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1. 发明授权

US11412325B2 Recording meeting audio via multiple individual smartphones 有权
公开(公告)号：US11412325B2
公开(公告)日：2022-08-09
申请号：US16904434
申请日：2020-06-17
申请人： Evernote Corporation
发明人： Andrew Sinkov , Alexander Pashintsev
IPC分类号： G10L15/00 , H04R3/00 , G06F40/169 , G10L15/26 , H04R3/04 , G10L25/51 , G10L17/00 , G10L21/0208 , G10L21/028
摘要： A method of providing audio information from a meeting includes receiving a first audio stream from a first input audio device and a second audio stream from a second input audio device during the meeting, identifying a first audio fragment from the first audio stream, and identifying a second audio fragment from the second audio stream. The method also includes compiling the audio fragments from the first and second audio streams into an audio file that includes at least the first audio fragment and the second audio fragment. The method further includes providing the audio file to one or more recipients. The audio file identifies the first audio fragment as corresponding to a first participant of the meeting and the second audio fragment as corresponding to a second participant of the meeting.

2. 发明申请

US20210240757A1 Automatic Detection and Transfer of Relevant Image Data to Content Collections 有权
公开(公告)号：US20210240757A1
公开(公告)日：2021-08-05
申请号：US17170697
申请日：2021-02-08
申请人： EVERNOTE CORPORATION
发明人： Dylan Marriott , Daniel Nicolae , Ruben Bakker , Alexander Pashintsev , Zdzislaw Pawel Losvik , Eugene Livshitz , Vitaly Glazkov , Boris Gorbatov , Ilya Buryak
IPC分类号： G06F16/51 , G06F16/583 , G06F16/58 , G06F16/55
摘要： This application is directed to a method for automatically identifying and transferring relevant image data. The method includes obtaining a plurality of content items from a personal content collection and determining attributes based on the plurality of content items. The method includes generating a plurality of relevance rules. The method further includes obtaining unclassified content items and determining for a first unclassified content item a plurality of aggregate relevance scores using the plurality of relevance rules. The method include determining whether a first aggregate relevance score and/or a second aggregate relevance score satisfy threshold score. The method includes, in accordance with a determination that the first aggregate relevance score and the second aggregate relevance score do not satisfy the threshold score, forgoing determining the attributes corresponding to the first unclassified content item, and storing the first unclassified content item in a candidate list of the personal content collection.

3. 发明申请

US20190089865A1 Adaptive Enhancement of Scanned Document Pages 审中-公开
公开(公告)号：US20190089865A1
公开(公告)日：2019-03-21
申请号：US16046888
申请日：2018-07-26
申请人： EVERNOTE CORPORATION
发明人： Alexander Pashintsev , Boris Gorbatov , Leonid Kitainik
IPC分类号： H04N1/387 , H04N1/04 , H04N1/00
摘要： Enhancing image quality of an initial full image of a document page includes obtaining the initial full image of a document page, determining that at least a subset of text in the initial full image does not meet a predefined readability criterion, identifying at least one of a plurality of page fragments in the initial full image of the document page for enhancement, and sending an instruction to a mobile device to provide a photograph of the at least one of the page fragments. The photograph provides a separate fragment image for the at least one of the page fragments. The separate fragment image is then obtained from the mobile device and merged into the initial full image to provide an enhanced full image.

4. 发明授权

US10136011B2 Automatic scanning of document stack with a camera 有权
公开(公告)号：US10136011B2
公开(公告)日：2018-11-20
申请号：US15438625
申请日：2017-02-21
申请人： EVERNOTE CORPORATION
发明人： Alexander Pashintsev , Boris Gorbatov , Eugene Livshitz
IPC分类号： H04N1/04 , H04N1/00
摘要： Automatically scanning multiple document sheets with a camera includes receiving a video stream while the camera is pointed at the multiple document sheets, detecting presence of a first top page of the multiple document sheets based on the video stream, taking a still photograph of the first top page in response to detecting presence of the first top page, detecting presence of a second top page based on the video stream by confirming that the second top page is different from the first top page and by waiting a predetermined amount of time for an image of the second top page to stabilize, and taking a still photograph of the second top page in response to detecting presence of the second top page. Detecting the pages may include determining that the camera is pointing at the stack of documents and a detected page is not obstructed.

5. 发明授权

US09578195B1 Automatic scanning of document stack with a camera 有权
标题翻译：用相机自动扫描文件堆叠
公开(公告)号：US09578195B1
公开(公告)日：2017-02-21
申请号：US15002444
申请日：2016-01-21
申请人： Evernote Corporation
发明人： Alexander Pashintsev , Boris Gorbatov , Eugene Livshitz
IPC分类号： H04N1/04 , H04N1/00
CPC分类号： H04N1/00782 , H04N1/00251 , H04N1/00689 , H04N2201/0084 , H04N2201/0096
摘要： Automatically scanning multiple document sheets with a camera includes receiving a video stream while the camera is pointed at the multiple document sheets, detecting presence of a first top page of the multiple document sheets based on the video stream, taking a still photograph of the first top page in response to detecting presence of the first top page, detecting presence of a second top page based on the video stream by confirming that the second top page is different from the first top page and by waiting a predetermined amount of time for an image of the second top page to stabilize, and taking a still photograph of the second top page in response to detecting presence of the second top page. Detecting the pages may include determining that the camera is pointing at the stack of documents and a detected page is not obstructed.
摘要翻译：使用相机自动扫描多张文档纸张包括：当相机指向多张原稿时接收视频流，基于视频流检测多张原稿的第一首页的存在，拍摄第一张顶部的静态照片响应于检测到第一首页的存在，通过确认第二首页不同于第一首页，基于视频流来检测第二首页的存在，并且通过等待预定的时间量响应于检测到第二首页的存在，稳定第二首页并且拍摄第二首页的静态照片。检测页面可以包括确定相机正在指向文档堆栈，并且检测到的页面不被阻挡。

6. 发明授权

US09235768B1 Custom drawings as content access identifiers 有权
标题翻译：自定义图纸作为内容访问标识符
公开(公告)号：US09235768B1
公开(公告)日：2016-01-12
申请号：US14064654
申请日：2013-10-28
申请人： EVERNOTE CORPORATION
发明人： Alexander Pashintsev , Keith Lang , Juan Carlos Jimenez , Eugene Livshitz
IPC分类号： G06K9/34 , G06K9/00
CPC分类号： G06K9/00852 , G06K9/00496 , H04N1/00328
摘要： Providing access to digitally published data includes creating a note having at least a portion that is handwritten by a first user, converting handwriting of the note into a content access identifier that varies according to the portion that is handwritten by the first user, associating the content access identifier with the digitally published data, and making the digitally published data available to a second user by making the note available to the second user. The digitally published data may be written to a public database and/or a private database. A portion of the note may be pre-printed. A pre-printed distinguishing pattern on the note may indicate that handwritten content corresponds to a content access identifier. The pre-printed portion may be a regular dotted pattern. The note may have a known identifiable color and size.
摘要翻译：提供对数字发布的数据的访问包括创建具有至少一部分由第一用户手写的笔记，将笔记的笔迹转换成根据第一用户手写的部分而变化的内容访问标识符，将内容相关联具有数字发布的数据的访问标识符，以及通过使该备注可供第二用户使数字发布的数据可供第二用户使用。数字发布的数据可以写入公共数据库和/或私人数据库。笔记的一部分可能是预印的。笔记上的预打印区分图案可以指示手写内容对应于内容访问标识符。预打印部分可以是常规点状图案。该笔记可能具有已知的可识别的颜色和大小。

7. 发明申请

US20140050409A1 RECOGNIZING AND PROCESSING OBJECT AND ACTION TAGS FROM STICKERS 有权
标题翻译：识别和处理来自STICKERS的对象和操作标签
公开(公告)号：US20140050409A1
公开(公告)日：2014-02-20
申请号：US13958054
申请日：2013-08-02
申请人： Evernote Corporation
发明人： Phil Constantinou , Chris Dahl , John W. Hoye , Jamie Hull , Gabriel Campodonico , Stephen James White , Alexander Pashintsev
IPC分类号： G06K9/00
CPC分类号： G06K9/2063 , G06F17/30256 , G06K9/00523 , G06K9/2054 , G06K9/228 , G06K9/3216 , G06K9/6202 , G06K2009/226 , G06K2009/363 , G06K2209/01
摘要： Handling data for a photographic image, includes detecting a reference pattern in the data, detecting at least one sticker in the data, determining an action associated with the at least one sticker, and performing the action on the data. The reference pattern may be a uniform grid pattern of dots preprinted on paper. A paper type may be determined according to the reference image. Determining an action associated with the at least one sticker may depend, at least in part, on the paper type. Detecting a particular one of the stickers may cause data for the photographic image to be stored in a particular location. Detecting a particular one of the stickers may cause data for the photographic images to be assigned particular tags used for organizing and searching.
摘要翻译：处理摄影图像的数据包括检测数据中的参考图案，检测数据中的至少一个贴纸，确定与至少一个贴纸相关联的动作，以及对数据执行动作。参考图案可以是预先印在纸上的点的均匀网格图案。可以根据参考图像来确定纸张类型。确定与所述至少一个贴纸相关联的动作可以至少部分地依赖于纸张类型。检测特定的贴纸可能导致摄影图像的数据被存储在特定位置。检测特定的贴纸可能会导致拍摄图像的数据被分配用于组织和搜索的特定标签。

8. 发明授权

US12020175B2 Building training data and similarity relations for semantic space 有权
公开(公告)号：US12020175B2
公开(公告)日：2024-06-25
申请号：US17001311
申请日：2020-08-24
申请人： Evernote Corporation
发明人： Eugene Livshitz , Alexander Pashintsev , Boris Gorbatov
IPC分类号： G06F17/00 , G06F16/33 , G06F40/205 , G06N5/04 , G06N20/00
CPC分类号： G06N5/04 , G06F16/334 , G06F16/3344 , G06F40/205 , G06N20/00
摘要： A method and system for selecting data from a source text corpus for training a semantic data analysis system. The method includes selecting an item of the text corpus, wherein the item includes at least one section. The method includes extracting a section of the at least one section of the item. The method also includes determining a length of the section of the at least one section of the item. Based on the length of the section being greater than a predetermined amount, the method includes subdividing the section into a plurality of fragments. Each fragment of the plurality of fragments is deemed to be similar to each other. Further, the method includes building a training set based on the plurality of fragments. The training set is used to train the semantic data analysis system.

9. 发明公开

US20230326223A1 FAST IDENTIFICATION OF IMAGES IN DOCUMENTS 审中-公开
公开(公告)号：US20230326223A1
公开(公告)日：2023-10-12
申请号：US18334264
申请日：2023-06-13
申请人： Evernote Corporation
发明人： Alexander Pashintsev , Boris Gorbatov , Eugene Livshitz , Vitaly Glazkov
IPC分类号： G06V30/413 , G06T7/60 , G06T3/40 , G06V30/414
CPC分类号： G06V30/413 , G06T7/60 , G06T3/40 , G06V30/414
摘要： Methods and systems for detecting images in documents are described. A method implemented by an electronic device having one or more processors for determining whether a document is an image includes partitioning a document into a plurality of cells. The method includes scaling each of the cells to a standardized number of pixels to provide a corresponding snippet for each of the cells, classifying the snippets, using a neural network, to determine a set of cells classified as text, and determining a volume of text for the document based on a sum of an amount of text in each cell of the set of cells. The method further includes in response to a determination that the volume of text for the document is below a predetermined threshold, determining that the document is an image.

10. 发明申请

US20230099963A1 EXTRACTING STRUCTURED DATA FROM HANDWRITTEN AND AUDIO NOTES 有权
公开(公告)号：US20230099963A1
公开(公告)日：2023-03-30
申请号：US18077143
申请日：2022-12-07
申请人： Evernote Corporation
发明人： Chris O'Neill , Andrew Malcolm , Alexander Pashintsev , Eugene Livshitz , Boris Gorbatov , Natalia Galaktionova , IIya Buryak
IPC分类号： G06F40/186 , G06F40/279
摘要： This application is directed to recognizing unstructured information based on hints provided by structured information. A computer system obtains unstructured information collected from a handwritten or audio source, and identifies one or more terms from the unstructured information. The one or more terms includes a first term that is ambiguous. The computer system performs a recognition operation on the first term to derive a first plurality of candidate terms for the first term, and obtains first contextual information from an information template associated with the unstructured information. In accordance with the first contextual information, the computer system selects a first answer term from the first plurality of candidate terms, such that the first term is recognized as the first answer term.

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