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    Adaptively encoding multiple streams of video data in parallel for multiplexing onto a constant bit rate channel
    2.
    发明授权
    Adaptively encoding multiple streams of video data in parallel for multiplexing onto a constant bit rate channel 失效
    并行地对多个视频数据流进行自适应编码，以复用到恒定的比特率信道上

    公开(公告)号：US06859496B1

    公开(公告)日：2005-02-22

    申请号：US09225193

    申请日：1999-01-05

    申请人： Lilla Boroczky ,  Agnes Y. Ngai ,  Edward F. Westermann

    发明人： Lilla Boroczky ,  Agnes Y. Ngai ,  Edward F. Westermann

    IPC分类号： G06T1/20 ,  H04J3/00 ,  H04N7/08 ,  H04N7/081 ,  H04N7/24 ,  H04N7/58 ,  H04N19/00 ,  H04N21/2365 ,  H04N21/434 ,  H04N21/6373 ,  H04N21/6377 ,  H04N21/658 ,  H04N7/12

    CPC分类号： H04N21/23655 ,  H04N19/114 ,  H04N19/124 ,  H04N19/142 ,  H04N19/15 ,  H04N19/152 ,  H04N19/177 ,  H04N19/179 ,  H04N19/436 ,  H04N19/503 ,  H04N19/61 ,  H04N19/87

    摘要： A control strategy is provided for dynamically encoding multiple streams of video data in parallel for multiplexing onto a constant bit rate channel. The control strategy allows individual encode bit rates to be dynamically adjusted for each video data stream based in part on relative complexity of the multiple streams of video data, as well as fullness of compressed video data buffers and a channel buffer coupled between the encoders and the constant bit rate channel. The control strategy includes analyzing the multiple streams of video to determine relative complexity thereof, encoding the multiple streams of video frames in parallel, and dynamically adapting encoding of at least one stream of the video frames based on the relative complexity of the video frames. The bit rate for each stream of video frames is only changed at GOP boundaries, or if a scene change occurs. The calculated bit rate is preferably further modified based upon buffer fullness.

    摘要翻译： 提供了用于并行地对多个视频数据流动态编码以进行多路复用到恒定比特率信道上的控制策略。 控制策略允许针对每个视频数据流动态地调整各个编码比特率，部分地基于多个视频数据流的相对复杂度，以及压缩视频数据缓冲器的饱和度以及耦合在编码器和编码器之间的信道缓冲器 恒定比特率信道。 控制策略包括分析视频的多个流以确定其相对复杂度，并行编码视频帧的多个流，以及基于视频帧的相对复杂度动态地适应视频帧的至少一个流的编码。 视频帧的每个流的比特率仅在GOP边界改变，或者如果发生场景变化。 优选地，基于缓冲器充满度来进一步修改计算的比特率。

    Adaptive real-time encoding of video sequence employing image statistics
    3.
    发明授权
    Adaptive real-time encoding of video sequence employing image statistics 失效
    使用图像统计的视频序列的自适应实时编码

    公开(公告)号：US6040861A

    公开(公告)日：2000-03-21

    申请号：US948442

    申请日：1997-10-10

    申请人： Lilla Boroczky ,  Charlene Ann Gebler ,  John M. Kaczmarczyk ,  Edward F. Westermann ,  Robert L. Woodard

    发明人： Lilla Boroczky ,  Charlene Ann Gebler ,  John M. Kaczmarczyk ,  Edward F. Westermann ,  Robert L. Woodard

    IPC分类号： G06T9/00 ,  H04N7/26 ,  H04N7/50 ,  H04N7/18

    CPC分类号： H04N19/87 ,  H04N19/124 ,  H04N19/137 ,  H04N19/14 ,  H04N19/142 ,  H04N19/149 ,  H04N19/154 ,  H04N19/176 ,  H04N19/179 ,  H04N19/85

    摘要： Method, system and computer program product are provided for adaptively encoding in hardware, software or a combination thereof a sequence of video frames in real-time. A first encoding subsystem is employed to analyze the sequence of video frames to derive information on at least one characteristic thereof, such as motion statistics, non-motion statistics, scene change statistics, or scene fade statistics. The gathered information may comprise either an intraframe characteristic or an interframe characteristic. A second encoding subsystem, coupled to the first encoding subsystem, encodes the sequence of video frames employing at least one controllable parameter. The second encoding subsystem dynamically adapts intraframe or interframe encoding of the sequence of video frames by adjusting the at least one controllable parameter used in the encoding process in response to the derived information from the first encoding subsystem.

    摘要翻译： 提供方法，系统和计算机程序产品，用于在硬件，软件或其组合中自动编码一系列视频帧。 使用第一编码子系统来分析视频帧的序列以得到关于其至少一个特征的信息，例如运动统计，非运动统计，场景变化统计或场景渐变统计。 收集的信息可以包括帧内特性或帧间特性。 耦合到第一编码子系统的第二编码子系统使用至少一个可控参数对视频帧序列进行编码。 第二编码子系统通过响应于来自第一编码子系统的导出信息调整编码过程中使用的至少一个可控参数来动态地适应视频帧序列的帧内或帧间编码。

    PET/CT BASED MONITORING SYSTEM SUPPORTED BY A CLINICAL GUIDELINE NAVIGATOR
    5.
    发明申请
    PET/CT BASED MONITORING SYSTEM SUPPORTED BY A CLINICAL GUIDELINE NAVIGATOR 审中-公开
    基于PET / CT的监测系统由临床导向导管支持

    公开(公告)号：US20120123801A1

    公开(公告)日：2012-05-17

    申请号：US13260533

    申请日：2010-02-11

    申请人： Roland Opfer ,  Lilla Boroczky ,  Ingwer Curt Carlsen ,  Pradyumna Dutta ,  Steffen Renisch ,  Joerg Sabczynski ,  Paola Karina Tulipano

    发明人： Roland Opfer ,  Lilla Boroczky ,  Ingwer Curt Carlsen ,  Pradyumna Dutta ,  Steffen Renisch ,  Joerg Sabczynski ,  Paola Karina Tulipano

    IPC分类号： G06Q50/24

    CPC分类号： G16H10/60 ,  A61B6/037 ,  A61B6/508 ,  G06F19/00 ,  G06F19/321 ,  G06Q50/24

    摘要： An oncology monitoring system comprises: an image analysis module (42, 44) configured to perform an oncological monitoring operation based on images of a subject, for example acquired by positron emission tomography (PET) and computed tomography (CT); and a clinical guideline support module (10). The clinical guideline support module is configured to: display a graphical flow diagram (GFD) of a clinical therapy protocol for treating the subject comprising graphical blocks (B0, B1 B2, B3, B4, B5, B21, B211, B22, B221, B222, B223, B23, B231, B232) representing therapeutic or monitoring operations of the clinical therapy protocol including at least one monitoring operation performed by the image analysis module; annotate a graphical block of the graphical flow diagram with subject-specific information pertaining to a therapeutic or monitoring operation represented by the graphical block; and display an annotation (POP) of a graphical block (B211) responsive to selection of the graphical block by a user.

    摘要翻译： 肿瘤监测系统包括：图像分析模块（42,44），其被配置为基于例如通过正电子发射断层摄影（PET）和计算机断层摄影（CT）获取的对象的图像执行肿瘤监测操作; 和临床指南支持模块（10）。 临床指南支持模块被配置为：显示用于治疗受试者的临床治疗方案的图形流程图（GFD），包括图形块（B0，B1B2，B3，B4，B5，B21，B211，B22，B221，B222 ，B223，B23，B231，B232），其代表包括图像分析模块执行的至少一个监视操作的临床治疗方案的治疗或监视操作; 注释图形流程图的图形块，其具有与由图形块表示的治疗或监视操作有关的主题特定信息; 以及响应于用户对所述图形块的选择来显示图形块（B211）的注释（POP）。

    METHOD AND SYSTEM FOR PERSONALIZED GUIDELINE-BASED THERAPY AUGMENTED BY IMAGING INFORMATION
    6.
    发明申请
    METHOD AND SYSTEM FOR PERSONALIZED GUIDELINE-BASED THERAPY AUGMENTED BY IMAGING INFORMATION 审中-公开
    基于图像信息的个性化导向治疗方法与系统

    公开(公告)号：US20110046979A1

    公开(公告)日：2011-02-24

    申请号：US12989805

    申请日：2009-05-04

    申请人： Paola Karina Tulipano ,  Lilla Boroczky ,  Michael C. Lee ,  Victor Paulus Marcellus Vloemans ,  Ingwer Curt Carlsen ,  Roland Opfer ,  Charles Lagor

    发明人： Paola Karina Tulipano ,  Lilla Boroczky ,  Michael C. Lee ,  Victor Paulus Marcellus Vloemans ,  Ingwer Curt Carlsen ,  Roland Opfer ,  Charles Lagor

    IPC分类号： G06Q50/00 ,  G06F17/30

    CPC分类号： G06Q50/22 ,  G06F19/325 ,  G16H50/20 ,  G16H50/70

    摘要： When treating a patient, clinical decision support system (CDSS) guidelines are employed to assist a physician in generating a treatment plan. These plans are generated using both imaging and non-imaging data. To accomplish this, the CDSS is interfaced with imaging systems (CADx, CAD, PACS etc.). A data-mining operation is performed to identify relevant patients with similar attributes such as diagnosis, medical history, treatment, etc from imaging and non-imaging data. Natural language processing is employed to extract and encode relevant non-imaging (textual) data from relevant patients' records. Additionally, an image of a current patient is compared to reference images in a patient database to identify relevant patients. Relevant patients are then identified to a user, and the user selects a relevant patient to view detailed information related to medical history, treatment, guidelines, efficacy, and the like.

    摘要翻译： 在治疗患者时，采用临床决策支持系统（CDSS）指南来协助医生生成治疗计划。 这些计划是使用成像和非成像数据生成的。 为了实现这一点，CDSS与成像系统（CADx，CAD，PACS等）接口。 进行数据挖掘操​​作，以从成像和非成像数据中识别具有类似属性的相关患者，如诊断，病史，治疗等。 采用自然语言处理技术从相关患者记录中提取和编码相关非成像（文本）数据。 此外，将当前患者的图像与患者数据库中的参考图像进行比较以识别相关患者。 然后将相关患者识别给用户，并且用户选择相关患者以查看与病史，治疗，指南，疗效等相关的详细信息。

    False positive reduction in computer-assisted detection (CAD) with new 3D features
    7.
    发明授权
    False positive reduction in computer-assisted detection (CAD) with new 3D features 有权
    具有新3D特征的计算机辅助检测（CAD）的虚假积极减少

    公开(公告)号：US07840062B2

    公开(公告)日：2010-11-23

    申请号：US11719634

    申请日：2005-11-21

    申请人： Lilla Boroczky ,  Kwok Pun Lee ,  Luyin Zhao

    发明人： Lilla Boroczky ,  Kwok Pun Lee ,  Luyin Zhao

    IPC分类号： G06K9/00 ,  G01N23/04

    CPC分类号： G06T7/0012 ,  G06K9/3233 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/30061

    摘要： A method for computer aided detection (CAD) and classification of regions of interest detected within HRCT medical image data includes post-CAD machine learning techniques applied to maximize specificity and sensitivity of identification of a region/volume as being a nodule or non-nodule. The regions are identified by a CAD process, and automatically segmented. A feature pool is identified and extracted from each segmented region, and processed by genetic algorithm to identify an optimal feature subset, which subset is used to train the support vector machine to classify candidate region/volumes found within non-training data.

    摘要翻译： 在HRCT医学图像数据中检测到的计算机辅助检测（CAD）和感兴趣区域的分类方法包括后CAD机器学习技术，其应用于将区域/体积的识别的特异性和敏感性最大化为结节或非结节。 区域由CAD过程识别，并自动分段。 从每个分段区域识别和提取特征池，并通过遗传算法进行处理以识别最优特征子集，该子集用于训练支持向量机以对在非训练数据内发现的候选区域/体积进行分类。

    Video Quality Enhancement and/or Artifact Reduction Using Coding Information From a Compressed Bitstream
    8.
    发明申请
    Video Quality Enhancement and/or Artifact Reduction Using Coding Information From a Compressed Bitstream 审中-公开
    使用来自压缩比特流的编码信息的视频质量增强和/或减少伪像

    公开(公告)号：US20070230918A1

    公开(公告)日：2007-10-04

    申请号：US10599199

    申请日：2005-03-29

    申请人： Sandeep Dalal ,  Yibin Yang ,  Lilla Boroczky ,  Cornelis Conradus Adrianus Van Zon

    发明人： Sandeep Dalal ,  Yibin Yang ,  Lilla Boroczky ,  Cornelis Conradus Adrianus Van Zon

    IPC分类号： H04N7/01 ,  H04N7/12 ,  H04N7/26

    CPC分类号： H04N7/0112 ,  H04N19/61 ,  H04N19/86

    摘要： A system and method of processing a digital video signal for display on a display device, includes decoding an encoded digital video signal to produce a decoded digital video signal having a video source format; extracting coding information from the encoded digital video signal; executing a video quality improvement algorithm on the decoded digital video signal having the video source format using the extracted coding information, to produce a processed decoded digital video signal having the video source format; and converting the processed decoded digital video signal from the video source format to a video display format suitable for display on the display device. The system and method enhance the quality and/or reduce video artifacts in a video signal after it is decoded and prior to display on a display device.

    摘要翻译： 一种处理数字视频信号以在显示装置上显示的系统和方法，包括对编码的数字视频信号进行解码以产生具有视频源格式的解码数字视频信号; 从编码的数字视频信号中提取编码信息; 对使用所提取的编码信息的视频源格式的解码数字视频信号执行视频质量改进算法，以产生具有视频源格式的经处理的解码数字视频信号; 并且将经处理的解码数字视频信号从视频源格式转换成适于在显示设备上显示的视频显示格式。 该系统和方法在视频信号被解码之后并且在显示设备上显示之前增强视频信号的质量和/或降低视频伪影。

    Methods for feature selection using classifier ensemble based genetic algorithms
    10.
    发明授权
    Methods for feature selection using classifier ensemble based genetic algorithms 有权
    使用基于分类器集合的遗传算法进行特征选择的方法

    公开(公告)号：US08762303B2

    公开(公告)日：2014-06-24

    申请号：US12441956

    申请日：2007-09-17

    申请人： Luyin Zhao ,  Lilla Boroczky ,  Lalitha A. Agnihotri ,  Michael C. Lee

    发明人： Luyin Zhao ,  Lilla Boroczky ,  Lalitha A. Agnihotri ,  Michael C. Lee

    IPC分类号： G06N3/12

    CPC分类号： G06N3/126 ,  G06F19/00 ,  G06K9/6217 ,  G06K2209/053 ,  G16H50/20 ,  G16H50/30

    摘要： Methods for performing genetic algorithm-based feature selection are provided herein. In certain embodiments, the methods include steps of applying multiple data splitting patterns to a learning data set to build multiple classifiers to obtain at least one classification result; integrating the at least one classification result from the multiple classifiers to obtain an integrated accuracy result; and outputting the integrated accuracy result to a genetic algorithm as a fitness value for a candidate feature subset, in which genetic algorithm-based feature selection is performed.

    摘要翻译： 本文提供了基于遗传算法的特征选择的方法。 在某些实施例中，所述方法包括将多个数据分割模式应用于学习数据集以构建多个分类器以获得至少一个分类结果的步骤; 整合来自多个分类器的至少一个分类结果以获得综合精度结果; 并将所述综合精度结果输出到遗传算法作为候选特征子集的适应度值，其中执行基于遗传算法的特征选择。