SYSTEM AND METHOD FOR DETERMINING ANALYTICS BASED ON MULTIMEDIA CONTENT ELEMENTS

    公开(公告)号:US20170262438A1

    公开(公告)日:2017-09-14

    申请号:US15608493

    申请日:2017-05-30

    Applicant: Cortica, Ltd.

    Abstract: A system and method for determining analytics based on multimedia content elements. The method includes causing generation of at least one signature for at least one input multimedia content element, wherein each signature represents a concept, wherein each concept is a collection of signatures and metadata representing the concept; comparing the generated at least one signature to a plurality of signatures of reference multimedia content elements to determine at least one matching reference multimedia content element, wherein each reference multimedia content element is associated with at least one predetermined analytic; and determining, based on the comparison, at least one analytic, wherein the determined at least one analytic includes the at least one predetermined analytic associated with each matching reference multimedia content element.

    SYSTEM AND METHOD FOR GENERATING PERSONALIZED CLUSTERS OF MULTIMEDIA CONTENT ELEMENTS

    公开(公告)号:US20170180443A1

    公开(公告)日:2017-06-22

    申请号:US15452148

    申请日:2017-03-07

    Applicant: Cortica, Ltd.

    Abstract: A system and method for generating personalized multimedia content element clusters. The method includes determining, based on at least one interest, at least one personalized concept, wherein each personalized concept represents one of the at least one user interest; obtaining at least one multimedia content element related to a user; generating at least one signature for the at least one multimedia content element, each generated signature representing at least a portion of the at least one multimedia content element; determining, based on the generated at least one signature, at least one multimedia content element cluster, wherein each cluster includes a plurality of multimedia content elements sharing a common concept of the at least one personalized concept; and creating at least one personalized multimedia content element cluster by adding, to each determined cluster, at least one of the at least one multimedia content element sharing the common concept of the cluster.

    SYSTEM AND METHOD FOR SHARING MULTIMEDIA CONTENT

    公开(公告)号:US20170142182A1

    公开(公告)日:2017-05-18

    申请号:US15419567

    申请日:2017-01-30

    Applicant: Cortica, Ltd.

    CPC classification number: H04W4/21 H04L67/306

    Abstract: A system and method for automated sharing multimedia content. The method includes: detecting at least one sharing trigger event, wherein the at least one sharing trigger event is related to at least one multimedia content element to be shared by a sharing device; determining, for each multimedia content element, correlations among a plurality of signatures generated for the multimedia content element, wherein each signature represents an abstract depiction of at least a portion of the multimedia content element; generating, based on the determined correlations, at least one contextual parameter, each contextual parameter indicating a context of one of the at least one multimedia content element; identifying, based on the generated at least one contextual parameter, at least one recipient device, wherein the identified at least one recipient device does not include the sharing device; and sharing the at least one multimedia content element with the at least one recipient device.

    SYSTEMS AND METHODS FOR GENERATION OF SEARCHABLE STRUCTURES RESPECTIVE OF MULTIMEDIA DATA CONTENT

    公开(公告)号:US20170139940A1

    公开(公告)日:2017-05-18

    申请号:US15416415

    申请日:2017-01-26

    Applicant: Cortica, Ltd.

    CPC classification number: G06F16/41

    Abstract: A system and method for generating concept structures based on a plurality of multimedia data elements (MMDEs). The method includes: generating, based on the plurality of MMDEs, a plurality of patches, wherein each patch is at least a portion of one of the MMDEs; generating, based on the plurality of patches, a plurality of signatures for the plurality of MMDEs; clustering the generated plurality of signatures into a plurality of clusters; generating metadata for each of the plurality of clusters; and creating, based on the plurality of clusters, at least one concept structure, wherein each concept structure includes at least one of the plurality of clusters and the metadata associated with the at least one of the plurality of clusters.

    Systems and method for speech to speech translation using cores of a natural liquid architecture system
    27.
    发明授权
    Systems and method for speech to speech translation using cores of a natural liquid architecture system 有权
    使用天然液体结构系统核心进行语音转换的系统和方法

    公开(公告)号:US09477658B2

    公开(公告)日:2016-10-25

    申请号:US14302495

    申请日:2014-06-12

    Applicant: Cortica, Ltd.

    CPC classification number: G06F17/289 G06F17/3002 G06F17/30746

    Abstract: A method and system for speech to speech translation using a plurality of computational cores of a natural liquid architecture are provided. The method includes receiving an audio signal; identifying a first concept related to the received audio signal; identifying a first language based on the first concept identified for the received audio signal; and determining a match between of the first concept and at least a second concept, wherein the at least second concept represents a target second language.

    Abstract translation: 提供了一种使用多个天然液体结构的计算核心进行语音转换的方法和系统。 该方法包括接收音频信号; 识别与所接收的音频信号相关的第一概念; 基于为所接收的音频信号识别的第一概念识别第一语言; 以及确定所述第一概念和至少第二概念之间的匹配,其中所述至少第二概念表示目标第二语言。

    APPARATUS AND METHOD FOR DETERMINING USER ATTENTION USING A DEEP-CONTENT-CLASSIFICATION (DCC) SYSTEM
    28.
    发明申请
    APPARATUS AND METHOD FOR DETERMINING USER ATTENTION USING A DEEP-CONTENT-CLASSIFICATION (DCC) SYSTEM 审中-公开
    使用深度分类(DCC)系统确定用户注意的装置和方法

    公开(公告)号:US20160267186A1

    公开(公告)日:2016-09-15

    申请号:US15162042

    申请日:2016-05-23

    Applicant: Cortica, Ltd.

    Abstract: A method and system for determining a user attention to a multimedia data element (MMDE) displayed in a web-page over a user computing device. The method includes generating, based on at least one sensory signal captured by at least one sensor communicatively connected to the computing device, at least one signature; querying, using the generated at least one signature, a deep-content-classification (DCC) system for at least one concept structure matching the received at least one sensory signal, wherein each of the at least one concept structure includes metadata associated with a plurality of signature reduced clusters representing MMDEs; identifying the metadata of the matching at least one concept structure; and analyzing the identified metadata to determine an attention of a user to the MMDE.

    Abstract translation: 一种用于确定用户对通过用户计算设备在网页中显示的多媒体数据元素(MMDE)的关注的方法和系统。 该方法包括基于至少一个通信地连接到计算设备的传感器捕获的至少一个感觉信号来生成至少一个签名; 使用所生成的至少一个签名,深度内容分类(DCC)系统来搜索匹配所接收的至少一个感觉信号的至少一个概念结构,其中所述至少一个概念结构中的每一个包括与多个 签名减少了代表MMDE的集群; 识别匹配的至少一个概念结构的元数据; 以及分析所识别的元数据以确定用户对MMDE的关注。

    System and method for symbol-space based compression of patterns
    29.
    发明授权
    System and method for symbol-space based compression of patterns 有权
    基于符号空间的模式压缩的系统和方法

    公开(公告)号:US09438270B2

    公开(公告)日:2016-09-06

    申请号:US14929976

    申请日:2015-11-02

    Applicant: Cortica, Ltd.

    CPC classification number: G06T9/00 H03M7/30 H03M7/3084 H03M7/46

    Abstract: A method and system for symbol-space based pattern compression is provided. The method includes identifying a plurality of combinations of symbols in an input sequence, each identified combination of symbols appearing in the input sequence above a predefined threshold, the input sequence having a first length; generating an output sequence having a second length by replacing each identified combination of symbols with a unique symbol, wherein each unique symbol is not a previously used symbol, wherein the second length is shorter than the first length; and storing the output sequence as a data layer.

    Abstract translation: 提供了一种基于符号空间的模式压缩的方法和系统。 该方法包括识别输入序列中的符号的多个组合,每个识别出的输入序列中的符号的组合高于预定阈值,该输入序列具有第一长度; 通过用唯一符号替换每个识别的符号组合来产生具有第二长度的输出序列,其中每个唯一符号不是先前使用的符号,其中第二长度短于第一长度; 并将输出序列存储为数据层。

    Apparatus and method for determining user attention using a deep-content-classification (DCC) system
    30.
    发明授权
    Apparatus and method for determining user attention using a deep-content-classification (DCC) system 有权
    使用深度内容分类(DCC)系统确定用户注意力的装置和方法

    公开(公告)号:US09372940B2

    公开(公告)日:2016-06-21

    申请号:US14013636

    申请日:2013-08-29

    Applicant: CORTICA, LTD.

    Abstract: A method for determining a user attention to at least one multimedia data element (MMDE) displayed in a web-page over a user computing device. The method comprises receiving a request to determine the user attention, wherein the request includes at least the web-page and an identification of the at least one MMDE in the web-page; receiving at least one sensory signal captured by at least one sensor connected to the user computing device; querying a deep-content-classification (DCC) system to find a match between at least one concept structure and the received sensory signal; receiving a first set of metadata related to the at least one matched concept structure; analyzing the returned set of metadata to determine the user attention with respect to the at least one MMDE; and associating the at least one MMDE with the determined user attention.

    Abstract translation: 一种用于确定用户对通过用户计算设备在网页中显示的至少一个多媒体数据元素(MMDE)的关注的方法。 该方法包括接收确定用户注意的请求,其中所述请求至少包括网页和网页中的至少一个MMDE的标识; 接收由连接到所述用户计算设备的至少一个传感器捕获的至少一个感觉信号; 查询深度内容分类(DCC)系统以找到至少一个概念结构与所接收的感觉信号之间的匹配; 接收与所述至少一个匹配概念结构相关的第一组元数据; 分析所返回的一组元数据以确定用户对至少一个MMDE的关注; 以及将所述至少一个MMDE与确定的用户注意相关联。

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