APPARATUS AND METHOD FOR DETERMINING USER ATTENTION USING A DEEP-CONTENT-CLASSIFICATION (DCC) SYSTEM
    11.
    发明申请
    APPARATUS AND METHOD FOR DETERMINING USER ATTENTION USING A DEEP-CONTENT-CLASSIFICATION (DCC) SYSTEM 有权
    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:US20140006442A1

    公开(公告)日:2014-01-02

    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。

    METHOD FOR UNSUPERVISED CLUSTERING OF MULTIMEDIA DATA USING A LARGE-SCALE MATCHING SYSTEM
    12.
    发明申请
    METHOD FOR UNSUPERVISED CLUSTERING OF MULTIMEDIA DATA USING A LARGE-SCALE MATCHING SYSTEM 有权
    使用大规模匹配系统对多媒体数据进行不间断聚类的方法

    公开(公告)号:US20130144884A1

    公开(公告)日:2013-06-06

    申请号:US13731906

    申请日:2012-12-31

    Applicant: Cortica, Ltd.

    Abstract: A method and apparatus for unsupervised clustering of a large-scale collection of multimedia data elements. The method comprises generating a first cluster from the large-scale collection by: matching each of the multimedia data elements to all other multimedia data elements in the large-scale collection, determining a clustering score for each match being performed, clustering multimedia data elements having a clustering score above a threshold to create the first cluster; and storing the first cluster in a storage unit.

    Abstract translation: 一种用于大规模收集多媒体数据元素的无监督聚类的方法和装置。 该方法包括:通过以下步骤来从大规模集合生成第一集群:将每个多媒体数据元素与大规模集合中的所有其他多媒体数据元素相匹配,确定正在执行的每个匹配的聚类分数,聚类多媒体数据元素具有 聚集分数高于阈值以创建第一簇; 以及将所述第一集群存储在存储单元中。

    System and method for context translation of natural language
    13.
    发明授权
    System and method for context translation of natural language 有权
    自然语言翻译系统与方法

    公开(公告)号:US09087049B2

    公开(公告)日:2015-07-21

    申请号:US13773118

    申请日:2013-02-21

    Applicant: Cortica, Ltd.

    Abstract: A method for translating natural language text. The method comprises receiving at least one multimedia element including a first natural language text; generating metadata representing the first natural language text; generating at least one signature for the at least one multimedia element; determining the context of the at least one multimedia element respective of the signature; and searching for a multimedia content element (MMCE) corresponding to the received at least one multimedia element that includes a second natural language text, wherein the search is performed using the at least one signature, the context and metadata generated for the at least input text in a first natural language respective of the context, wherein the second natural language text is a translated text of the first natural language text.

    Abstract translation: 一种翻译自然语言文本的方法。 该方法包括接收包括第一自然语言文本的至少一个多媒体元素; 生成表示第一自然语言文本的元数据; 为所述至少一个多媒体元素生成至少一个签名; 确定相应签名的至少一个多媒体元素的上下文; 以及搜索对应于所接收的包括第二自然语言文本的至少一个多媒体元素的多媒体内容元素(MMCE),其中使用所述至少一个签名,所述上下文和为所述至少输入文本生成的元数据来执行所述搜索 以第一自然语言为背景,其中第二自然语言文本是第一自然语言文本的翻译文本。

    Multi-layer system for symbol-space based compression of patterns
    14.
    发明授权
    Multi-layer system for symbol-space based compression of patterns 有权
    用于基于符号空间的压缩模式的多层系统

    公开(公告)号:US08922414B2

    公开(公告)日:2014-12-30

    申请号:US13874159

    申请日:2013-04-30

    Applicant: Cortica, Ltd.

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

    Abstract: A method and apparatus for symbol-space based compression of patterns are provided. The method comprises receiving an input sequence, the input sequence being of a first length and comprising a plurality of symbols; extracting all common patterns within the input sequence, wherein a common pattern includes at least two symbols; generating an output sequence responsive of the extraction of all common patterns, wherein the output sequence has a second length that is shorter than the first length; and storing in a memory the output sequence as a data layer, wherein the output sequence is provided as a new input sequence for a subsequent generation of a data layer.

    Abstract translation: 提供了一种用于基于符号空间的图案压缩的方法和装置。 所述方法包括接收输入序列,所述输入序列具有第一长度并且包括多个符号; 提取输入序列内的所有公共模式,其中公共模式包括至少两个符号; 响应于所有公共模式的提取产生输出序列,其中所述输出序列具有比所述第一长度短的第二长度; 以及将输出序列存储在存储器中作为数据层,其中输出序列被提供为用于随后生成数据层的新的输入序列。

    Assembler and method thereof for generating a complex signature of an input multimedia data element
    15.
    发明授权
    Assembler and method thereof for generating a complex signature of an input multimedia data element 有权
    汇编器及其方法,用于产生输入多媒体数据元素的复合签名

    公开(公告)号:US08880566B2

    公开(公告)日:2014-11-04

    申请号:US13668559

    申请日:2012-11-05

    Applicant: Cortica, Ltd.

    Abstract: An assembler for generating a complex signature of an input multimedia data element comprises a first interface for receiving a plurality of signatures respective of a plurality of minimum size multimedia data elements, wherein each of the plurality of the minimum size multimedia data elements is a minimal partition of the input multimedia data element; an assembly unit for combining the plurality of signatures respective of the plurality of minimum size multimedia data elements to generate the complex signature; and a second interface for storing at least the complex signature in a storage unit connected thereto.

    Abstract translation: 用于生成输入多媒体数据元素的复杂签名的汇编器包括用于接收多个最小大小多媒体数据元素的多个签名的第一接口,其中所述多个最小大小多媒体数据元素中的每一个是最小分区 的输入多媒体数据元素; 组合单元,用于组合多个最小尺寸多媒体数据元素中的多个签名以产生复合签名; 以及用于至少将复合签名存储在与其连接的存储单元中的第二接口。

    SYSTEM AND METHOD OF DETECTING COMMON PATTERNS WITHIN UNSTRUCTURED DATA ELEMENTS RETRIEVED FROM BIG DATA SOURCES
    16.
    发明申请
    SYSTEM AND METHOD OF DETECTING COMMON PATTERNS WITHIN UNSTRUCTURED DATA ELEMENTS RETRIEVED FROM BIG DATA SOURCES 有权
    在从大数据源中检索到的未经构造的数据元素中检测公共模式的系统和方法

    公开(公告)号:US20130346412A1

    公开(公告)日:2013-12-26

    申请号:US14013740

    申请日:2013-08-29

    Applicant: CORTICA, LTD.

    CPC classification number: G06F17/30705 G06F17/3002

    Abstract: A method for detection of common patterns within unstructured data elements. The method includes extracting a plurality of unstructured data elements retrieved from a plurality of big data sources; generating at least one signature for each of the plurality of unstructured data elements; identifying common patterns among the generated signatures; clustering the signatures identified to have common patterns; and correlating the generated clusters to identify associations between their respective identified common patterns.

    Abstract translation: 用于检测非结构化数据元素中的公共模式的方法。 该方法包括提取从多个大数据源检索的多个非结构化数据元素; 为所述多个非结构化数据元素中的每一个生成至少一个签名; 识别生成的签名之间的共同模式; 将识别为具有共同模式的签名聚类; 并且将生成的集群相关联以识别它们各自识别的共同模式之间的关联。

    SYSTEM AND METHODS FOR GENERATION OF A CONCEPT BASED DATABASE
    17.
    发明申请
    SYSTEM AND METHODS FOR GENERATION OF A CONCEPT BASED DATABASE 有权
    用于生成基于概念的数据库的系统和方法

    公开(公告)号:US20130159311A1

    公开(公告)日:2013-06-20

    申请号:US13766463

    申请日:2013-02-13

    Applicant: Cortica, Ltd.

    Abstract: A method for generating a concept database respective of a plurality of multimedia data elements (MMDEs) comprises generating a plurality of items from a received MMDE of the plurality of MMDEs; determining the items that are of interest for signature generation; generating at least one signature responsive to at least one item of interest of the received MMDE of the plurality of MMDEs; clustering a plurality of signatures received from the signature generator responsive of the plurality of MMDEs; reducing the number of signatures in each cluster to a create a signature reduced cluster (SRC) of the cluster; associating metadata with the SRC to a concept structure comprised of a plurality of SRCs and their associated metadata; and generating at least one index for mapping the received MMDE to at least one concept structure, wherein the concept database includes concept structures and the generated indices for the plurality of MMDEs.

    Abstract translation: 一种用于生成多个多媒体数据元素(MMDE)的概念数据库的方法包括从所接收的多个MMDE的MMDE生成多个项目; 确定签名生成感兴趣的项目; 响应于所述多个MMDE中接收到的MMDE的至少一个兴趣项生成至少一个签名; 根据多个MMDE对从签名生成器接收的多个签名进行聚类; 将每个集群中的签名数量减少到创建集群的签名减少集群(SRC); 将元数据与SRC相关联到由多个SRC及其相关元数据组成的概念结构; 以及生成用于将所接收的MMDE映射到至少一个概念结构的至少一个索引,其中所述概念数据库包括所述多个MMDE的概念结构和生成的索引。

    Signature generation for multimedia deep-content-classification by a large-scale matching system and method thereof
    18.
    发明授权
    Signature generation for multimedia deep-content-classification by a large-scale matching system and method thereof 有权
    通过大规模匹配系统进行多媒体深度内容分类的签名生成及其方法

    公开(公告)号:US08990125B2

    公开(公告)日:2015-03-24

    申请号:US13682132

    申请日:2012-11-20

    Applicant: Cortica, Ltd.

    Abstract: Content-based clustering, recognition, classification and search of high volumes of multimedia data in real-time. The embodiments disclosed herein are dedicated to real-time fast generation of signatures to high-volume of multimedia content-segments, based on relevant audio and visual signals, and to scalable matching of signatures of high-volume database of content-segments' signatures. The embodiments disclosed herein can be implemented in any applications which involve large-scale content-based clustering, recognition and classification of multimedia data, such as, content-tracking, video filtering, multimedia taxonomy generation, video fingerprinting, speech-to-text, audio classification, object recognition, video search and any other application requiring content-based signatures generation and matching for large content volumes such as, web and other large-scale databases.

    Abstract translation: 基于内容的聚类,识别,分类和实时搜索大量的多媒体数据。 本文公开的实施例专用于基于相关音频和视觉信号对大量多媒体内容片段进行签名的实时快速生成,以及内容片段签名的大容量数据库的签名的可缩放匹配。 本文公开的实施例可以在涉及基于大规模内容的聚类,多媒体数据的识别和分类的任何应用中实现,诸如内容跟踪,视频过滤,多媒体分类生成,视频指纹识别,语音对文本, 音频分类,对象识别,视频搜索和任何其他需要基于内容的签名生成和匹配大型内容卷(如Web和其他大型数据库)的应用程序。

    Method for reducing an amount of storage required for maintaining large-scale collection of multimedia data elements by unsupervised clustering of multimedia data elements
    19.
    发明授权
    Method for reducing an amount of storage required for maintaining large-scale collection of multimedia data elements by unsupervised clustering of multimedia data elements 有权
    用于通过多媒体数据元素的无监督聚类来减少维护多媒体数据元素的大规模收集所需的存储量的方法

    公开(公告)号:US08799196B2

    公开(公告)日:2014-08-05

    申请号:US13731921

    申请日:2012-12-31

    Applicant: Cortica, Ltd.

    Abstract: A method for reducing an amount of storage required for maintaining a large-scale collection of multimedia data elements by unsupervised clustering of multimedia data elements. The method comprises processing the multimedia data elements in the large-scale collection to generate a first cluster of multimedia data elements; storing the first cluster in a storage unit; repeating the generation of a new cluster from the first cluster and un-clustered multimedia elements in the large-scale collection until a single cluster is reached; and storing the new cluster generated at each iteration in the storage unit, wherein a N-th cluster generated at the N-th iteration is stored in the storage unit, wherein the amount of storage required to store the N-th cluster is less than an amount of storage of the large-scale collection, thereby the unsupervised clustering enables reducing the storage amount required to store the multimedia data elements in the large-scale collection.

    Abstract translation: 一种用于通过多媒体数据元素的无监督聚类来减少维护多媒体数据元素的大规模收集所需的存储量的方法。 该方法包括处理大规模集合中的多媒体数据元素以产生多媒体数据元素的第一簇; 将所述第一集群存储在存储单元中; 重复从第一个集群生成新集群,并在大规模集合中重新生成非集群多媒体元素,直到达到单个集群; 以及将在每次迭代生成的新集群存储在所述存储单元中,其中在所述第N次迭代中生成的第N个集群被存储在所述存储单元中,其中存储所述第N个集群所需的存储量小于 大规模收集的存储量,从而无监督的聚类使得能够减少在大规模集合中存储多媒体数据元素所需的存储量。

    SYSTEM AND METHOD FOR DISTRIBUTED SEARCH-BY-CONTENT
    20.
    发明申请
    SYSTEM AND METHOD FOR DISTRIBUTED SEARCH-BY-CONTENT 有权
    用于分布式搜索的系统和方法

    公开(公告)号:US20140095494A1

    公开(公告)日:2014-04-03

    申请号:US14096802

    申请日:2013-12-04

    Applicant: CORTICA, LTD.

    Abstract: A method for conducting search-by-content is provided. The method includes responsive to an input multimedia content item provided to a user device, checking if the input multimedia content item matches at least one concept of a plurality of concepts cached in the user device; retrieving characteristics set for a user of the user device; performing a search, using the at least one matching concept, for multimedia content items similar to the input multimedia content item; determining which of the search results are of interest to the user based on the characteristics set for the user; and saving results that are of interest to the user in the user device, wherein the saved results include multimedia content items.

    Abstract translation: 提供了一种用于进行内容搜索的方法。 该方法包括响应于提供给用户设备的输入多媒体内容项,检查输入多媒体内容项是否与缓存在用户设备中的多个概念的至少一个概念相匹配; 检索为用户设备的用户设置的特征; 使用所述至少一个匹配概念对与所述输入多媒体内容项相似的多媒体内容进行搜索; 基于为用户设置的特征来确定用户感兴趣的哪个搜索结果; 并且保存用户在用户设备中感兴趣的结果,其中所保存的结果包括多媒体内容项。

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