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    Method for comparing two trinary logic representations in the process of customizing radio broadcasting
    1.
    发明授权
    Method for comparing two trinary logic representations in the process of customizing radio broadcasting 失效
    在定制无线电广播过程中比较两个三维逻辑表示的方法

    公开(公告)号：US07058694B1

    公开(公告)日：2006-06-06

    申请号：US09656950

    申请日：2000-09-07

    申请人： Jeremy S. De Bonet ,  Paul A. Viola

    发明人： Jeremy S. De Bonet ,  Paul A. Viola

    IPC分类号： G06F15/16

    CPC分类号： H04L29/06027 ,  H04L65/4092 ,  H04L65/602 ,  H04L67/30 ,  H04L67/306 ,  H04L69/329 ,  Y10S707/99933

    摘要： A method for efficiently comparing two trinary logic representations, including the steps of creating a first data structure (a VALUE data structure) representative of a first set of properties; creating a second data structure (a KNOWN data structure) representative of whether the first set of properties is known; creating a third data structure (a TARGET data structure) representative of a target set of properties; creating a fourth data structure (a WANT data structure) representative of whether the target set of properties is wanted; and comparing the first, second, third, and fourth data structures using bit-wise binary operations to determine whether the first set of known properties are wanted as a target set of properties. In exemplary embodiments, the bit-wise binary operations are performed according to the Boolean equation: (not WANT) or (KNOWN and ((TARGET xor VALUE))). Alternatively, the bit-wise binary operation are performed according to the Boolean equation: (not WANT) or (KNOWN and ((TARGET and VALUE) or ((not TARGET) and (not (VALUE))). These data structures may be any size computer word, including 16 and 32-bit words.

    摘要翻译： 一种用于有效地比较两个二进制逻辑表示的方法，包括创建代表第一组属性的第一数据结构（VALUE数据结构）的步骤; 创建代表第一组属性是否已知的第二数据结构（KNOWN数据结构）; 创建代表目标特性集的第三数据结构（TARGET数据结构）; 创建代表目标属性集是否需要的第四数据结构（WANT数据结构）; 以及使用逐位二进制运算来比较第一，第二，第三和第四数据结构，以确定是否需要将第一组已知属性作为目标属性集合。 在示例性实施例中，根据布尔方程式执行逐位二进制运算：（不是WANT）或（KNOWN和（（TARGET XOR VALUE）））。 或者，根据布尔方程（不是WANT）或（KNOWN和（（TARGET和VALUE）或（（不是TARGET）和（不是（VALUE）））来执行逐位二进制运算。这些数据结构可以是 任何大小的计算机字，包括16位和32位字。

    Method and system for providing an audio element cache in a customized personal radio broadcast
    2.
    发明授权
    Method and system for providing an audio element cache in a customized personal radio broadcast 失效
    用于在定制的个人无线电广播中提供音频元素高速缓存的方法和系统

    公开(公告)号：US06985694B1

    公开(公告)日：2006-01-10

    申请号：US09656884

    申请日：2000-09-07

    申请人： Jeremy S. De Bonet ,  Paul A. Viola

    发明人： Jeremy S. De Bonet ,  Paul A. Viola

    IPC分类号： H04H1/00

    CPC分类号： H04H20/40 ,  H04H60/66

    摘要： An audio element cache is provided that is capable of caching audio elements for each user in a personal radio server system. In operation, customized radio content is provided to remote listeners in a personal radio server system by: storing a plurality of audio elements in a file server; retrieving a subset of the plurality of audio elements from the file server by predicting the content desired by a remote listener based on a user profile of the remote listener; storing the subset of the plurality of audio elements in an audio element cache; selecting audio elements to provide to a remote listener from the audio element cache; and transmitting the audio elements to the remote listener. In an embodiment, the plurality of audio elements are stored in the audio element cache when a remote listener logs-on the personal radio server system.

    摘要翻译： 提供音频元素高速缓存，其能够在个人无线电服务器系统中缓存每个用户的音频元素。 在操作中，通过以下方式将定制的无线电内容提供给个人无线电服务器系统中的远程收听者：将多个音频元素存储在文件服务器中; 基于所述远程侦听器的用户简档，通过预测远程侦听器所期望的内容来从所述文件服务器检索所述多个音频元素的子集; 将所述多个音频元素的子集存储在音频元素高速缓存中; 选择音频元素以从音频元素高速缓存提供给远程收听者; 并将音频元素发送到远程收听者。 在一个实施例中，当远程侦听器登录在个人无线电服务器系统上时，多个音频元素被存储在音频元素高速缓存中。

    System and method for overlapping audio elements in a customized personal radio broadcast
    4.
    发明授权
    System and method for overlapping audio elements in a customized personal radio broadcast 有权
    用于在定制的个人无线电广播中重叠音频元素的系统和方法

    公开(公告)号：US06609096B1

    公开(公告)日：2003-08-19

    申请号：US09657256

    申请日：2000-09-07

    申请人： Jeremy S. De Bonet ,  Paul A. Viola

    发明人： Jeremy S. De Bonet ,  Paul A. Viola

    IPC分类号： G10L2100

    CPC分类号： H04L65/4084 ,  H04H20/82 ,  H04H60/04 ,  H04H60/66 ,  H04L29/06 ,  H04L29/06027 ,  H04L65/602 ,  H04L67/02 ,  H04L67/26 ,  H04L67/306 ,  H04L69/329

    摘要： A method for overlapping stored audio elements in a system for providing a customized radio broadcast. The method includes the steps of dividing a first audio element into a plurality of audio element components; selecting one of said audio element components; decompressing the selected audio element component; selecting a second audio element; decompressing the second audio element; mixing the decompressed audio element component with the decompressed second audio element to form a mixed audio element component; and compressing the mixed audio element component to form a compressed overlapping audio element component. The compressed overlapping audio element component may replace the selected audio component. The first audio element may be a song, while the second audio element may be a DJ introduction. Accordingly, the compressed overlapping audio element may be broadcast followed by the remaining components of the song audio element.

    摘要翻译： 用于将存储的音频元素重叠在用于提供定制的无线电广播的系统中的方法。 该方法包括以下步骤：将第一音频元素划分成多个音频元素分量; 选择所述音频元素组件之一; 解压缩所选择的音频元素组件; 选择第二音频元素; 解压缩第二音频元素; 将解压缩的音频元素分量与解压缩的第二音频元素混合以形成混合音频元素分量; 以及压缩混合音频元素分量以形成压缩的重叠音频元素分量。 压缩的重叠音频元素组件可以替代所选择的音频分量。 第一音频元素可以是歌曲，而第二音频元素可以是DJ简介。 因此，压缩的重叠音频元素可以被广播，之后是歌曲音频元素的剩余组件。

    Recognition of mathematical expressions
    5.
    发明申请
    Recognition of mathematical expressions 有权
    数学表达式的识别

    公开(公告)号：US20080260251A1

    公开(公告)日：2008-10-23

    申请号：US11788190

    申请日：2007-04-19

    申请人： Goran Predovic ,  Ahmad Abdulkader ,  Bodin Dresevic ,  Paul A. Viola ,  Milan Vukosavljevic

    发明人： Goran Predovic ,  Ahmad Abdulkader ,  Bodin Dresevic ,  Paul A. Viola ,  Milan Vukosavljevic

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00422 ,  G06K9/726 ,  G06K2209/01

    摘要： In embodiments consistent with the subject matter of this disclosure, a user may input strokes as digital ink to a processing device. The processing device may partition the input strokes into multiple regions of strokes. A first recognizer and a second recognizer may score grammar objects included in regions and represented by chart entries. The scores may be converted to a converted score, which may have at least a near standard normal distribution. The processing device may present a recognition result based on highest converted scores according to a recurrence formula. The processing device may receive a correction hint with respect to misrecognized strokes and may add a penalty score with respect to chart entries representing grammar objects breaking the correction hint. Incremental recognition may be performed when a pause is detected during inputting of strokes.

    摘要翻译： 在与本公开的主题相一致的实施例中，用户可以将笔画作为数字墨水输入到处理设备。 处理装置可以将输入笔划划分成多个笔画区域。 第一识别器和第二识别器可以对包括在区域中的语法对象进行评分并由图表条目表示。 得分可以转换成转换得分，其可以具有至少近标准正态分布。 处理装置可以根据递归公式提供基于最高转换分数的识别结果。 处理设备可以接收关于错误识别的笔画的校正提示，并且可以相对于表示打破校正提示的语法对象的图表条目添加惩罚分数。 当在笔画输入期间检测到暂停时，可以执行增量识别。

    Parsing of ink annotations
    6.
    发明申请
    Parsing of ink annotations 审中-公开
    解析墨迹注释

    公开(公告)号：US20080195931A1

    公开(公告)日：2008-08-14

    申请号：US11589028

    申请日：2006-10-27

    申请人： Sashi Raghupathy ,  Paul A. Viola ,  Michael Shilman ,  Xin Wang

    发明人： Sashi Raghupathy ,  Paul A. Viola ,  Michael Shilman ,  Xin Wang

    IPC分类号： G06F17/00

    CPC分类号： G06K9/00402

    摘要： Annotation recognition and parsing is accomplished by first recognizing and grouping shapes such that relationships between the annotations and the underlying text and/or images can be determined. The recognition and grouping is followed by categorization of recognized annotations according to predefined types. The classification may be according to functionality, relation to content, and the like. In a third phase, the annotations are anchored to the underlying text or images they are found to be related to.

    摘要翻译： 注释识别和解析是通过首先识别和分组形状来实现的，使得可以确定注释和底层文本和/或图像之间的关系。 识别和分组之后是根据预定义类型对所识别的注释进行分类。 分类可以根据功能，与内容的关系等。 在第三阶段，注释被锚定到被发现与之相关的底层文本或图像。

    System and method for detecting objects in images
    7.
    发明授权
    System and method for detecting objects in images 有权
    用于检测图像中物体的系统和方法

    公开(公告)号：US07020337B2

    公开(公告)日：2006-03-28

    申请号：US10200464

    申请日：2002-07-22

    申请人： Paul A. Viola ,  Michael J. Jones

    发明人： Paul A. Viola ,  Michael J. Jones

    IPC分类号： G06K9/62 ,  G06K9/00

    CPC分类号： G06K9/00228

    摘要： A method detects an object, such a face, in an image. The image is first partitioned into patches of various sizes using either an integral image or a Gaussian pyramid. Features in each patch are evaluated to determine a cumulative score. The evaluating is repeated while the cumulative score is within a range of an acceptance threshold and a rejection threshold, and otherwise the image is rejected when the accumulated score is less than the rejection threshold and accepted as including the object when the cumulative score is greater than the acceptance threshold.

    摘要翻译： 方法检测图像中的物体（例如脸部）。 首先使用积分图像或高斯金字塔将图像分割成各种尺寸的斑块。 评估每个补丁中的特征以确定累积分数。 当累积分数在接受阈值和拒绝阈值的范围内时，重复评估，否则当累积分数小于拒绝阈值时拒绝图像，并且当累积分数大于接受阈值时被接受为包括对象 验收门槛。

    Grammatical parsing of document visual structures
    9.
    发明授权
    Grammatical parsing of document visual structures 有权
    文字视觉结构的语法解析

    公开(公告)号：US08249344B2

    公开(公告)日：2012-08-21

    申请号：US11173280

    申请日：2005-07-01

    申请人： Paul A. Viola ,  Michael Shilman

    发明人： Paul A. Viola ,  Michael Shilman

    IPC分类号： G06K9/34 ,  G06K9/72

    CPC分类号： G06K9/726 ,  G06F17/271 ,  G06K2209/01

    摘要： A two-dimensional representation of a document is leveraged to extract a hierarchical structure that facilitates recognition of the document. The visual structure is grammatically parsed utilizing two-dimensional adaptations of statistical parsing algorithms. This allows recognition of layout structures (e.g., columns, authors, titles, footnotes, etc.) and the like such that structural components of the document can be accurately interpreted. Additional techniques can also be employed to facilitate document layout recognition. For example, grammatical parsing techniques that utilize machine learning, parse scoring based on image representations, boosting techniques, and/or “fast features” and the like can be employed to facilitate in document recognition.

    摘要翻译： 利用文档的二维表示来提取便于识别文档的层次结构。 使用统计解析算法的二维适应来语法解析视觉结构。 这允许识别布局结构（例如，列，作者，标题，脚注等）等，使得可以准确地解释文档的结构组件。 还可以采用附加技术来促进文档布局识别。 例如，可以采用利用机器学习，基于图像表示的分析评分，增强技术和/或“快速特征”等的语法解析技术，以促进文档识别。