DATA BEARING MEDIUM
    11.
    发明申请
    DATA BEARING MEDIUM 有权
    数据承载介质

    公开(公告)号:US20160217357A1

    公开(公告)日:2016-07-28

    申请号:US14916708

    申请日:2013-09-06

    Abstract: An example method for forming a data-bearing medium in accordance with aspects of the present disclosure includes setting variables associated with the data-bearing medium, the variables comprising a bit length of a payload, a row-to-row offset and an interleave period, identifying a standard form of the payload, the standard form being a circularly shifted version of the payload, generating a phase code based on the variables, and arranging rows of the data-bearing medium with the standard form of the payload and the phase code based on the interleave period.

    Abstract translation: 根据本公开的方面的用于形成数据承载介质的示例性方法包括设置与数据承载介质相关联的变量,变量包括有效载荷的位长度,行到行偏移和交错周期 ,识别有效载荷的标准形式,标准形式是有效载荷的循环版本,基于变量产生相位代码,并且以有效载荷的标准形式和相位代码排列数据承载介质的行 基于交错周期。

    Display device
    13.
    发明授权

    公开(公告)号:US10565942B2

    公开(公告)日:2020-02-18

    申请号:US15500010

    申请日:2014-07-29

    Abstract: One example provides a display device. The display device includes an electronic paper display imageable by receiving charges on an imaging surface of the electronic paper display. The display device includes a first ground electrode opposite to a first portion of the imaging surface of the electronic paper display and a second ground electrode opposite to a second portion of the imaging surface of the electronic paper display. Writing to the second portion of the electronic paper display is selectively disableable.

    Video Content Summarization and Class Selection

    公开(公告)号:US20190057258A1

    公开(公告)日:2019-02-21

    申请号:US15764280

    申请日:2015-10-30

    Abstract: A system includes a plurality of summarization engines, each summarization engine to receive video content, via a processing system, and to provide a summary of the video content, thereby providing a plurality of summaries of the video content. The system includes a plurality of meta-algorithmic patterns, each meta-algorithmic pattern to be applied to at least two of the summaries to provide, via the processing system, a meta-summary of the video content using the at least two summaries, thereby providing a plurality of meta-summaries of the video content. The system includes an evaluator to evaluate the plurality of summaries and the plurality of meta-summaries and to determine similarity measures of the video content over each given class of a plurality of classes of video content, and to select a class of the plurality of classes based on the determined similarity measures.

    Multiple payload pantographs
    18.
    发明授权

    公开(公告)号:US10154165B2

    公开(公告)日:2018-12-11

    申请号:US15512038

    申请日:2014-09-19

    Abstract: Example implementations relate to multiple payload pantograph. Some examples may include a first pattern generation engine to generate a first pattern. The first pattern may be a data-bearing pattern encoding a first payload. Additionally, some examples may include a second pattern generation engine to generate a second pattern, the second pattern (by itself or in combination with the first pattern) may represent a second payload. The second payload may be camouflaged by a combination of the first pattern and the second pattern. Some examples may also include a pantograph generation engine to generate a multiple payload pantograph including the first pattern and the second pattern. The multiple payload pantograph may include the first pattern in one of the pantograph background or the pantograph foreground.

    Combinatorial summarizer
    20.
    发明授权

    公开(公告)号:US09977829B2

    公开(公告)日:2018-05-22

    申请号:US14414479

    申请日:2012-10-12

    Abstract: A combinatorial summarizer includes a plurality of summarization engines, a processor in selective communication with each summarization engine, and computer readable instructions executable by the processor and embodied on a tangible, non-transitory computer readable medium. Each summarization engine is to select a respective plurality of sentences, and generate a relative rank and an associated weight for each sentence of the respective plurality of sentences. The computer readable instructions include instructions to determine a combined weight for each sentence of each respective plurality of sentences. The combined weight is based upon the respective associated weight and a respective relative human rank for each sentence in a set of sentences, including all sentences of each respective plurality of sentences. The computer readable instructions further include instructions to determine a total weight for each summarization engine based, respectively, upon the combined weights for each sentence of each respective plurality of sentences.

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