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1. 发明授权

US06915011B2 Event clustering of images using foreground/background segmentation 有权
标题翻译：使用前景/背景分割的图像的事件聚类
公开(公告)号：US06915011B2
公开(公告)日：2005-07-05
申请号：US09819385
申请日：2001-03-28
申请人： Alexander C. Loui , Matthieu Jeanson , Zhaohui Sun
发明人： Alexander C. Loui , Matthieu Jeanson , Zhaohui Sun
IPC分类号： G06F17/30 , G06K9/00 , G06T7/00 , G06K9/62 , G06K9/34
CPC分类号： G06F17/3028 , G06F17/3025 , G06K9/00664
摘要： An event clustering method uses foreground and background segmentation for clustering images from a group into similar events. Initially, each image is divided into a plurality of blocks, thereby providing block-based images. Utilizing a block-by-block comparison, each block-based image is segmented into a plurality of regions comprising at least a foreground and a background. One or more luminosity, color, position or size features are extracted from the regions and the extracted features are utilized to estimate and compare the similarity of the regions comprising the foreground and background in successive images in the group. Then, a measure of the total similarity between successive images is computed, thereby providing image distance between successive images, and event clusters are delimited from the image distances.
摘要翻译：事件聚类方法使用前景和背景分割将图像从一组聚类到类似的事件。最初，每个图像被分成多个块，从而提供基于块的图像。利用逐块比较，将每个基于块的图像分割成包括至少前景和背景的多个区域。从区域提取一个或多个亮度，颜色，位置或大小特征，并且使用提取的特征来估计和比较组中连续图像中包括前景和背景的区域的相似度。然后，计算连续图像之间的总相似度的度量，从而提供连续图像之间的图像距离，并且从图像距离界定事件簇。

2. 发明授权

US06993180B2 Method and system for automated grouping of images 失效
公开(公告)号：US06993180B2
公开(公告)日：2006-01-31
申请号：US09945969
申请日：2001-09-04
申请人： Zhaohui Sun , Alexander C. Loui
发明人： Zhaohui Sun , Alexander C. Loui
IPC分类号： G06K9/00
CPC分类号： G06F17/3025 , Y10S707/99945 , Y10S707/99948
摘要： A method of automated content-based grouping of digital images without using auxiliary metadata and training data set, comprises the steps of computing a color correlogram from image pixel values for each of the digital images, grouping the color correlograms into groups within a hierarchical structure based on relative similarities of the color correlograms, and assigning the images to the groups based on the hierarchical structure of the color correlograms.

3. 发明申请

US20080247458A1 SYSTEM AND METHOD TO COMPOSE A SLIDE SHOW 审中-公开
标题翻译：用于组合幻灯片的系统和方法
公开(公告)号：US20080247458A1
公开(公告)日：2008-10-09
申请号：US12124490
申请日：2008-05-21
申请人： Zhaohui Sun , Alexander C. Loui , Jonathan K. Riek
发明人： Zhaohui Sun , Alexander C. Loui , Jonathan K. Riek
IPC分类号： H04N11/02 , H04N5/781 , G06K9/40
CPC分类号： H04N5/765 , G06F16/4393 , G11B27/034 , G11B2220/2545 , G11B2220/2562 , H04N5/775 , H04N5/781 , H04N5/85 , H04N5/907
摘要： A method of composing a multimedia slide show. In a preferred embodiment, the method comprises the steps of: selecting a plurality of digital images; encoding each of the plurality of digital images to generate a normal resolution image portion and a high resolution image portion; multiplexing each corresponding normal and high resolution image portion to generate a single high resolution still image; determining a time parameter for each of the high resolution still images; selecting an audio portion for at least one of the plurality of digital images; concatenating the plurality of high resolution still images to generate a video bitstream; generating an audio bitstream by encoding the audio portion; and multiplexing the video bitstream and audio bitstream to generate the multimedia slide show.
摘要翻译：组合多媒体幻灯片的方法。在优选实施例中，该方法包括以下步骤：选择多个数字图像; 编码所述多个数字图像中的每一个以生成正常分辨率图像部分和高分辨率图像部分; 复用每个对应的正常和高分辨率图像部分以产生单个高分辨率静止图像; 确定每个所述高分辨率静止图像的时间参数; 为所述多个数字图像中的至少一个选择音频部分; 连接多个高分辨率静止图像以产生视频位流; 通过对音频部分进行编码来产生音频比特流; 并且多路复用视频比特流和音频比特流以产生多媒体幻灯片放映。

4. 发明授权

US07394969B2 System and method to compose a slide show 有权
标题翻译：组合幻灯片的系统和方法
公开(公告)号：US07394969B2
公开(公告)日：2008-07-01
申请号：US10316556
申请日：2002-12-11
申请人： Zhaohui Sun , Alexander C. Loui , Jonathan K. Riek
发明人： Zhaohui Sun , Alexander C. Loui , Jonathan K. Riek
IPC分类号： H04N5/91
CPC分类号： G06F17/30056 , G11B27/034 , G11B2220/2545 , G11B2220/2562 , H04N5/765 , H04N5/775 , H04N5/781 , H04N5/85 , H04N5/907
摘要： A method of composing a multimedia slide show. In a preferred embodiment, the method comprises the steps of: selecting a plurality of digital images; encoding each of the plurality of digital images to generate a normal resolution image portion and a high resolution image portion; multiplexing each corresponding normal and high resolution image portion to generate a single high resolution still image; determining a time parameter for each of the high resolution still images; selecting an audio portion for at least one of the plurality of digital images; concatenating the plurality of high resolution still images to generate a video bitstream; generating an audio bitstream by encoding the audio portion; and multiplexing the video bitstream and audio bitstream to generate the multimedia slide show.
摘要翻译：组合多媒体幻灯片的方法。在优选实施例中，该方法包括以下步骤：选择多个数字图像; 编码所述多个数字图像中的每一个以生成正常分辨率图像部分和高分辨率图像部分; 复用每个对应的正常和高分辨率图像部分以产生单个高分辨率静止图像; 确定每个所述高分辨率静止图像的时间参数; 为所述多个数字图像中的至少一个选择音频部分; 连接多个高分辨率静止图像以产生视频位流; 通过对音频部分进行编码来产生音频比特流; 并且多路复用视频比特流和音频比特流以产生多媒体幻灯片放映。

5. 发明授权

US06993196B2 Digital image storage method 失效
公开(公告)号：US06993196B2
公开(公告)日：2006-01-31
申请号：US10100438
申请日：2002-03-18
申请人： Zhaohui Sun , Alexander C. Loui , James S. Warnick
发明人： Zhaohui Sun , Alexander C. Loui , James S. Warnick
IPC分类号： G06K9/36
CPC分类号： G06T1/00
摘要： A method of storing a digital image file, includes the steps of: storing a header defined by a standard; storing image data encoded according to the standard after the header; and storing an image tail containing non-standard meta-data at the end of the image data.

6. 发明授权

US08989503B2 Identifying scene boundaries using group sparsity analysis 有权
标题翻译：使用组稀疏分析识别场景边界
公开(公告)号：US08989503B2
公开(公告)日：2015-03-24
申请号：US13565919
申请日：2012-08-03
申请人： Mrityunjay Kumar , Alexander C. Loui , Bruce Harold Pillman
发明人： Mrityunjay Kumar , Alexander C. Loui , Bruce Harold Pillman
IPC分类号： G06K9/48
CPC分类号： G06K9/00765 , G06K9/00 , G06K9/00751 , G06K9/48 , G06K9/6249 , G06K2009/4695
摘要： A method for identifying a set of key video frames from a video sequence comprising extracting feature vectors for each video frame and applying a group sparsity algorithm to represent the feature vector for a particular video frame as a group sparse combination of the feature vectors for the other video frames. Weighting coefficients associated with the group sparse combination are analyzed to determine video frame clusters of temporally-contiguous, similar video frames. The video sequence is segmented into scenes by identifying scene boundaries based on the determined video frame clusters.
摘要翻译：一种用于从视频序列中识别一组关键视频帧的方法，包括提取每个视频帧的特征向量，并且应用组稀疏算法来表示特定视频帧的特征向量作为另一个的特征向量的组稀疏组合视频帧。分析与组稀疏组合相关联的加权系数，以确定时间上相邻的类似视频帧的视频帧聚类。通过基于确定的视频帧聚类识别场景边界，将视频序列分割成场景。

7. 发明授权

US08976299B2 Scene boundary determination using sparsity-based model 有权
标题翻译：使用基于稀疏性模型的场景边界确定
公开(公告)号：US08976299B2
公开(公告)日：2015-03-10
申请号：US13413982
申请日：2012-03-07
申请人： Mrityunjay Kumar , Abdolreza Abdolhosseini Moghadam , Alexander C. Loui , Jiebo Luo
发明人： Mrityunjay Kumar , Abdolreza Abdolhosseini Moghadam , Alexander C. Loui , Jiebo Luo
IPC分类号： H04N7/50 , G11B27/28 , H04N5/14 , H04N21/44 , H04N21/8549
CPC分类号： H04N5/144 , G11B27/28 , H04N21/44008 , H04N21/8549
摘要： A method for determining a scene boundary location dividing a first scene and a second scene in an input video sequence. The scene boundary location is determined responsive to a merit function value, which is a function of the candidate scene boundary location. The merit function value for a particular candidate scene boundary location is determined by representing the dynamic scene content for the input video frames before and after candidate scene boundary using sparse combinations of a set of basis functions, wherein the sparse combinations of the basis functions are determined by finding a sparse vector of weighting coefficients for each of the basis functions. The weighting coefficients determined for each of the input video frames are combined to determine the merit function value. The candidate scene boundary providing the smallest merit function value is designated to be the scene boundary location.
摘要翻译：一种用于确定在输入视频序列中划分第一场景和第二场景的场景边界位置的方法。响应于作为候选场景边界位置的函数的优值函数值来确定场景边界位置。通过使用一组基函数的稀疏组合表示候选场景边界之前和之后的输入视频帧的动态场景内容来确定特定候选场景边界位置的优值函数值，其中确定基函数的稀疏组合通过找出每个基本函数的加权系数的稀疏矢量。为每个输入视频帧确定的加权系数被组合以确定优值函数值。提供最小优值函数值的候选场景边界被指定为场景边界位置。

8. 发明授权

US08786889B2 Method for computing scale for tag insertion 有权
标题翻译：计算标签插入尺度的方法
公开(公告)号：US08786889B2
公开(公告)日：2014-07-22
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
IPC分类号： G06K15/00 , G06F3/12 , G06K9/20 , G06K9/34
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。

9. 发明申请

US20140063555A1 Method For Generating Tag Layouts 有权
标题翻译：生成标签布局的方法
公开(公告)号：US20140063555A1
公开(公告)日：2014-03-06
申请号：US13598202
申请日：2012-08-29
申请人： Minwoo Park , Dhiraj Joshi , Alexander C. Loui , Amit Singhal
发明人： Minwoo Park , Dhiraj Joshi , Alexander C. Loui , Amit Singhal
IPC分类号： G06K9/36 , G06K15/02
CPC分类号： G06T11/60 , G06F17/211
摘要： Generating a tag layout from a set of tags and an ordering of the set of tags, wherein each tag includes a text label and a size for the text label, is disclosed. The method further includes receiving at least one closed shape corresponding to a space for the tag layout. A processor computes a scale factor for at least one of the closed shape or the size of the text labels in the set of tags to generate the tag layout of the set of tags within the closed shape such that all the tags in the set of tags fit within the closed shape and the tags are placed in the space based at least upon the ordering of the tags in the set of tags.
摘要翻译：公开了一组标签生成标签布局以及该标签集的顺序，其中每个标签包括文本标签和文本标签的尺寸。该方法还包括接收与用于标签布局的空间相对应的至少一个封闭形状。处理器为标签集合中的文本标签的封闭形状或大小中的至少一个计算缩放因子，以生成封闭形状内的标签组的标签布局，使得标签集合中的所有标签适合于封闭形状，并且标签至少基于标签组中的标签的顺序放置在空间中。

10. 发明申请

US20130235275A1 SCENE BOUNDARY DETERMINATION USING SPARSITY-BASED MODEL 有权
标题翻译：使用基于SPARSITY的模型的场景边界确定
公开(公告)号：US20130235275A1
公开(公告)日：2013-09-12
申请号：US13413982
申请日：2012-03-07
申请人： Mrityunjay Kumar , Abdolreza Abdolhosseini Moghadam , Alexander C. Loui , Jiebo Luo
发明人： Mrityunjay Kumar , Abdolreza Abdolhosseini Moghadam , Alexander C. Loui , Jiebo Luo
IPC分类号： H04N5/14
CPC分类号： H04N5/144 , G11B27/28 , H04N21/44008 , H04N21/8549
摘要： A method for determining a scene boundary location dividing a first scene and a second scene in an input video sequence. The scene boundary location is determined responsive to a merit function value, which is a function of the candidate scene boundary location. The merit function value for a particular candidate scene boundary location is determined by representing the dynamic scene content for the input video frames before and after candidate scene boundary using sparse combinations of a set of basis functions, wherein the sparse combinations of the basis functions are determined by finding a sparse vector of weighting coefficients for each of the basis functions. The weighting coefficients determined for each of the input video frames are combined to determine the merit function value. The candidate scene boundary providing the smallest merit function value is designated to be the scene boundary location.
摘要翻译：一种用于确定在输入视频序列中划分第一场景和第二场景的场景边界位置的方法。响应于作为候选场景边界位置的函数的优值函数值确定场景边界位置。通过使用一组基函数的稀疏组合表示候选场景边界之前和之后的输入视频帧的动态场景内容来确定特定候选场景边界位置的优值函数值，其中确定基函数的稀疏组合通过找出每个基本函数的加权系数的稀疏矢量。为每个输入视频帧确定的加权系数被组合以确定优值函数值。提供最小优值函数值的候选场景边界被指定为场景边界位置。

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