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    • 4. 发明授权
    • Multiple index mixed media reality recognition using unequal priority indexes
    • 使用不平等优先索引的多重指数混合媒体现实识别
    • US08676810B2
    • 2014-03-18
    • US12240596
    • 2008-09-29
    • Jorge MoraledaBerna ErolJonathan J. Hull
    • Jorge MoraledaBerna ErolJonathan J. Hull
    • G06F17/30
    • G06F17/30247G06F17/30876G06F21/6218G06F21/78G06F21/80G06F2221/2115G06K9/00463G06K9/00993G06K9/6262
    • An MMR system for processing image queries across index tables with unequal priority comprises a plurality of mobile devices, a pre-processing server or MMR gateway, and an MMR matching unit, and may include an MMR publisher. The MMR matching unit receives an image query from the pre-processing server or MMR gateway and sends it to one or more of the recognition units to identify a result including a document, the page, and the location on the page. The MMR matching unit includes a dispatcher, a plurality of recognition units, and index tables, as well as an image registration unit. In one embodiment, the system includes an MMR matching plug-in installed on the mobile device. The present invention also includes methods for processing image queries across index tables of unequal priority and updating a high priority index based on received or projected image queries.
    • 用于处理具有不等优先级的索引表的图像查询的MMR系统包括多个移动设备,预处理服务器或MMR网关以及MMR匹配单元,并且可以包括MMR发布者。 MMR匹配单元从预处理服务器或MMR网关接收图像查询,并将其发送到一个或多个识别单元,以识别包括文档,页面和页面上的位置的结果。 MMR匹配单元包括调度器,多个识别单元和索引表,以及图像配准单元。 在一个实施例中,系统包括安装在移动设备上的MMR匹配插件。 本发明还包括用于处理跨越不等优先级的索引表的图像查询的方法,并且基于接收或投影的图像查询更新高优先级索引。
    • 5. 发明申请
    • Retrieving Electronic Documents by Converting Them to Synthetic Text
    • 通过将电子文档转换为合成文本来检索电子文档
    • US20140012857A1
    • 2014-01-09
    • US13933078
    • 2013-07-01
    • Jorge Moraleda
    • Jorge Moraleda
    • G06F17/27
    • G06F17/277G06K9/00463G06K9/00483G06K9/4685G06K2209/01
    • The present invention relies on the two-dimensional information in documents and encodes two-dimensional structures into a one-dimensional synthetic language such that two-dimensional documents can be searched at text search speed. The system comprises: an indexing module, a retrieval module, an encoder, a quantization module, a retrieval engine and a control module coupled by a bus. Electronic documents are first indexed by the indexing module and stored as a synthetic text library. The retrieval module then converts an input image to synthetic text and searches for matches to the synthetic text in the synthetic text library. The matches can be in turn used to retrieve the corresponding electronic documents. In one or more embodiments, the present invention includes a method for comparing the synthetic text to documents that have been converted to synthetic text for a match.
    • 本发明依赖于文档中的二维信息并将二维结构编码为一维合成语言,从而能够以文本搜索速度搜索二维文档。 该系统包括:通过总线耦合的索引模块,检索模块,编码器,量化模块,检索引擎和控制模块。 电子文档首先由索引模块索引并存储为合成文本库。 然后,检索模块将输入图像转换为合成文本,并搜索与合成文本库中的合成文本的匹配。 比赛可以依次用于检索相应的电子文档。 在一个或多个实施例中,本发明包括用于将合成文本与已经被转换为用于匹配的合成文本的文档进行比较的方法。
    • 8. 发明授权
    • Mixed media reality indexing and retrieval for repeated content
    • 混合媒体现实索引和检索重复内容
    • US08385660B2
    • 2013-02-26
    • US12491018
    • 2009-06-24
    • Jorge MoraledaJonathan J. HullKurt W. Piersol
    • Jorge MoraledaJonathan J. HullKurt W. Piersol
    • G06K9/62
    • G06F17/30825G06F17/30011G06F17/30858
    • A system and method for indexing and retrieval of document images in an MMR system having repeated content is described. The system provides one or more hierarchical shared content indices that produce faster and/or more accurate search results. The system is also advantageous because the number and configuration of the hierarchical shared content indices is automated, scalable and efficient for processing documents with partially repeated content. In particular, the MMR matching unit includes a hierarchical shared content index (HSCI) and associated methods of use for processing images where the MMR system includes repeated content. The present invention also includes a number of novel methods including a method for adding an image to a hierarchical shared content index; a method for deleting an image from the hierarchical shared content index, and a method for using the hierarchical shared content index for image recognition, as well as a method for combining multiple MMR indexes into a hierarchical MMR index.
    • 描述了具有重复内容的MMR系统中的文档图像索引和检索的系统和方法。 该系统提供一个或多个分层共享内容索引,其产生更快和/或更准确的搜索结果。 该系统也是有利的,因为分层共享内容索引的数量和配置是自动化,可扩展和高效的,用于处理具有部分重复内容的文档。 特别地,MMR匹配单元包括分级共享内容索引(HSCI)和用于处理MMR系统包括重复内容的图像的相关联的使用方法。 本发明还包括许多新颖的方法,包括用于将图像添加到分层共享内容索引的方法; 从分层共享内容索引中删除图像的方法,以及使用分层共享内容索引进行图像识别的方法,以及将多个MMR索引组合成分层MMR索引的方法。
    • 9. 发明申请
    • Retrieving Electronic Documents by Converting Them to Synthetic Text
    • 通过将电子文档转换为合成文本来检索电子文档
    • US20120173504A1
    • 2012-07-05
    • US13415228
    • 2012-03-08
    • Jorge Moraleda
    • Jorge Moraleda
    • G06F17/30
    • G06F17/277G06K9/00463G06K9/00483G06K9/4685G06K2209/01
    • The present invention relies on the two-dimensional information in documents and encodes two-dimensional structures into a one-dimensional synthetic language such that two-dimensional documents can be searched at text search speed. The system comprises: an indexing module, a retrieval module, an encoder, a quantization module, a retrieval engine and a control module coupled by a bus. Electronic documents are first indexed by the indexing module and stored as a synthetic text library. The retrieval module then converts an input image to synthetic text and searches for matches to the synthetic text in the synthetic text library. The matches can be in turn used to retrieve the corresponding electronic documents. In one or more embodiments, the present invention includes a method for comparing the synthetic text to documents that have been converted to synthetic text for a match.
    • 本发明依赖于文档中的二维信息并将二维结构编码为一维合成语言,从而能够以文本搜索速度搜索二维文档。 该系统包括:通过总线耦合的索引模块,检索模块,编码器,量化模块,检索引擎和控制模块。 电子文档首先由索引模块索引并存储为合成文本库。 然后,检索模块将输入图像转换为合成文本,并搜索与合成文本库中的合成文本的匹配。 比赛可以依次用于检索相应的电子文档。 在一个或多个实施例中,本发明包括用于将合成文本与已经被转换为用于匹配的合成文本的文档进行比较的方法。
    • 10. 发明授权
    • Retrieving electronic documents by converting them to synthetic text
    • 通过将电子文档转换为合成文本来检索电子文档
    • US08176054B2
    • 2012-05-08
    • US11777142
    • 2007-07-12
    • Jorge Moraleda
    • Jorge Moraleda
    • G06F7/00
    • G06F17/277G06K9/00463G06K9/00483G06K9/4685G06K2209/01
    • The present invention relies on the two-dimensional information in documents and encodes two-dimensional structures into a one-dimensional synthetic language such that two-dimensional documents can be searched at text search speed. The system comprises: an indexing module, a retrieval module, an encoder, a quantization module, a retrieval engine and a control module coupled by a bus. A number of electronic documents are first indexed by the indexing module and stored as a synthetic text library. The retrieval module then converts and input image to synthetic text and searches for matches to the synthetic text in the synthetic text library. The matches can be in turn used to retrieve the corresponding electronic documents. It should be noted that a plurality of matches and corresponding electronic documents may be retrieves ranked by order according the similarity of the synthetic text. In one or more embodiments, the present invention includes a method for indexing documents by converting them to synthetic text, and a method for retrieving documents by converting an image to synthetic text and comparing the synthetic text to documents that have been converted to synthetic text for a match.
    • 本发明依赖于文档中的二维信息并将二维结构编码为一维合成语言,从而能够以文本搜索速度搜索二维文档。 该系统包括:通过总线耦合的索引模块,检索模块,编码器,量化模块,检索引擎和控制模块。 许多电子文档首先由索引模块索引并存储为合成文本库。 然后,检索模块将图像转换并输入到合成文本,并搜索与合成文本库中的合成文本的匹配。 比赛可以依次用于检索相应的电子文档。 应当注意,可以根据合成文本的相似性通过顺序来检索多个匹配和相应的电子文档。 在一个或多个实施例中,本发明包括通过将文档转换为合成文本来索引文档的方法,以及通过将图像转换为合成文本并将合成文本与已转换为合成文本的文档进行比较来检索文档的方法, 一场比赛