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    • 111. 发明申请
    • INTER-LAYER MOTION PREDICTION METHOD
    • 层间运动预测方法
    • WO2007077116A1
    • 2007-07-12
    • PCT/EP2006/069852
    • 2006-12-18
    • THOMSON LICENSINGFRANCOIS, EdouardBOTTREAU, VincentLOPEZ, PatrickVIERON, JéromeCHEN, Ying
    • FRANCOIS, EdouardBOTTREAU, VincentLOPEZ, PatrickVIERON, JéromeCHEN, Ying
    • H04N7/26
    • H04N19/57H04N19/16H04N19/187H04N19/31H04N19/33H04N19/52
    • The invention relates to a method for generating for at least one macroblock of a high resolution image at least one motion predictor from motion data associated to macroblock(s) of a low resolution image. The method comprises the following steps: - defining a virtual structure made up of non overlapping macroblocks, called virtual base layer macroblocks; - identifying for the high resolution macroblock corresponding virtual base layer macroblocks in the virtual image on the basis of the location of the high resolution macroblock within the high resolution image and on the basis of the ratios of low resolution and high resolution images dimensions; - deriving, for each identified virtual base layer macroblocks, motion data from motion data associated to at least one macroblock of a corresponding low resolution macroblocks pair on the basis of the field/frame mode of the corresponding low resolution macroblocks pair and on the basis of the field/frame mode of the high resolution macroblock; - resampling motion data associated to the corresponding virtual base layer macroblocks so as to generate the at least one motion predictor.
    • 本发明涉及一种用于从与低分辨率图像的宏块相关联的运动数据生成高分辨率图像至少一个运动预测器的方法。 该方法包括以下步骤: - 定义由非重叠宏块组成的虚拟结构,称为虚拟基本层宏块; - 基于高分辨率图像内的高分辨率宏块的位置并基于低分辨率和高分辨率图像尺寸的比率来识别虚拟图像中的高分辨率宏块对应的虚拟基本层宏块; - 基于相应的低分辨率宏块对的场/帧模式,并且基于相应的低分辨率宏块对的场/帧模式,针对每个所识别的虚拟基本层宏块,从与相应的低分辨率宏块对的至少一个宏块相关联的运动数据导出运动数据 高分辨率宏块的场/帧模式; - 对与相应的虚拟基本层宏块相关联的运动数据进行重新采样,以便生成所述至少一个运动预测器。
    • 116. 发明申请
    • SYSTEMS AND METHODS FOR ANALYZING ELECTRONIC TEXT
    • 用于分析电子文本的系统和方法
    • WO2010066616A1
    • 2010-06-17
    • PCT/EP2009/066222
    • 2009-12-02
    • INTERNATIONAL BUSINESS MACHINES CORPORATIONIBM UNITED KINGDOM LIMITEDSPANGLER, William ScottCHEN, YingPROCTOR, Larry
    • SPANGLER, William ScottCHEN, YingPROCTOR, Larry
    • G06F17/30
    • G06F17/30864G06F17/30705
    • Systems and methods for systematically analyzing an electronic text are described. In one embodiment, the method includes receiving the electronic text from a plurality of sources. The method also includes determining an at least one term of interest to be identified in the electronic text. The method further includes identifying a plurality of locations within the electronic text including the at least one term of interest. The method also includes for each location within a plurality of locations, creating a snippet from a text segment around the at least one term of interest at the location within the electronic text. The method further includes creating multiple taxonomies for the at least one term of interest from the snippets, wherein the taxonomies include an at least one category. The method also includes determining co-occurrences between the multiple taxonomies to determine associations between categories of a different taxonomies of the multiple taxonomies.
    • 描述用于系统地分析电子文本的系统和方法。 在一个实施例中,该方法包括从多个源接收电子文本。 该方法还包括确定要在电子文本中识别的至少一个感兴趣的术语。 该方法还包括识别电子文本内的多个位置,包括至少一个感兴趣的术语。 所述方法还包括针对多个位置内的每个位置,从电子文本内的位置处的所述至少一个感兴趣的术语周围的文本段创建代码片段。 该方法还包括从片段为至少一个感兴趣的术语创建多个分类法,其中分类法包括至少一个类别。 该方法还包括确定多重分类法之间的共同出现以确定多个分类法的不同分类法的类别之间的关联。