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81. 发明申请

US20110072048A1 CONCEPT-STRUCTURED IMAGE SEARCH 有权
标题翻译：概念结构图像搜索
公开(公告)号：US20110072048A1
公开(公告)日：2011-03-24
申请号：US12565313
申请日：2009-09-23
申请人： Xian-Sheng Hua , Jingdong Wang , Hao Xu
发明人： Xian-Sheng Hua , Jingdong Wang , Hao Xu
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30265
摘要： The concept-structured image search technique described herein pertains to a technique for enabling a user to indicate their semantic intention and then retrieve and rank images from a database or other image set according to this intention. The concept-structured image search technique described herein includes a new interface for image search. With this interface, a user can freely type several key textual words in arbitrary positions on a blank image, and also describe a region for each keyword that indicates its influence scope, which is called concept structure herein. The concept-structured image search technique will return and rank images that are in accordance with the concept structure indicated by the user. One embodiment of the technique can be used to create a synthesized image without actually using the synthesized image to perform a search of an image set.
摘要翻译：本文描述的概念结构图像搜索技术涉及一种使用户能够指示其语义意图，然后根据该意图从数据库或其他图像集中检索和排列图像的技术。本文描述的概念结构图像搜索技术包括用于图像搜索的新界面。通过该接口，用户可以在空白图像上任意位置自由地键入几个关键文本字，并且描述指示其影响范围的每个关键字的区域，这在本文中被称为概念结构。概念结构图像搜索技术将返回并对与用户指示的概念结构相一致的图像进行排序。该技术的一个实施例可以用于创建合成图像而不实际使用合成图像来执行图像集的搜索。

82. 发明授权

US07840898B2 Video booklet 有权
标题翻译：视频小册子
公开(公告)号：US07840898B2
公开(公告)日：2010-11-23
申请号：US11264357
申请日：2005-11-01
申请人： Xian-Sheng Hua , Shipeng Li , Cai-Zhi Zhu
发明人： Xian-Sheng Hua , Shipeng Li , Cai-Zhi Zhu
IPC分类号： G06F3/00 , G06F3/048
CPC分类号： G06F17/30825 , G06F17/30843 , G06F17/30852 , G06K9/00711 , G11B27/105 , G11B27/11 , G11B27/329
摘要： Systems and methods are described for creating a video booklet that allows browsing and search of a video library. In one implementation, each video in the video library is divided into segments. Each segment is represented by a thumbnail image. Signatures of the representative thumbnails are extracted and stored in a database. The thumbnail images are then printed into an artistic paper booklet. A user can photograph one of the thumbnails in the paper booklet to automatically play the video segment corresponding to the thumbnail. Active shape modeling is used to identify and restore the photo information to the form of a thumbnail image from which a signature can be extracted for comparison with the database.
摘要翻译：描述了用于创建允许浏览和搜索视频库的视频小册子的系统和方法。在一个实现中，视频库中的每个视频被分成多个段。每个片段由缩略图形式表示。代表性缩略图的签名被提取并存储在数据库中。然后将缩略图图像打印到艺术纸小册子中。用户可以拍摄纸小册子中的一个缩略图，以自动播放与缩略图对应的视频段。主动形状建模用于将照片信息识别并恢复为缩略图的形式，从中可以提取签名以与数据库进行比较。

83. 发明申请

US20090310854A1 Multi-Label Multi-Instance Learning for Image Classification 有权
标题翻译：图像分类的多标签多实例学习
公开(公告)号：US20090310854A1
公开(公告)日：2009-12-17
申请号：US12140247
申请日：2008-06-16
申请人： Tao Mei , Xian-Sheng Hua , Shipeng Li , Zheng-Jun Zha
发明人： Tao Mei , Xian-Sheng Hua , Shipeng Li , Zheng-Jun Zha
IPC分类号： G06K9/62
CPC分类号： G06K9/4638 , G06K9/342
摘要： Described is a technology by which an image is classified (e.g., grouped and/or labeled), based on multi-label multi-instance data learning-based classification according to semantic labels and regions. An image is processed in an integrated framework into multi-label multi-instance data, including region and image labels. The framework determines local association data based on each region of an image. Other multi-label multi-instance data is based on relationships between region labels of the image, relationships between image labels of the image, and relationships between the region and image labels. These data are combined to classify the image. Training is also described.
摘要翻译：基于根据语义标签和区域的基于多标签多实例数据学习的分类，描述了图像被分类（例如，分组和/或标记）的技术。图像在集成框架中被处理成多标签多实例数据，包括区域和图像标签。该框架基于图像的每个区域确定局部关联数据。其他多标签多实例数据基于图像的区域标签之间的关系，图像的图像标签之间的关系以及区域和图像标签之间的关系。组合这些数据以对图像进行分类。培训也被描述。

84. 发明申请

US20090274434A1 VIDEO CONCEPT DETECTION USING MULTI-LAYER MULTI-INSTANCE LEARNING 有权
标题翻译：使用多层次多实例学习的视频概念检测
公开(公告)号：US20090274434A1
公开(公告)日：2009-11-05
申请号：US12111202
申请日：2008-04-29
申请人： Tao Mei , Xian-Sheng Hua , Shipeng Li , Zhiwei Gu
发明人： Tao Mei , Xian-Sheng Hua , Shipeng Li , Zhiwei Gu
IPC分类号： G11B27/00
CPC分类号： G11B27/28 , G06K9/00711 , G06K9/6282
摘要： Visual concepts contained within a video clip are classified based upon a set of target concepts. The clip is segmented into shots and a multi-layer multi-instance (MLMI) structured metadata representation of each shot is constructed. A set of pre-generated trained models of the target concepts is validated using a set of training shots. An MLMI kernel is recursively generated which models the MLMI structured metadata representation of each shot by comparing prescribed pairs of shots. The MLMI kernel is subsequently utilized to generate a learned objective decision function which learns a classifier for determining if a particular shot (that is not in the set of training shots) contains instances of the target concepts. A regularization framework can also be utilized in conjunction with the MLMI kernel to generate modified learned objective decision functions. The regularization framework introduces explicit constraints which serve to maximize the precision of the classifier.
摘要翻译：视频剪辑中包含的视觉概念基于一组目标概念进行分类。剪辑被分割成镜头，并且构建每个镜头的多层多实例（MLMI）结构化元数据表示。使用一组训练镜头验证了一组预先生成的目标概念训练模型。通过比较规定的拍摄对，递归地生成MLMI内核，以对每个镜头的MLMI结构化元数据表示进行建模。 MLMI内核随后被用于生成学习的客观决策函数，该函数学习用于确定特定镜头（不在该组训练镜头中）是否包含目标概念的实例的分类器。正则化框架也可以与MLMI内核一起使用，以生成修改后的学习目标决策函数。正则化框架引入明确的约束，用于最大化分类器的精度。

85. 发明申请

US20070101387A1 Media Sharing And Authoring On The Web 有权
标题翻译：媒体分享和网络创作
公开(公告)号：US20070101387A1
公开(公告)日：2007-05-03
申请号：US11279793
申请日：2006-04-14
申请人： Xian-Sheng Hua , Shipeng Li
发明人： Xian-Sheng Hua , Shipeng Li
IPC分类号： H04N7/173 , G06F13/00 , H04N5/445 , G06F3/00
CPC分类号： H04N7/173 , G06F17/30793 , G06F17/30802 , G06F17/30811 , G06F17/30817 , G11B27/034 , G11B27/28 , H04N21/234327 , H04N21/2743 , H04N21/44008 , H04N21/4828 , H04N21/6125 , H04N21/84 , H04N21/854
摘要： Exemplary media browsing, searching and authoring tools allow for media interaction over a web. An exemplary method includes acquiring digital video data, coding the digital video data using scalable video coding to generate scalable coded digital video data, analyzing the scalable coded digital video data using one or more video filters to generate information pertaining to the scalable coded digital video data and providing web access to the information. Various other exemplary technologies are disclosed.
摘要翻译：示例性媒体浏览，搜索和创作工具允许通过网络进行媒体交互。一种示例性方法包括获取数字视频数据，使用可伸缩视频编码对数字视频数据进行编码以产生可分级编码数字视频数据，使用一个或多个视频滤波器分析可分级编码数字视频数据，以产生与可伸缩编码数字视频数据有关的信息并提供Web访问信息。公开了各种其它示例性技术。

86. 发明授权

US09628673B2 Near-lossless video summarization 有权
公开(公告)号：US09628673B2
公开(公告)日：2017-04-18
申请号：US12768769
申请日：2010-04-28
申请人： Tao Mei , Xian-Sheng Hua , Shipeng Li , Lin-Xie Tang
发明人： Tao Mei , Xian-Sheng Hua , Shipeng Li , Lin-Xie Tang
IPC分类号： H04N5/14 , G06K9/00 , G11B27/034 , G11B27/10 , G11B27/28 , H04N21/81 , H04N21/84 , H04N21/845 , H04N21/8549 , H04N19/159 , H04N19/61 , H04N19/25
CPC分类号： H04N5/144 , G06K9/00751 , G11B27/034 , G11B27/105 , G11B27/28 , H04N19/159 , H04N19/25 , H04N19/61 , H04N21/816 , H04N21/84 , H04N21/8453 , H04N21/8455 , H04N21/8456 , H04N21/8549
摘要： Described is perceptually near-lossless video summarization for use in maintaining video summaries, which operates to substantially reconstruct an original video in a generally perceptually near-lossless manner. A video stream is summarized with little information loss by using a relatively very small piece of summary metadata. The summary metadata comprises an image set of synthesized mosaics and representative keyframes, audio data, and the metadata about video structure and motion. In one implementation, the metadata is computed and maintained (e.g., as a file) to summarize a relatively large video sequence, by segmenting a video shot into subshots, and selecting keyframes and mosaics based upon motion data corresponding to those subshots. The motion data is maintained as a semantic description associated with the image set. To reconstruct the video, the metadata is processed, including simulating motion using the image set and the semantic description, which recovers the audiovisual content without any significant information loss.

87. 发明授权

US08774526B2 Intelligent image search results summarization and browsing 有权
标题翻译：智能图像搜索结果汇总和浏览
公开(公告)号：US08774526B2
公开(公告)日：2014-07-08
申请号：US12701969
申请日：2010-02-08
申请人： Jingdong Wang , Xian-Sheng Hua
发明人： Jingdong Wang , Xian-Sheng Hua
IPC分类号： G06K9/62 , G06K9/68 , G06T17/05 , G06K9/00
CPC分类号： G06K9/6202 , G06F17/30247 , G06F17/30274 , G06K9/00456 , G06K9/00476 , G06K9/00536 , G06K9/00617 , G06K9/00677 , G06K9/62 , G06T17/05
摘要： Techniques for intelligent image search results summarization and browsing scheme are described. Images having visual attributes are evaluated for similarities based in part on their visual attributes. At least one preference score indicating a probability of an image to be selected into a summary is calculated for each image. Images are selected based on the similarity of the selected images to the other images and the preference scores of the selected images. A summary of the plurality of images is generated including the selected one individual image.
摘要翻译：描述了智能图像搜索结果汇总和浏览方案的技术。根据其视觉属性，对具有视觉属性的图像进行相似度的评估。针对每个图像计算指示将图像选择为概要的概率的至少一个偏好分数。基于所选择的图像与其他图像的相似度以及所选图像的偏好分数来选择图像。生成包括所选择的一个单独图像的多个图像的概要。

88. 发明授权

US08671346B2 Smart video thumbnail 有权
标题翻译：智能视频缩略图
公开(公告)号：US08671346B2
公开(公告)日：2014-03-11
申请号：US11704543
申请日：2007-02-09
申请人： Xian-Sheng Hua , Fei Wang , Zhike Kong , Shipeng Li , Waiman Lam , Zach Johnson , Mark Young , Aaron DeYonker , Mark Schwesinger
发明人： Xian-Sheng Hua , Fei Wang , Zhike Kong , Shipeng Li , Waiman Lam , Zach Johnson , Mark Young , Aaron DeYonker , Mark Schwesinger
IPC分类号： G06F3/048 , G06F3/00 , G06F13/00 , G06F3/12 , G06K9/00
CPC分类号： G06F17/30793 , G06F17/30802 , G06F17/30843 , G06K9/036 , G11B27/28 , H04N5/76 , H04N5/91 , H04N9/8227
摘要： Described herein is technology for, among other things, selecting a representative thumbnail from a video clip. The technology involves analyzing frames of the video clip to determine which frames are stable, the result of the analysis being a number of segments of stable frames. From the stable segments, a number of candidate segments are selected, where candidate segments are those segments determined to a degree of certainty to be program content. The representative thumbnail is then selected from among the frames of the candidate segments.
摘要翻译：这里描述的是用于从视频剪辑中选择代表性缩略图的技术。该技术涉及分析视频剪辑的帧以确定哪些帧是稳定的，分析的结果是稳定帧的多个段。从稳定段中，选择多个候选段，其中候选段是确定为程度内容的程度的那些段。然后从候选片段的帧中选择代表性缩略图。

89. 发明授权

US08489589B2 Visual search reranking 有权
标题翻译：视觉搜索重新排列
公开(公告)号：US08489589B2
公开(公告)日：2013-07-16
申请号：US12701283
申请日：2010-02-05
申请人： Tao Mei , Xian-Sheng Hua , Shipeng Li , Yuan Liu
发明人： Tao Mei , Xian-Sheng Hua , Shipeng Li , Yuan Liu
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/3053 , G06F17/30554
摘要： An initial ranked list of a first plurality of visual documents is obtained from a first source in response to a query, and a second plurality of visual documents relevant to the query is gathered from a plurality of second sources. Visual patterns identified from the second plurality of visual documents are compared with the first visual documents for reranking the first visual documents.
摘要翻译：响应于查询，从第一来源获得第一多个视觉文档的初始排列列表，并且从多个第二源收集与查询相关的第二多个视觉文档。将从第二多个视觉文档识别的视觉图案与用于重新排列第一视觉文档的第一视觉文档进行比较。

90. 发明授权

US08207989B2 Multi-video synthesis 有权
标题翻译：多视频综合
公开(公告)号：US08207989B2
公开(公告)日：2012-06-26
申请号：US12334231
申请日：2008-12-12
申请人： Tao Mei , Xian-Sheng Hua , Shipeng Li , Teng Li
发明人： Tao Mei , Xian-Sheng Hua , Shipeng Li , Teng Li
IPC分类号： H04N9/74
CPC分类号： G11B27/036
摘要： Embodiments that provide multi-video synthesis are disclosed. In accordance with one embodiment, multi-video synthesis includes breaking a main video into a plurality of main frames and break a supplementary video into a plurality of supplementary frames. The multi-video synthesis also includes assigning one or more supplementary frames into each of a plurality of states of a Hidden Markov Model (HMM), where each of the plurality of states corresponding to one or more main frames. The multi-video synthesis further includes determining optimal frames in the plurality of main frames for insertion of the plurality of supplementary frames based on the plurality of states and visual properties. The optimal frames include optimal insertion positions. The multi-video synthesis additionally includes inserting the plurality of supplementary frames into the optimal insertion positions to form a synthesized video.
摘要翻译：公开了提供多视频合成的实施例。根据一个实施例，多视频合成包括将主视频分解成多个主帧并将辅助视频分解成多个补充帧。多视频合成还包括将一个或多个补充帧分配给隐马尔可夫模型（HMM）的多个状态中的每个状态，其中多个状态中的每个状态对应于一个或多个主帧。多视频合成还包括基于多个状态和视觉属性来确定多个主帧中的最佳帧以插入多个补充帧。最佳帧包括最佳插入位置。多视频合成还包括将多个辅助帧插入最佳插入位置以形成合成视频。

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