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96 条记录 (耗时 0.033 秒)

    Symbol Classification with shape features applied to neural network
    21.
    发明授权
    Symbol Classification with shape features applied to neural network 失效
    符号分类与形状特征应用于神经网络

    公开(公告)号：US06731788B1

    公开(公告)日：2004-05-04

    申请号：US09441949

    申请日：1999-11-17

    申请人： Lalitha Agnihotri ,  Nevenka Dimitrova

    发明人： Lalitha Agnihotri ,  Nevenka Dimitrova

    IPC分类号： G06K962

    CPC分类号： G11B27/28 ,  G06F17/30796 ,  G06K9/3266 ,  G06K2209/01 ,  G11B27/034 ,  G11B27/105

    摘要： An image processing device and method for classifying symbols, such as text, in a video stream employs a back propagation neural network (BPNN) whose feature space is derived from size, translation, and rotation invariant shape-dependent features. Various example feature spaces are discussed such as regular and invariant moments and an angle histogram derived from a Delaunay triangulation of a thinned, thresholded, symbol. Such feature spaces provide a good match to BPNN as a classifier because of the poor resolution of characters in video streams.

    摘要翻译： 用于在视频流中对诸如文本之类的符号进行分类的图像处理设备和方法使用其特征空间从尺寸，平移和旋转不变形状相关特征导出的反向传播神经网络（BPNN）。 讨论了各种示例特征空间，例如常规和不变矩，以及从稀疏，阈值符号的Delaunay三角测量得到的角度直方图。 由于视频流中的字符分辨率差，这样的特征空间提供了与BPNN作为分类器的良好匹配。

    Visual indexing system
    22.
    发明授权
    Visual indexing system 有权
    视觉索引系统

    公开(公告)号：US06185363B2

    公开(公告)日：2001-02-06

    申请号：US09436196

    申请日：1999-11-08

    申请人： Nevenka Dimitrova ,  Thomas McGee ,  Jan Hermanus Elenbaas

    发明人： Nevenka Dimitrova ,  Thomas McGee ,  Jan Hermanus Elenbaas

    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。

    Video retrieval of MPEG compressed sequences using DC and motion signatures
    23.
    发明授权
    Video retrieval of MPEG compressed sequences using DC and motion signatures 失效
    使用DC和运动签名的MPEG压缩序列的视频检索

    公开(公告)号：US5870754A

    公开(公告)日：1999-02-09

    申请号：US637844

    申请日：1996-04-25

    申请人： Nevenka Dimitrova ,  Mohamed S. Abdel-Mottaleb

    发明人： Nevenka Dimitrova ,  Mohamed S. Abdel-Mottaleb

    IPC分类号： H04N5/92 ,  G06F17/30 ,  H04N7/26

    CPC分类号： G06F17/30799 ,  G06F17/30825 ,  G06K9/00744 ,  G06K9/00758 ,  H04N21/84 ,  Y10S707/99931 ,  Y10S707/99933 ,  Y10S707/99945 ,  Y10S707/99948

    摘要： Signatures from MPEG or Motion JPEG encoded video clips are extracted based on the luminance, chrominance, and motion vector values. The signatures are stored in a database, along with corresponding location, size, and time length information. The signature of a query video clip, also encoded in the MPEG or Motion JPEG format, is extracted. The signature of the query video clip is compared with the signatures stored in the meta database, with video clips having signatures similar to the signature of the query video clip identified. The video clips are then retrieved and displayed by selection of a user.

    摘要翻译： 基于亮度，色度和运动矢量值，提取MPEG或Motion JPEG编码视频剪辑的签名。 签名存储在数据库中，以及相应的位置，大小和时间长度信息。 提取也以MPEG或Motion JPEG格式编码的查询视频剪辑的签名。 将查询视频剪辑的签名与存储在元数据库中的签名进行比较，其中视频剪辑具有与所识别的查询视频剪辑的签名类似的签名。 然后通过选择用户来检索和显示视频剪辑。

    Identification of multi-modal associations between biomedical markers
    24.
    发明授权
    Identification of multi-modal associations between biomedical markers 有权

    公开(公告)号：US10340027B2

    公开(公告)日：2019-07-02

    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： G01N33/48 ,  G16B25/00 ,  G16B5/00 ,  G06G7/58 ,  G16B20/00

    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 biomedical 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.

    Therapy delivery and monitoring using a gene of interest-reporter fusion protein and optical imaging
    26.
    发明授权
    Therapy delivery and monitoring using a gene of interest-reporter fusion protein and optical imaging 有权
    使用感兴趣的基因 - 报告融合蛋白和光学成像的治疗传播和监测

    公开(公告)号：US09528113B2

    公开(公告)日：2016-12-27

    申请号：US12993109

    申请日：2009-05-14

    申请人： Nevenka Dimitrova ,  Chetan Mittal

    发明人： Nevenka Dimitrova ,  Chetan Mittal

    IPC分类号： G01N33/00 ,  C12N15/62 ,  C07K14/435 ,  C07K14/71 ,  C12Q1/68

    CPC分类号： C12N15/62 ,  C07K14/43595 ,  C07K14/71 ,  C07K2319/60 ,  C12Q1/6897 ,  C12Q2537/164 ,  C12Q2525/207 ,  C12Q2525/143

    摘要： The present invention relates to a method of non-invasively monitoring the expression of a gene of interest in a cell when contacting said cell with a compound influencing the expression of said gene of interest. The present invention is also concerned with different isolated nucleic acid molecules comprising a coding sequence. Said coding sequence comprises a gene of interest-sequence encoding a gene of interest-polypeptide fused to a reporter sequence encoding a fluorescent reporter polypeptide and is operatively coupled to a promoter sequence. The present invention is also concerned with the use of a method and a nucleic acid molecule of the invention for delivering a compound influencing the expression of a gene of interest in a cell, monitoring the delivery of said compound as well as monitoring the influence on the expression of said gene of interest induced by said compound at the same time.

    摘要翻译： 本发明涉及当使所述细胞与影响目标基因表达的化合物接触时非侵入性地监测细胞中目的基因的表达的方法。 本发明还涉及包含编码序列的不同分离的核酸分子。 所述编码序列包含编​​码与编码荧光报道多肽的报告基因融合的感兴趣基因多肽的目标基因序列，并且可操作地偶联至启动子序列。 本发明还涉及本发明的方法和核酸分子用于递送影响细胞中目的基因表达的化合物，监测所述化合物的递送以及监测对所述化合物的影响 所述化合物同时诱导的所述感兴趣的基因的表达。

    Method and device for automatic generation of summary of a plurality of images
    28.
    发明授权
    Method and device for automatic generation of summary of a plurality of images 失效
    用于自动生成多个图像的概要的方法和装置

    公开(公告)号：US08204317B2

    公开(公告)日：2012-06-19

    申请号：US12281005

    申请日：2007-02-27

    申请人： Mauro Barbieri ,  Lalitha Agnihotri ,  Nevenka Dimitrova

    发明人： Mauro Barbieri ,  Lalitha Agnihotri ,  Nevenka Dimitrova

    IPC分类号： G06K9/62 ,  H04N9/80

    CPC分类号： G06F17/30843 ,  G06K9/00751

    摘要： Method and device for providing a summary of a plurality of images, e.g. a video sequence. The method includes dividing the video sequence into a plurality of segments. The segments are analyzed with respect to content and a set of content descriptors are associated to the segments. Preferably, additional textual information about the segments, screenplay etc., is used to determine the content descriptors. A graph representing relations between the segments is constructed indicating relations between segments. Weights are associated to the relations so as to represent a measure of relation, e.g. a logical correlation, between segments. The weights are based on the calculated content descriptors. A relevance measure for a segment is determined based on all weights associated with relations to said segment. Finally, a summary is generated by selecting the most relevant segments. The method can create an automatic summary of a film that preserves all the logical plot of the original but is shorter in duration (e.g. 70% of the original film) while the original playback rate is preserved.

    摘要翻译： 用于提供多个图像的概要的方法和装置，例如， 视频序列。 该方法包括将视频序列划分成多个段。 关于内容分析段，并且一组内容描述符与段相关联。 优选地，使用关于段，剧本等的附加文本信息来确定内容描述符。 构建表示段之间的关系的图形，指示段之间的关系。 权重与关系相关联，以便表示关系的度量，例如。 段之间的逻辑关联。 权重基于计算的内容描述符。 基于与与所述段的关系相关联的所有权重来确定段的相关性度量。 最后，通过选择最相关的段来生成摘要。 该方法可以创建电影的自动摘要，其保留原始的所有逻辑图，但是在保持原始回放速率的同时，持续时间更短（例如原始电影的70％）。