Bitplane coding for macroblock field/frame coding type information
    22.
    发明申请
    Bitplane coding for macroblock field/frame coding type information 有权
    用于宏块字段/帧编码类型信息的位平面编码

    公开(公告)号:US20050053296A1

    公开(公告)日:2005-03-10

    申请号:US10933959

    申请日:2004-09-02

    Abstract: In one aspect, for a first interlaced video frame in a video sequence, a decoder decodes a bitplane signaled at frame layer for the first interlaced video frame. The bitplane represents field/frame transform types for plural macroblocks of the first interlaced video frame. For a second interlaced video frame in the video sequence, for each of at least one but not all of plural macroblocks of the second interlaced video frame, the decoder processes a per macroblock field/frame transform type bit signaled at macroblock layer. An encoder performs corresponding encoding.

    Abstract translation: 在一个方面,对于视频序列中的第一隔行视频帧,解码器解码用于第一隔行视频帧的在帧层处发信号的位平面。 该位平面表示第一隔行视频帧的多个宏块的场/帧变换类型。 对于视频序列中的第二隔行视频帧,对于第二隔行视频帧的多个宏块中的至少一个但不是全部的宏块中的每一个,解码器处理在宏块层处发送信号的每宏块字段/帧变换类型位。 编码器执行相应的编码。

    Deriving document similarity indices
    25.
    发明授权
    Deriving document similarity indices 有权
    得出文献相似性指标

    公开(公告)号:US08478740B2

    公开(公告)日:2013-07-02

    申请号:US12970650

    申请日:2010-12-16

    Abstract: The present invention extends to methods, systems, and computer program products for deriving document similarity indices. Embodiments of the invention include scalable and efficient mechanisms for deriving and updating a document similarity index for a plurality of documents. The number of maintained similarities can be controlled to conserve CPU and storage resources.

    Abstract translation: 本发明扩展到用于导出文档相似性指标的方法,系统和计算机程序产品。 本发明的实施例包括用于导出和更新多个文档的文档相似性索引的可扩展和有效的机制。 可以控制维护的相似性数量以节省CPU和存储资源。

    IDENTIFYING KEY PHRASES WITHIN DOCUMENTS
    26.
    发明申请
    IDENTIFYING KEY PHRASES WITHIN DOCUMENTS 有权
    在文件中识别关键词

    公开(公告)号:US20120143860A1

    公开(公告)日:2012-06-07

    申请号:US12959840

    申请日:2010-12-03

    CPC classification number: G06F17/3053 G06F17/2715 G06F17/2745 G06F17/30864

    Abstract: The present invention extends to methods, systems, and computer program products for identifying key phrases within documents. Embodiments of the invention include using a tag index to determine what a document primarily relates to. For example, an integrated data flow and extract-transform-load pipeline, crawls, parses and word breaks large corpuses of documents in database tables. Documents can be broken into tuples. The tuples can be sent to a heuristically based algorithm that uses statistical language models and weight+cross-entropy threshold functions to summarize the document into its “top N” most statistically significant phrases. Accordingly, embodiments of the invention scale efficiently (e.g., linearly) and (potentially large numbers of) documents can be characterized by salient and relevant key phrases (tags).

    Abstract translation: 本发明扩展到用于识别文档内的关键短语的方法,系统和计算机程序产品。 本发明的实施例包括使用标签索引来确定文档主要涉及的内容。 例如,集成数据流和提取 - 转换 - 加载流水线,爬行,解析和单词,破坏数据库表中的大量文档。 文件可以分为元组。 元组可以被发送到基于启发式的算法,该算法使用统计语言模型和权重+交叉熵阈值函数来将文档归纳为其“最高N”最统计学意义的短语。 因此,本发明的实施例可以通过显着的和相关的关键短语(标签)来有效地(例如,线性地)和(潜在的大量的)文档的比例来表征。

    Advanced bi-directional predictive coding of interlaced video
    27.
    发明授权
    Advanced bi-directional predictive coding of interlaced video 有权
    隔行视频的高级双向预测编码

    公开(公告)号:US08064520B2

    公开(公告)日:2011-11-22

    申请号:US10882135

    申请日:2004-06-29

    Abstract: For interlaced B-fields or interlaced B-frames, forward motion vectors are predicted by an encoder/decoder using forward motion vectors from a forward motion vector buffer, and backward motion vectors are predicted using backward motion vectors from a backward motion vector buffer. The resulting motion vectors are added to the corresponding buffer. Holes in motion vector buffers can be filled in with estimated motion vector values. An encoder/decoder switches prediction modes between fields in a field-coded macroblock of an interlaced B-frame. For interlaced B-frames and interlaced B-fields, an encoder/decoder computes direct mode motion vectors. For interlaced B-fields or interlaced B-frames, an encoder/decoder uses 4 MV coding. An encoder/decoder uses “self-referencing” B-frames. An encoder sends binary information indicating whether a prediction mode is forward or not-forward for one or more macroblocks in an interlaced B-field. An encoder/decoder uses intra-coded B-fields [“BI-fields”].

    Abstract translation: 对于隔行B字段或隔行扫描的B帧,前向运动矢量由编码器/解码器使用来自前向运动矢量缓冲器的前向运动矢量来预测,并且使用来自后向运动矢量缓冲器的反向运动矢量来预测向后运动矢量。 所得到的运动矢量被添加到相应的缓冲器。 运动矢量缓冲区中的孔可以用估计的运动矢量值填充。 编码器/解码器切换交错B帧的场编码宏块中的场之间的预测模式。 对于隔行扫描的B帧和隔行扫描的B场,编码器/解码器计算直接模式运动矢量。 对于隔行B字段或隔行扫描的B帧,编码器/解码器使用4 MV编码。 编码器/解码器使用“自参考”B帧。 编码器发送二进制信息,指示对于隔行扫描的B字段中的一个或多个宏块,预测模式是向前还是非转发。 编码器/解码器使用帧内编码的B字段[“BI字段”]。

    SPEECH INTERFACES
    30.
    发明申请
    SPEECH INTERFACES 审中-公开
    语音接口

    公开(公告)号:US20100057452A1

    公开(公告)日:2010-03-04

    申请号:US12200250

    申请日:2008-08-28

    CPC classification number: G10L15/16 G10L15/02

    Abstract: The described implementations relate to speech interfaces and in some instances to speech pattern recognition techniques that enable speech interfaces. One system includes a feature pipeline configured to produce speech feature vectors from input speech. This system also includes a classifier pipeline configured to classify individual speech feature vectors utilizing multi-level classification.

    Abstract translation: 所描述的实现涉及语音接口,并且在一些情况下涉及能够进行语音接口的语音模式识别技术。 一个系统包括被配置为从输入语音产生语音特征向量的特征流水线。 该系统还包括分类器流水线,其被配置为使用多级分类对各个语音特征向量进行分类。

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