content-based image retrieval. A user interface allows a user to specify queries using a combination of keywords and examples images. Depending on the input query, the image retrieval system finds images with keywords that match the keywords in the query and/or images with similar low-level features, such as color, texture, and shape. The system ranks the images and returns them to the user. The user interface allows the user to identify images that are more relevant to the query, as well as images that are less or not relevant to the query. The user may alternatively elect to refine the search by selecting one example image from the result set and submitting its low-level features in a new query. The image retrieval system monitors the user feedback and uses it to refine any search efforts and to train itself for future search queries. In the described implementation, the image retrieval system seamlessly integrates feature-based relevance feedback and semantic-based relevance feedback.
摘要翻译：图像检索系统执行基于关键词和基于内容的图像检索。用户界面允许用户使用关键字和示例图像的组合来指定查询。根据输入查询，图像检索系统查找与查询中的关键字匹配的关键字和/或具有类似低级特征（如颜色，纹理和形状）的图像。系统对图像进行排序并将其返回给用户。用户界面允许用户识别与查询更相关的图像，以及与查询较少或不相关的图像。用户可以选择通过从结果集中选择一个示例图像并在新查询中提交其低级特征来优化搜索。图像检索系统监视用户反馈，并使用它来优化任何搜索工作，并训练自己以用于将来的搜索查询。在所描述的实现中，图像检索系统将基于特征的相关性反馈和基于语义的相关性反馈无缝集成。

58. 发明申请

US20090100330A1 Function-based Object Model for Use in WebSite Adaptation 有权
标题翻译：基于功能的对象模型用于网站适应
公开(公告)号：US20090100330A1
公开(公告)日：2009-04-16
申请号：US12264566
申请日：2008-11-04
申请人： Jin-Lin Chen , Yudong Yang , Hong-Jiang Zhang
发明人： Jin-Lin Chen , Yudong Yang , Hong-Jiang Zhang
IPC分类号： G06F17/00
CPC分类号： G06F17/3089
摘要： By understanding a website author's intention through an analysis of the function of a website, website content can be adapted for presentation or rendering in a manner that more closely appreciates and respects the function behind the website. Various inventive systems and methods analyze a website's function so that its content can be adapted to different client environments, e.g. devices, network conditions, or user preferences. A novel function-based object model automatically identifies objects associated with a website, and analyzes those objects in terms of their functions. The function-based object model permits consistent, informed decisions to be made in the adaptation process, so that web content is displayed not only in an organized manner, but in a manner that reflects the author's intention.
摘要翻译：通过对网站功能的分析了解网站作者的意图，网站内容可以以更加欣赏和尊重网站背后的功能的方式进行呈现或呈现。各种发明的系统和方法分析网站的功能，使得其内容可以适应于不同的客户端环境，例如，设备，网络条件或用户偏好。基于功能的新型对象模型自动识别与网站相关联的对象，并根据其功能对这些对象进行分析。基于功能的对象模型允许在适应过程中做出一致的，明智的决定，使得网页内容不仅以有组织的方式显示，而且以反映作者意图的方式显示。

59. 发明授权

US07519217B2 Method and system for generating a classifier using inter-sample relationships 有权
标题翻译：使用样本间关系生成分类器的方法和系统
公开(公告)号：US07519217B2
公开(公告)日：2009-04-14
申请号：US10997073
申请日：2004-11-23
申请人： Tie-Yan Liu , Zhike Kong , Hong-Jiang Zhang
发明人： Tie-Yan Liu , Zhike Kong , Hong-Jiang Zhang
IPC分类号： G06K9/62 , G06K9/68
CPC分类号： G06K9/00711 , G06K9/6292
摘要： A method and system for generating a classifier to classify sub-objects of an object based on a relationship between sub-objects is provided. The classification system provides training sub-objects along with the actual classification of each training sub-object. The classification system may iteratively train sub-classifiers based on feature vectors representing the features of each sub-object, the actual classification of the sub-object, and a weight associated with the sub-object. After a sub-classifier is trained, the classification system classifies the training sub-objects using the trained sub-classifier. The classification system then adjusts the classifications based on relationships between training sub-objects. The classification system assigns a weight for the sub-classifier and weight for each sub-object based on the accuracy of the adjusted classifications.
摘要翻译：提供了一种用于生成分类器以根据子对象之间的关系对对象的子对象进行分类的方法和系统。分类系统提供训练子对象以及每个训练子对象的实际分类。分类系统可以基于表示每个子对象的特征，子对象的实际分类以及与子对象相关联的权重的特征向量迭代地训练子分类器。在训练子分类器之后，分类系统使用经过训练的子分类器对训练子对象进行分类。然后，分类系统基于训练子对象之间的关系来调整分类。分类系统根据调整后的分类的准确性为每个子对象分配子分类器的权重和权重。

60. 发明授权

US07312819B2 Robust camera motion analysis for home video 有权
标题翻译：用于家庭视频的强大的相机运动分析
公开(公告)号：US07312819B2
公开(公告)日：2007-12-25
申请号：US10720677
申请日：2003-11-24
申请人： Yu-Fei Ma , Hong-Jiang Zhang , Dongjun Lan
发明人： Yu-Fei Ma , Hong-Jiang Zhang , Dongjun Lan
IPC分类号： H04N5/228 , G06K9/00
CPC分类号： G06T7/20 , H04N5/145 , H04N17/002
摘要： A robust camera motion analysis method is described. In an implementation, a method includes analyzing video having sequential frames to determine one or more camera motions that occurred when sequential frames of the video were captured. The one or more camera motions for each frame are described by a set of displacement curves, a mean absolute difference (MAD) curve, and a major motion (MAJ) curve. The set of displacement curves describe the one or more camera motions in respective horizontal (H), vertical (V), and radial (R) directions. The MAD curve relates a minimum MAD value from the set of displacement curves. The MAJ curve is generated from the minimum MAD value and provides one or more qualitative descriptions that describe the one or more camera motions as at least one of still, vertical, horizontal and radial.
摘要翻译：描述了鲁棒的摄像机运动分析方法。在实现中，一种方法包括分析具有顺序帧的视频，以确定在捕获视频的连续帧时发生的一个或多个相机运动。通过一组位移曲线，平均绝对差（MAD）曲线和主运动（MAJ）曲线来描述每帧的一个或多个相机运动。位移曲线集描述了水平（H），垂直（V）和径向（R）方向上的一个或多个相机运动。 MAD曲线与位移曲线集合中的最小MAD值相关。从最小MAD值生成MAJ曲线，并提供描述一个或多个相机运动作为静止，垂直，水平和径向中的至少一个的一个或多个定性描述。

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