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公开(公告)号：US06185363B2
公开(公告)日：2001-02-06
申请号：US09436196
申请日：1999-11-08
IPC分类号： H04N5783
CPC分类号： G06F17/30843 , G06F17/30814 , G06F17/30852 , G11B27/102 , G11B27/11 , G11B27/28 , G11B27/3027 , G11B27/326 , G11B2220/2562 , G11B2220/65 , G11B2220/90 , H04N5/147 , H04N19/48 , H04N19/90
摘要： A video indexing system analyzes contents of source video and develops a visual table of contents using selected images. The source video is analyzed to detect video cuts from one scene to another, and static scenes. Keyframes are selected for each significant scene. A keyframe filtering process filters out less desired frames including, for example, unicolor frames, or those frames having a same object as a primary focus or one primary focuses. A visual index is created from those frames remaining after the keyframe filtering and stored for retrieval. The visual index may be retrieved by a user who may then display the visual index on a display. The user may select one of the frames displayed in the visual index and the source video may be manually (by the user) or automatically advanced to that frame of the source video. Additionally, a user may print the visual index.
摘要翻译： 视频索引系统分析源视频的内容，并使用选定的图像开发视觉目录。 源视频被分析以检测从一个场景到另一个场景的视频剪辑以及静态场景。 为每个重要场景选择关键帧。 关键帧过滤过滤过滤出不太期望的帧，包括例如单色帧，或具有与主要焦点相同的对象的帧或一个主要焦点。 从关键帧过滤之后剩余的帧创建视觉索引，并存储以供检索。 视觉索引可以由用户检索，然后用户可以在显示器上显示视觉索引。 用户可以选择在视觉索引中显示的帧中的一个，并且源视频可以是手动的（由用户）或自动前进到源视频的帧。 另外，用户可以打印视觉索引。
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公开(公告)号：US08528019B1
公开(公告)日：2013-09-03
申请号：US09442960
申请日：1999-11-18
申请人： Nevenka Dimitrova , Thomas McGee , Jan Hermanus Elenbaas , Lalitha Agnihotri , Radu Jasinschi , Serhan Dagtas , Aaron S Mendelsohn
发明人： Nevenka Dimitrova , Thomas McGee , Jan Hermanus Elenbaas , Lalitha Agnihotri , Radu Jasinschi , Serhan Dagtas , Aaron S Mendelsohn
CPC分类号： H04N21/44222 , G06F17/30787 , G06F17/30796 , G06F17/30811 , G06F17/30828 , H04H60/27 , H04H60/46 , H04H60/58 , H04H60/59 , H04H60/65 , H04H60/72 , H04N7/163 , H04N21/434 , H04N21/4351 , H04N21/44008 , H04N21/4532 , H04N21/4622 , H04N21/4755
摘要： A method of selecting, storing and delivering desired audio/data/visual information includes the steps of determining viewing preferences of a viewer and receiving a first group of audio/data/visual signals, for example, broadcast and cable television signals or internet-based signals. Based on the first group of audio/data/visual signals, a second group of audio/data/visual signals, which is a subset of the first group of audio/data/visual signals, is identified. The second group of audio/data/visual signals is selected based on the association of EPG data for each signal with the viewing preferences of the viewer. Content data is then extracted from the second group of audio/data/visual signals and compared with the viewing preferences. The content data may include, for example, closed-captioned text, EPG data, audio information, visual information and transcript information. Based on the comparison of the content data extracted from the second group of audio/data/visual signals with the viewing preferences, audio/data/visual information contained in the second group of audio/data/visual signals which is of interest to the viewer is identified and stored for review at the viewers convenience.
摘要翻译： 选择，存储和传送所需音频/数据/视觉信息的方法包括以下步骤：确定观看者的观看偏好并接收第一组音频/数据/视觉信号，例如广播和有线电视信号或基于因特网 信号。 基于第一组音频/数据/视觉信号，识别作为第一组音频/数据/视觉信号的子集的第二组音频/数据/视觉信号。 基于每个信号的EPG数据与观看者的观看偏好的关联来选择第二组音频/数据/视觉信号。 然后从第二组音频/数据/视觉信号中提取内容数据，并与观看偏好进行比较。 内容数据可以包括例如闭路字幕文本，EPG数据，音频信息，视觉信息和抄本信息。 基于从第二组音频/数据/视觉信号提取的内容数据与观看偏好的比较，包含在观众感兴趣的第二组音频/数据/视觉信号中的音频/数据/视觉信息 被识别并存储在观众的方便审查。
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公开(公告)号：US06473095B1
公开(公告)日：2002-10-29
申请号：US09116769
申请日：1998-07-16
IPC分类号： G06T1100
CPC分类号： G06K9/00711 , G06T7/00 , G11B27/28 , G11B2220/90 , H04N21/44008
摘要： In order to characterize video content, key frames are identified in that content. The key frames are collapsed into histograms. The histograms are grouped into families. The families are each represented by a family histogram. The family histograms characterize the video content. The family histograms can be used to determine program boundaries or index the video content.
摘要翻译： 为了表征视频内容，在该内容中标识关键帧。 关键帧被折叠成直方图。 直方图被分组成系列。 家庭由家庭直方图表示。 家庭直方图表征视频内容。 家族直方图可用于确定节目边界或索引视频内容。
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公开(公告)号：US6125229A
公开(公告)日：2000-09-26
申请号：US867145
申请日：1997-06-02
IPC分类号： H04N5/76 , G06F17/30 , G11B27/10 , G11B27/11 , G11B27/28 , G11B27/30 , G11B27/32 , H04N5/14 , H04N7/26 , H04N5/783
CPC分类号： G06F17/30843 , G06F17/30814 , G06F17/30852 , G11B27/11 , G11B27/28 , G11B27/3027 , G11B27/326 , H04N19/48 , H04N19/90 , H04N5/147 , G11B2220/2562 , G11B2220/65 , G11B2220/90 , G11B27/102
摘要： A video indexing system analyzes contents of source video and develops a visual table of contents using selected images. The source video is analyzed to detect video cuts from one scene to another, and static scenes. Keyframes are selected for each significant scene. A keyframe filtering process filters out less desired frames including, for example, unicolor frames, or those frames having a same object as a primary focus or one primary focuses. A visual index is created from those frames remaining after the keyframe filtering and stored for retrieval. The visual index may be retrieved by a user who may then display the visual index on a display. The user may select one of the frames displayed in the visual index and the source video may be manually (by the user) or automatically advanced to that frame of the source video. Additionally, a user may print the visual index.
摘要翻译： 视频索引系统分析源视频的内容，并使用选定的图像开发视觉目录。 源视频被分析以检测从一个场景到另一个场景的视频剪辑以及静态场景。 为每个重要场景选择关键帧。 关键帧过滤过滤过滤出不太期望的帧，包括例如单色帧，或具有与主要焦点相同的对象的帧或一个主要焦点。 从关键帧过滤之后剩余的帧创建视觉索引，并存储以供检索。 视觉索引可以由用户检索，然后用户可以在显示器上显示视觉索引。 用户可以选择在视觉索引中显示的帧中的一个，并且源视频可以是手动的（由用户）或自动前进到源视频的帧。 另外，用户可以打印视觉索引。
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5.发明授权Apparatus and method for optimizing keyframe and blob retrieval and storage 失效用于优化关键帧和Blob检索和存储的设备和方法
公开(公告)号：US06119123A
公开(公告)日：2000-09-12
申请号：US982972
申请日：1997-12-02
CPC分类号： G06F17/30852 , G06F17/30858 , Y10S707/99943 , Y10S707/99945
摘要： A method and apparatus for forming a visual index of scenes in a video image which has been or is being recorded in a computer readable memory. A selected number of keyframes are derived from the recorded image, each being representative of a respective scene therein. The keyframes are then ordered into a selected number of levels of detail of the scenes represented thereby, each level including a predetermined number of keyframes, each subsequent level including keyframes of greater detail than those in a preceding level. A header file is then formed which is descriptive of the ordered set of keyframes, and the header file is stored together with the ordered set of keyframes in the computer readable memory. A user can thereby identify and obtain optimized retrieval in accordance with his preferences of particular segments of the video image from a relatively slow memory device. The method and apparatus are equally applicable to formation of an indexed order of binary large objects ("blobs") in a set of multimedia documents in accordance with a user's preferences.
摘要翻译： 一种用于形成已经或正在记录在计算机可读存储器中的视频图像中的场景的视觉索引的方法和装置。 从所记录的图像中导出所选数量的关键帧，每个都代表其中的相应场景。 然后将关键帧排列成由其表示的场景的所选数量的细节级别，每个级别包括预定数量的关键帧，每个后续级别包括比先前级别更详细的关键帧。 然后形成标题文件，其描述关键帧的有序集合，并且头文件与计算机可读存储器中的有序关键帧集合一起存储。 因此，用户可以根据来自相对较慢的存储器设备的视频图像的特定片段的偏好来识别和获得优化的检索。 该方法和装置同样适用于根据用户的喜好在一组多媒体文档中形成二进制大对象（“blob”）的索引顺序。
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6.发明授权
公开(公告)号：US6137544A
公开(公告)日：2000-10-24
申请号：US867140
申请日：1997-06-02
CPC分类号： G06K9/00711 , G06F17/30802 , G06F17/30814 , G06F17/30858 , H04N19/179 , H04N19/87 , H04N21/458 , H04N21/812
摘要： A video indexing system analyzes contents of source video and develops a visual table of contents using selected images. A system for detecting significant scenes detects video cuts from one scene to another, and static scenes based on DCT coefficients and macroblocks. A keyframe filtering process filters out less desired frames including, for example, unicolor frames, or those frames having a same object as a primary focus or one primary focuses. Commercials may also be detected and frames of commercials eliminated.
摘要翻译： 视频索引系统分析源视频的内容，并使用选定的图像开发视觉目录。 用于检测重要场景的系统检测从一个场景到另一个场景的视频剪辑，以及基于DCT系数和宏块的静态场景。 关键帧过滤过滤过滤出不太期望的帧，包括例如单色帧，或具有与主要焦点相同的对象的帧或一个主要焦点。 也可以检测商业广告，消除商业广告。
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7.发明授权Apparatus and method for locating a commercial disposed within a video data stream 失效用于定位设置在视频数据流内的商业的设备和方法
公开(公告)号：US6100941A
公开(公告)日：2000-08-08
申请号：US123444
申请日：1998-07-28
申请人： Nevenka Dimitrova , Thomas Mc Gee , Jan Hermanus Elenbaas , Eugene Leyvi , Carolyn Ramsey , David Berkowitz
发明人： Nevenka Dimitrova , Thomas Mc Gee , Jan Hermanus Elenbaas , Eugene Leyvi , Carolyn Ramsey , David Berkowitz
CPC分类号： H04N5/782 , G06F17/30814 , G06F17/30825 , G11B27/107 , G11B27/28 , H04H20/10 , H04H60/375 , H04H60/59 , H04N21/4325 , H04N21/4334 , H04N21/44008 , H04N21/812 , H04N5/147 , G11B2220/90 , Y10S358/908
摘要： A commercial detection apparatus includes a frame grab thread which acquires frames from an input data stream to be analyzed by a cut detector thread and a filter thread. A commercial detection thread determines whether a commercial has occurred from data created by the cut detector thread and the filter thread stored in a memory. A factor used by the commercial detection thread is whether a black frame has occurred. The input data stream is divided into a plurality of regions and then a maximum and minimum value for a section of these regions is determined and compared to one another. If the maximum and minimum values are close enough, and the maximum value is below a threshold, then the frame is deemed to be black. The commercial detection thread also looks at the average cut frame distance, cut rate, changes in the average cut frame distance, the absence of a logo, a commercial signature detection, brand name detection, a series of black frames preceding a high cut rate, similar frames located within a specified period of time before a frame being analyzed and character detection. During playback, the detected commercials are either skipped or substituted with alternate content.
摘要翻译： 商业检测装置包括从通过切断检测器线程和滤波器线程分析的输入数据流中获取帧的帧抓取线程。 商业检测线程确定是否从由切割检测器线程创建的数据和存储在存储器中的过滤器线程发生商业广告。 商业检测线程使用的因素是是否发生黑框。 输入数据流被分成多个区域，然后确定这些区域的一部分的最大值和最小值并将其彼此比较。 如果最大值和最小值足够近，并且最大值低于阈值，则该帧被认为是黑色的。 商业检测线程还查看平均切割帧距离，剪切速率，平均切割帧距离的变化，没有标志，商业签名检测，品牌名称检测，高切割率之前的一系列黑色帧， 位于分析帧之前的指定时间段内的类似帧和字符检测。 在播放期间，检测到的广告被跳过或替换为备用内容。
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8.发明申请公开(公告)号：US20130196877A1
公开(公告)日：2013-08-01
申请号：US13877346
申请日：2011-10-04
申请人： Nilanjana Banerjee , Angel Janevski , Sitharthan Kamalakaran , Vinay Varadan , Nevenka Dimitrova , Robert Lucito
发明人： Nilanjana Banerjee , Angel Janevski , Sitharthan Kamalakaran , Vinay Varadan , Nevenka Dimitrova , Robert Lucito
IPC分类号： G06F19/20
摘要： The present invention relates to a method for identifying multi-modal associations between biomedical markers which allows for the determination of network nodes and/or high ranking network members or combinations thereof, indicative of having a diagnostic, prognostic or predictive value for a medical condition, in particular ovarian cancer. The present invention further relates to a biomedical marker or group of biomedical markers associated with a high likelihood of responsiveness of a subject to a cancer therapy, preferably a platinum based cancer therapy, wherein said bio-medical marker or group of biomedical markers comprises at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 8, 19, 20 or all markers selected from PKMYT1, SKIL, RAB8A, HIRIP3, CTNNB1, NGFR, ZCCHC11, LSP1, CD200, PAX8, CYBRD1, HOXC11, TCEAL1, FZD10,FZD1, BBS4, IRS2, TLX3, TSPAN2, TXN, and CFLAR. Furthermore, an assay for detecting, diagnosing, graduating, monitoring or prognosticating a medical condition, or for detecting, 1 diagnosing, monitoring or prognosticating the responsiveness of a subject to a therapy against said medical condition, in particular ovarian cancer, is provided, as well as a corresponding method for classifying a subject comprising and a medical decision support system.
摘要翻译： 本发明涉及一种用于识别生物医学标记之间的多模式关联的方法，其允许确定网络节点和/或高排名网络成员或其组合，指示具有用于医疗状况的诊断，预后或预测值， 特别是卵巢癌。 本发明还涉及与受试者对癌症治疗（优选基于铂的癌症治疗）的高反应性的高可能性相关联的生物医学标记物或生物医学标记物组，其中所述生物医学标记物或生物医学标记物组至少包括 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,8,19,20或选自PKMYT1，SKIL，RAB8A， HIRIP3，CTNNB1，NGFR，ZCCHC11，LSP1，CD200，PAX8，CYBRD1，HOXC11，TCEAL1，FZD10，FZD1，BBS4，IRS2，TLX3，TSPAN2，TXN和CFLAR。 此外，提供了用于检测，诊断，毕业，监测或预测医学状况或用于检测1诊断，监测或预测受试者对于针对所述医学病症，特别是卵巢癌的治疗的反应性的测定法，作为 以及用于分类受试者的相应方法以及医疗决策支持系统。
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9.发明授权Method of controlling a release of a material carried by ultrasound sensitive particles 有权控制由超声敏感颗粒携带的材料的释放的方法公开(公告)号：US08357112B2
公开(公告)日：2013-01-22
申请号：US12530243
申请日：2008-03-03
IPC分类号： A61B17/20
CPC分类号： A61B8/481 , A61K9/0009 , A61K41/0028 , A61K47/6925 , A61M37/0092
摘要： This invention relates to a method and an apparatus of controlling a release of a material carried by ultrasound sensitive particles, the release being caused by irradiating the ultrasound sensitive particles with an ultrasonic pulse having acoustic properties selected so as to interact with the ultrasound sensitive particles and thus causing the release of the material. The ultrasound sensitive particles comprise sub-groups of ultrasound sensitive particles, the ultrasound sensitive particles within the same sub-group having their respective acoustic property causing each respective sub-group to interact independently with the sound wave.
摘要翻译： 本发明涉及一种控制由超声敏感颗粒携带的材料的释放的方法和装置，该释放是通过用选择的声学性质的超声脉冲照射超声波敏感颗粒而引起的，以便与超声敏感颗粒相互作用， 从而导致材料的释放。 超声敏感颗粒包括超声敏感颗粒的子组，相同子组内的超声敏感颗粒具有各自的声学特性，导致每个相应的子组与声波独立地相互作用。
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公开(公告)号：US08199991B2
公开(公告)日：2012-06-12
申请号：US12516931
申请日：2007-12-03
IPC分类号： G06K9/36
CPC分类号： G06K9/00134 , G06K9/3233 , G06K9/3275 , G06T7/70 , G06T2207/20056 , G06T2207/30072
摘要： A method of automatically identifying the microarray chip corners and probes, even if there are no probes at the corners, in a high density and high resolution microarray scanned image having an image space, wherein the method minimizes the error distortions in the image arising in the scanning process by applying to the image a multipass corner finding algorithm comprising: (a) applying a Radon transform to an input microarray image to project the image into an angle and distance space where it is possible to find the orientation of the straight lines; (b) applying a fast Fourier transform to the projected image of (a) to find the optimal tilting angle of the projected image; (c) determining the optimal first and last local maxima for the optimal tilting angle; (d) back projecting the determined first and last local maxima to the image space to find the first approximation of the first and last column lines of the image; (e) rotating the image and repeating steps (a) through (d) to find the first approximation of the top and bottom row lines of the image; (f) determining the first approximation of the four corners of the image from the intersection of the column and row lines; (g) applying a heuristic for determining if the first approximation of step (f) is sufficient; and (h) optionally trimming the scanned image around the first approximation of the four corners and repeating steps (a) through (f).
摘要翻译： 即使在具有图像空间的高密度和高分辨率的微阵列扫描图像中，即使在角落处没有探针也能够自动识别微阵列芯片角部和探针的方法，其中该方法使图像中产生的图像中的误差失真最小化 扫描过程，通过向图像应用多点角发现算法，包括：（a）将Radon变换应用于输入微阵列图像以将图像投影到可以找到直线的取向的角度和距离空间中; （b）对（a）的投影图像应用快速傅立叶变换以找到投影图像的最佳倾斜角; （c）确定最佳倾斜角的最佳第一和最后局部最大值; （d）将确定的第一和最后局部最大值向前投影到图像空间，以找到图像的第一列和最后一列的第一近似; （e）旋转图像并重复步骤（a）至（d）以找到图像的顶行和下行行的第一近似值; （f）从列和行之间的交点确定图像的四个角的第一近似值; （g）应用启发式来确定步骤（f）的第一近似是否足够; 和（h）可选地修整围绕四个角的第一近似的扫描图像并重复步骤（a）至（f）。
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