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71. 发明授权

US08219511B2 Unbiased active learning 有权
标题翻译：不偏不倚的主动学习
公开(公告)号：US08219511B2
公开(公告)日：2012-07-10
申请号：US12391511
申请日：2009-02-24
申请人： Linjun Yang , Bo Geng , Xian-Sheng Hua
发明人： Linjun Yang , Bo Geng , Xian-Sheng Hua
IPC分类号： G06F15/18 , G06F17/10 , G06N3/08
CPC分类号： G06N99/005
摘要： Techniques described herein create an accurate active-learning model that takes into account a sample selection bias of elements, such as images, selected for labeling by a user. These techniques select a first set of elements for labeling. Once a user labels these elements, the techniques calculate a sample selection bias of the selected elements and train a model that takes into account the sample selection bias. The techniques then select a second set of elements based, in part, on a sample selection bias of the elements. Again, once a user labels the second set of elements the techniques train the model while taking into account the calculated sample selection bias. Once the trained model satisfies a predefined stop condition, the techniques use the trained model to predict labels for the remaining unlabeled elements.
摘要翻译：本文描述的技术创建了一种精确的主动学习模型，其考虑了由用户选择进行标签选择的元素（例如图像）的样本选择偏差。这些技术选择用于标记的第一组元素。一旦用户标记了这些元素，这些技术就会计算所选元素的样本选择偏差，并训练考虑样本选择偏倚的模型。然后，技术部分地基于元素的样本选择偏差来选择第二组元素。同样，一旦用户标记第二组元素，则该技术训练模型，同时考虑计算的样本选择偏差。一旦训练的模型满足预定义的停止条件，该技术使用经过训练的模型来预测剩余的未标记元素的标签。

72. 发明授权

US08196032B2 Template-based multimedia authoring and sharing 有权
标题翻译：基于模板的多媒体创作和共享
公开(公告)号：US08196032B2
公开(公告)日：2012-06-05
申请号：US11263718
申请日：2005-11-01
申请人： Xian-Sheng Hua , Shipeng Li
发明人： Xian-Sheng Hua , Shipeng Li
IPC分类号： G06F17/00 , G06F3/00
CPC分类号： G11B27/034
摘要： Systems and methods for template-based multimedia authoring and sharing are described. In one aspect, media content is selectively applied to a content description template to author media in a content description. The content description template provides a temporal structure for the applied media content. A content representation template is selected and combined with the temporally structured media in the content description to specify rendering criteria and generate a content description and representation for one or more of rendering, sharing, and exporting the temporally structured authored media.
摘要翻译：描述了基于模板的多媒体创作和共享的系统和方法。在一个方面，媒体内容被选择性地应用于内容描述模板以在内容描述中创作媒体。内容描述模板提供所应用的媒体内容的时间结构。选择内容表示模板并与内容描述中的时间结构化媒体组合以指定呈现标准，并且生成用于呈现，共享和导出时间上结构化的创作媒体中的一个或多个的内容描述和表示。

73. 发明申请

US20110293177A1 Efficient Image and Video Recoloring for Colorblindness 有权
标题翻译：有效的图像和视频重绘的色盲
公开(公告)号：US20110293177A1
公开(公告)日：2011-12-01
申请号：US12790176
申请日：2010-05-28
申请人： Meng Wang , Linjun Yang , Xian-Sheng Hua , Bo Liu
发明人： Meng Wang , Linjun Yang , Xian-Sheng Hua , Bo Liu
IPC分类号： G06K9/00
CPC分类号： A61B3/066 , H04N1/465 , H04N1/58 , H04N1/6075
摘要： Colors of images and videos are modified to make differences in the colors more perceptible to colorblind users. An exemplary recoloring process utilizes a color space transformation, a local color rotation and a global color rotation to transform colors of visual objects from colors which may not be distinguishable by the colorblind user to colors which may be distinguishable by the colorblind user.
摘要翻译：修改了图像和视频的颜色，以使颜色变得更加明显，使得用户无法察觉。示例性的再染色过程利用颜色空间变换，局部颜色旋转和全局颜色旋转来将可视对象的颜色从颜色变化的颜色变换为可能被色盲用户区分开来的颜色，这些颜色可以由着色用户区分。

74. 发明申请

US20110288929A1 Enhancing Photo Browsing through Music and Advertising 有权
标题翻译：通过音乐和广告增强照片浏览
公开(公告)号：US20110288929A1
公开(公告)日：2011-11-24
申请号：US12786020
申请日：2010-05-24
申请人： Tao Mei , Xian-Sheng Hua , Shipeng Li , Jinlian Guo , Fei Sheng
发明人： Tao Mei , Xian-Sheng Hua , Shipeng Li , Jinlian Guo , Fei Sheng
IPC分类号： G06Q30/00 , G06F17/30 , G06Q10/00
CPC分类号： G06F17/30056 , G06F17/30047 , G06Q30/02 , G06Q30/0243
摘要： Techniques for recommending music and advertising to enhance a user's experience while photo browsing are described. In some instances, songs and ads are ranked for relevance to at least one photo from a photo album. The songs, ads and photo(s) from the photo album are then mapped to a style and mood ontology to obtain vector-based representations. The vector-based representations can include real valued terms, each term associated with a human condition defined by the ontology. A re-ranking process generates a relevancy term for each song and each ad indicating relevancy to the photo album. The relevancy terms can be calculated by summing weighted terms from the ranking and the mapping. Recommended music and ads may then be provided to a user, as the user browses a series of photos obtained from the photo album. The ads may be seamlessly embedded into the music in a nonintrusive manner.
摘要翻译：描述用于推荐音乐和广告以提高用户在照相浏览时体验的技术。在某些情况下，歌曲和广告的排名与相册中的至少一张照片相关。然后将相册中的歌曲，广告和照片映射到风格和心境本体以获得基于矢量的表示。基于向量的表示可以包括实际值，每个术语与由本体定义的人类条件相关联。重新排序过程产生每个歌曲的相关术语，每个广告指示相册的相关性。可以通过从排名和映射求和加权项来计算相关项。然后，当用户浏览从相册获得的一系列照片时，推荐的音乐和广告可以被提供给用户。广告可以无缝地嵌入到音乐中。

75. 发明申请

US20110176724A1 Content-Aware Ranking for Visual Search 有权
标题翻译：内容感知视觉搜索排名
公开(公告)号：US20110176724A1
公开(公告)日：2011-07-21
申请号：US12690817
申请日：2010-01-20
申请人： Linjun Yang , Bo Geng , Xian-Sheng Hua
发明人： Linjun Yang , Bo Geng , Xian-Sheng Hua
IPC分类号： G06K9/62
CPC分类号： G06K9/6252
摘要： This document describes techniques that utilize a learning method to generate a ranking model for use in image search systems. The techniques leverage textual information and visual information simultaneously when generating the ranking model. The tools are further configured to apply the ranking model responsive to receiving an image search query.
摘要翻译：本文档描述了利用学习方法生成用于图像搜索系统的排名模型的技术。该技术在生成排名模型时同时利用文本信息和视觉信息。所述工具还被配置为响应于接收图像搜索查询来应用排序模型。

76. 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。

77. 发明申请

US20100158412A1 INTERACTIVELY RANKING IMAGE SEARCH RESULTS USING COLOR LAYOUT RELEVANCE 有权
标题翻译：使用彩色布局相关的互动排名图像搜索结果
公开(公告)号：US20100158412A1
公开(公告)日：2010-06-24
申请号：US12341953
申请日：2008-12-22
申请人： Jingdong Wang , Shipeng Li , Xian Sheng Hua , Yinghai Zhao
发明人： Jingdong Wang , Shipeng Li , Xian Sheng Hua , Yinghai Zhao
IPC分类号： G06K9/54 , G06F17/30
CPC分类号： G06K9/00624 , G06F17/3025
摘要： This disclosure describes various exemplary user interfaces, methods, and computer program products for the interactively ranking image search results refinement method using a color layout. The method includes receiving a text query for an image search, presenting image search results in a structured presentation based on the text query and information from an interest color layout. The process creates image search results that may be selected by the user based on color selection palettes or color layout specification schemes. Then the process ranks the image search results by sorting the results according to similarity scores between color layouts from the image search results and the interest color layout from a user based on the color selection palettes and the color layout specification schemes.
摘要翻译：本公开描述了使用颜色布局的用于交互式排序的图像搜索结果细化方法的各种示例性用户界面，方法和计算机程序产品。该方法包括接收用于图像搜索的文本查询，基于文本查询和来自兴趣颜色布局的信息在结构化表示中呈现图像搜索结果。该过程创建可以由用户基于颜色选择调色板或颜色布局规范方案来选择的图像搜索结果。然后，该过程通过根据来自图像搜索结果的颜色布局与基于颜色选择调色板和颜色布局规范方案的用户的兴趣颜色布局之间的相似性分数来排序结果来排序图像搜索结果。

78. 发明申请

US20100106486A1 IMAGE-BASED SEMANTIC DISTANCE 有权
标题翻译：基于图像的语义距离
公开(公告)号：US20100106486A1
公开(公告)日：2010-04-29
申请号：US12340632
申请日：2008-12-19
申请人： Xian-Sheng Hua , Lei Wu , Shipeng Li
发明人： Xian-Sheng Hua , Lei Wu , Shipeng Li
IPC分类号： G06F17/27 , G06K9/00
CPC分类号： G06K9/723 , G06K9/6226
摘要： Image-based semantic distance technique embodiments are presented that involve establishing a measure of an image-based semantic distance between semantic concepts. Generally, this entails respectively computing a semantic concept representation for each concept based on a collection of images associated with the concept. A degree of difference is then computed between two semantic concept representations to produce the aforementioned semantic distance measure for the pair of corresponding concepts.
摘要翻译：提出了基于图像的语义距离技术实施例，其涉及建立语义概念之间基于图像的语义距离的度量。通常，这需要基于与该概念相关联的图像的集合来分别计算每个概念的语义概念表示。然后在两个语义概念表示之间计算差异程度，以产生用于该对相应概念的上述语义距离度量。

79. 发明申请

US20100082614A1 BAYESIAN VIDEO SEARCH RERANKING 有权
标题翻译： BAYESIAN视频搜索RERANKING
公开(公告)号：US20100082614A1
公开(公告)日：2010-04-01
申请号：US12235509
申请日：2008-09-22
申请人： Linjun Yang , Jingdong Wang , Xian-Sheng Hua , Xinmei Tian
发明人： Linjun Yang , Jingdong Wang , Xian-Sheng Hua , Xinmei Tian
IPC分类号： G06F7/06 , G06F17/30
CPC分类号： G06F17/30802 , G06F17/30817 , G06K9/6256 , G06K9/6259 , G06K9/6296
摘要： A general framework for video search reranking is disclosed which explicitly formulates reranking into a global optimization problem from the Bayesian perspective. Under this framework, with two novel pair-wise ranking distances, two effective video search reranking methods, hinge reranking and preference strength reranking, are disclosed. Experiments conducted on the TRECVID dataset have demonstrated that the disclosed methods outperform several existing reranking approaches.
摘要翻译：披露了视频搜索重新排列的一般框架，从贝叶斯角度明确地将重新排列到全局优化问题中。在这个框架下，通过两个新的成对排名距离，公开了两个有效的视频搜索重新排序方法，铰链重新排列和优先权重新排序。在TRECVID数据集上进行的实验表明，所公开的方法优于现有的几种重新排序方法。

80. 发明申请

US20090292685A1 VIDEO SEARCH RE-RANKING VIA MULTI-GRAPH PROPAGATION 审中-公开
标题翻译：视频搜索通过多图传播重新排序
公开(公告)号：US20090292685A1
公开(公告)日：2009-11-26
申请号：US12125059
申请日：2008-05-22
申请人： Jingjing Liu , Xian-Sheng Hua , Wei Lai , Shipeng Li
发明人： Jingjing Liu , Xian-Sheng Hua , Wei Lai , Shipeng Li
IPC分类号： G06F7/06 , G06F17/30
CPC分类号： G06F16/73 , G06F16/78
摘要： A video search re-ranking via multi-graph propagation technique employing multimodal fusion in video search is presented. It employs not only textual and visual features, but also semantic and conceptual similarity between video shots to rank or re-rank the search results received in response to a text-based search query. In one embodiment, the technique employs an object-sensitive approach to query analysis to improve the baseline result of text-based video search. The technique then employs a graph-based approach to text-based search result ranking or re-ranking. To better exploit the underlying relationship between video shots, the re-ranking scheme simultaneously leverages textual relevancy, semantic concept relevancy, and low-level-feature-based visual similarity. The technique constructs a set of graphs with the video shots as vertices, and the conceptual and visual similarity between video shots as hyperlinks. A modified topic-sensitive PageRank algorithm is then applied to these graphs to determine the overall relevancy ranking.
摘要翻译：提出了一种通过视频搜索中采用多模态融合的多图传播技术进行视频搜索重排。它不仅使用文本和视觉特征，而且还采用视频镜头之间的语义和概念相似性来对响应于基于文本的搜索查询接收的搜索结果进行排序或重新排序。在一个实施例中，该技术采用对象敏感方法来查询分析以改进基于文本的视频搜索的基线结果。然后，该技术采用基于图形的方法来进行基于文本的搜索结果排序或重新排序。为了更好地利用视频镜头之间的根本关系，重新排列方案同时利用文本相关性，语义概念相关性和基于低级特征的视觉相似性。该技术构建了一组视频镜头作为顶点的图形，以及作为超链接的视频镜头之间的概念和视觉相似性。然后，将修改后的主题敏感的PageRank算法应用于这些图形以确定整体相关性排名。

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