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公开(公告)号:US06636648B2
公开(公告)日:2003-10-21
申请号:US09347310
申请日:1999-07-02
IPC分类号: G06K936
CPC分类号: G06T11/60
摘要: An albuming method includes the automatic adaptation of the page layout of a plurality of images to a boundary condition of an event. The method includes the steps of receiving a plurality of images having event-determining information that relates to one or more events to which the images pertain and the generation of an event boundary based on the on the event-determining information. The images for each event are then laid out into a page format adapted to the event boundary determined for that event. For example, if the page format is determined to have a maximum number of images per page, and if the number of images remaining for the last page are fewer than the maximum number, the page layout of the last or more pages of the event is automatically adapted to the event boundary by, e.g., adjusting the arrangement of the pictures on the last page.
摘要翻译: 相册方法包括将多个图像的页面布局自动适应于事件的边界条件。 该方法包括以下步骤:基于事件确定信息,接收具有与图像所属的一个或多个事件和事件边界的生成有关的事件确定信息的多个图像。 然后将每个事件的图像布置成适合于为该事件确定的事件边界的页面格式。 例如,如果页面格式被确定为具有每页最大数量的图像,并且如果最后页面剩余的图像数量少于最大数量,则事件的最后或更多页面的页面布局为 通过例如调整最后一页上的图像的布置来自动地适应于事件边界。
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72.
公开(公告)号:US09218367B2
公开(公告)日:2015-12-22
申请号:US13463183
申请日:2012-05-03
IPC分类号: G06F17/30
CPC分类号: G06F17/30265 , G06F17/30551
摘要: The invention relates generally to the field of digital image processing, and in particular to a method for associating and viewing related video and still images. In particular, the present invention is directed to methods for associating and/or viewing digital content records comprising ordering a first set of digital content records and the second set of digital content records based upon information associated with each of the digital content records.
摘要翻译: 本发明一般涉及数字图像处理领域,特别涉及一种用于关联和观看相关视频和静止图像的方法。 特别地,本发明涉及用于关联和/或查看数字内容记录的方法,包括基于与每个数字内容记录相关联的信息来排序第一组数字内容记录和第二组数字内容记录。
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公开(公告)号:US08897560B2
公开(公告)日:2014-11-25
申请号:US13624986
申请日:2012-09-24
CPC分类号: G06K9/00664
摘要: A method for determining an estimated clutter level of an input digital image based on an inequality index. The inequality index is determined by analyzing the input digital image to determine a set of image features. The image features are associated with a set of designated reference features, and the inequality index is determined based on the statistical variation of the reference features. A set of scene content features relating to spatial structures or semantic content of the input digital image is determined by analyzing the input digital image. The estimated clutter is determined responsive to the inequality index and the scene content features.
摘要翻译: 一种用于基于不等式指数来确定输入数字图像的估计杂波电平的方法。 通过分析输入数字图像来确定一组图像特征来确定不等式指数。 图像特征与一组指定的参考特征相关联,并且基于参考特征的统计变化来确定不等式指数。 通过分析输入数字图像来确定与输入数字图像的空间结构或语义内容相关的一组场景内容特征。 响应于不等式指数和场景内容特征确定估计的杂波。
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公开(公告)号:US08699852B2
公开(公告)日:2014-04-15
申请号:US13269753
申请日:2011-10-10
申请人: Wei Jiang , Alexander C. Loui
发明人: Wei Jiang , Alexander C. Loui
IPC分类号: H04N5/92
CPC分类号: H04N21/8405 , G06F17/30784 , G06K9/00718 , G06K9/00744 , H04N21/2743 , H04N21/4332 , H04N21/44008
摘要: A method for determining a semantic concept classification for a digital video clip, comprising: receiving an audio-visual dictionary including a plurality of audio-visual grouplets, the audio-visual grouplets including visual background and foreground codewords, audio background and foreground codewords, wherein the codewords in a particular audio-visual grouplet were determined to be correlated with each other; determining reference video codeword similarity scores for a set of reference video clips; determining codeword similarity scores for the digital video clip; determining a reference video similarity score for each reference video clip representing a similarity between the digital video clip and the reference video clip responsive to the audio-visual grouplets, the codeword similarity scores and the reference video codeword similarity scores; and determining one or more semantic concept classifications using trained semantic classifiers responsive to the determined reference video similarity scores.
摘要翻译: 一种用于确定数字视频剪辑的语义概念分类的方法,包括:接收包括多个视听小组的视听词典,所述视听小组包括视觉背景和前景码字,音频背景和前景码字,其中 确定特定视听小组中的码字彼此相关; 确定一组参考视频剪辑的参考视频码字相似性得分; 确定所述数字视频剪辑的码字相似性得分; 响应于所述视听小组,所述码字相似度得分和所述参考视频码字相似性得分,确定表示所述数字视频剪辑和所述参考视频剪辑之间的相似性的每个参考视频剪辑的参考视频相似性分数; 以及响应于所确定的参考视频相似性分数,使用经过训练的语义分类器来确定一个或多个语义概念分类。
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公开(公告)号:US20140063536A1
公开(公告)日:2014-03-06
申请号:US13598310
申请日:2012-08-29
申请人: Minwoo Park , Dhiraj Joshi , Alexander C. Loui
发明人: Minwoo Park , Dhiraj Joshi , Alexander C. Loui
CPC分类号: G09G5/006 , G09G5/26 , G09G5/40 , G09G2340/10 , H04L51/32
摘要: Computing a scale factor to insert a first set of shapes into a second set of shapes to form a combined image includes receiving the two sets of shapes, using a processor to convert the first set of shapes into a set of rectangles and the second set of shapes into a set of intervals and computing the scale factor for either the set of intervals or the set of rectangles to generate the combined image by iteratively inserting the set of rectangles into the set of intervals and updating the scale factor in response to a residual area or an overflow area until all the rectangles in the set of rectangles have been inserted into the set of intervals and the residual area in the set of intervals is below a threshold, and storing the combined image in memory.
摘要翻译: 计算比例因子以将第一组形状插入到第二组形状中以形成组合图像包括使用处理器来接收两组形状,以将第一组形状转换为一组矩形,并且第二组 形成一组间隔,并且通过迭代地将该组矩形迭代地插入到该组间隔中并且响应于剩余区域更新比例因子来计算间隔集合或矩形集合的比例因子以生成组合图像 或溢出区域,直到该组矩形中的所有矩形已经被插入到该组间隔中,并且该间隔集合中的剩余区域低于阈值,并将组合的图像存储在存储器中。
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公开(公告)号:US08625904B2
公开(公告)日:2014-01-07
申请号:US13221078
申请日:2011-08-30
申请人: Madirakshi Das , Alexander C. Loui
发明人: Madirakshi Das , Alexander C. Loui
IPC分类号: G06K9/68
CPC分类号: G06K9/6212 , G06F17/30056 , G06F17/30265
摘要: A method of identifying groups of related digital images in a digital image collection, comprising: analyzing each of the digital images to generate associated feature descriptors related to image content or image capture conditions; storing the feature descriptors associated with the digital images in a metadata database; automatically analyzing the metadata database to identify a plurality of frequent itemsets, wherein each of the frequent itemsets is a co-occurring feature descriptor group that occurs in at least a predefined fraction of the digital images; determining a probability of occurrence for each the identified frequent itemsets; determining a quality score for each of the identified frequent itemsets responsive to the determined probability of occurrence; ranking the frequent itemsets based at least on the determined quality scores; and identifying one or more groups of related digital images corresponding to one or more of the top ranked frequent itemsets.
摘要翻译: 一种在数字图像集合中识别相关数字图像组的方法,包括:分析每个数字图像以生成与图像内容或图像捕获条件相关的相关联的特征描述符; 将与数字图像相关联的特征描述符存储在元数据数据库中; 自动分析元数据数据库以识别多个频繁项集,其中每个频繁项集是在数字图像的至少预定义分数中出现的共同出现的特征描述符组; 确定每个所识别的频繁项集的出现概率; 响应于所确定的发生概率,确定每个所识别的频繁项集的质量得分; 至少基于确定的质量得分对频繁项集进行排序; 以及识别与一个或多个最高排名的频繁项集相对应的一组或多组相关数字图像。
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公开(公告)号:US08611677B2
公开(公告)日:2013-12-17
申请号:US12273600
申请日:2008-11-19
申请人: Madirakshi Das , Alexander C. Loui , Mark D. Wood
发明人: Madirakshi Das , Alexander C. Loui , Mark D. Wood
CPC分类号: G06F17/30598 , G06F17/30247 , G06F17/30265 , G06K9/00664
摘要: A method of automatically classifying images in a consumer digital image collection, includes generating an event representation of the image collection; computing global time-based features for each event within the hierarchical event representation; computing content-based features for each image in an event within the hierarchical event representation; combining content-based features for each image in an event to generate event-level content-based features; and using time-based features and content-based features for each event to classify an event into one of a pre-determined set of semantic categories.
摘要翻译: 一种在消费者数字图像集合中自动分类图像的方法,包括:生成图像集合的事件表示; 计算分层事件表示中每个事件的全局时基特征; 在层次事件表示内的事件中计算每个图像的基于内容的特征; 在事件中为每个图像组合基于内容的特征以生成基于事件级的基于内容的特征; 以及为每个事件使用基于时间的特征和基于内容的特征来将事件分类成预定义的语义类别集合之一。
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78.
公开(公告)号:US20130251340A1
公开(公告)日:2013-09-26
申请号:US13425455
申请日:2012-03-21
申请人: Wei Jiang , Alexander C. Loui
发明人: Wei Jiang , Alexander C. Loui
IPC分类号: H04N5/91
CPC分类号: G06K9/00718 , G06K9/00744 , G06K9/4676
摘要: A method for determining a semantic concept classification for a digital video clip based on a grouplet dictionary that includes a plurality of temporally-correlated grouplets. The temporally-correlated grouplets include textual codewords and either visual codewords or audio codewords, wherein the codewords in a particular temporally-correlated grouplet were determined to be correlated with each other based on analysis of a set of training videos. Reference video codeword similarity scores are determined for a set of reference video clips, and codeword similarity scores are determined for the digital video clip. A reference video similarity score is determined for each reference video clip representing a similarity between the digital video clip and the reference video clip based on the reference video codeword similarity scores, the codeword similarity scores, and the temporally-correlated grouplets. One or more semantic concept classifications are determined using trained semantic classifiers responsive to the determined reference video similarity scores.
摘要翻译: 一种用于基于包括多个时间相关小区的小组字典来确定数字视频剪辑的语义概念分类的方法。 时间相关小区包括文本码字和视觉码字或音频码字,其中基于一组训练视频的分析,将特定时间相关小区小区中的码字确定为彼此相关。 对于一组参考视频剪辑确定参考视频码字相似性分数,并且为数字视频剪辑确定码字相似性分数。 基于参考视频码字相似度分数,码字相似度分数和时间相关小区,为表示数字视频剪辑和参考视频剪辑之间的相似性的每个参考视频剪辑确定参考视频相似性分数。 响应于所确定的参考视频相似性分数,使用经过训练的语义分类器来确定一个或多个语义概念分类。
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公开(公告)号:US20130089303A1
公开(公告)日:2013-04-11
申请号:US13269742
申请日:2011-10-10
申请人: Wei Jiang , Alexander C. Loui
发明人: Wei Jiang , Alexander C. Loui
IPC分类号: H04N5/93
CPC分类号: H04N5/93 , G11B27/28 , H04N21/233 , H04N21/23418
摘要: A method for determining a semantic concept classification for a digital video clip, comprising: receiving an audio-visual dictionary including a plurality of audio-visual grouplets, the audio-visual grouplets including visual background and foreground codewords, audio background and foreground codewords, wherein the codewords in a particular audio-visual grouplet were determined to be correlated with each other; analyzing the digital video clip to determine a set of visual features and a set of audio features; determining similarity scores between the digital video clip and each of the audio-visual grouplets by comparing the set of visual features to any visual background and foreground codewords associated with a particular audio-visual grouplet, and comparing the set of audio features to any audio background and foreground codewords associated with the particular audio-visual grouplet; and determining one or more semantic concept classifications using trained semantic classifiers.
摘要翻译: 一种用于确定数字视频剪辑的语义概念分类的方法,包括:接收包括多个视听小组的视听词典,所述视听小组包括视觉背景和前景码字,音频背景和前景码字,其中 确定特定视听小组中的码字彼此相关; 分析数字视频剪辑以确定一组视觉特征和一组音频特征; 通过将视觉特征的集合与与特定视听小组相关联的任何视觉背景和前景码字进行比较,以及将该组音频特征与任何音频背景进行比较来确定数字视频剪辑和每个视听小组之间的相似性得分 以及与特定视听小组相关联的前景码字; 以及使用经训练的语义分类器确定一个或多个语义概念分类。
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公开(公告)号:US08358358B2
公开(公告)日:2013-01-22
申请号:US12983904
申请日:2011-01-04
申请人: Andrew C. Gallagher , Samuel M. Fryer , Alexander C. Loui , Jason R. Oliver , Neal Eckhaus , Kenneth A. Parulski
发明人: Andrew C. Gallagher , Samuel M. Fryer , Alexander C. Loui , Jason R. Oliver , Neal Eckhaus , Kenneth A. Parulski
IPC分类号: H04N5/76
CPC分类号: H04N1/32128 , G06F17/30265 , G06F17/30551 , G06K9/00677
摘要: A method for associating event times or time periods with digital images in a collection for determining if a digital image is of interest, includes storing a collection of digital images each having an associated capture time; comparing the associated capture time in the collection with a special event time to determine if a digital image in the collection is of interest, wherein the comparing step includes calculation of a special event time associated with a special event based on the calendar time associated with the special event and using such information to perform the comparison step; and associating digital images of interest with the special event.
摘要翻译: 一种用于将事件时间或时间段与集合中的数字图像相关联以确定数字图像是否感兴趣的方法,包括存储每个具有相关联的捕获时间的数字图像的集合; 将所述集合中的相关联的捕获时间与特殊事件时间进行比较,以确定所述集合中的数字图像是否是感兴趣的,其中所述比较步骤包括基于与所述特定事件相关联的日历时间来计算与特殊事件相关联的特殊事件时间 特殊事件并使用这些信息来执行比较步骤; 并将感兴趣的数字图像与特殊事件相关联。
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