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公开(公告)号:US20160357746A1
公开(公告)日:2016-12-08
申请号:US14728201
申请日:2015-06-02
Applicant: Microsoft Technology Licensing, LLC
Inventor: Anirudh Koul , Ranjitha Gurunath Kulkarni , Serge-Eric Tremblay
IPC: G06F17/30 , G10L15/26 , H04N21/488 , G06F17/27
CPC classification number: G06F17/3053 , G06F17/278 , G06F17/30867 , G10L15/183 , G10L15/26 , H04N21/4888
Abstract: One or more systems and/or techniques are provided for automatic closed captioning for media content. In an example, real-time content, occurring within a threshold timespan of a broadcast of media content (e.g., social network posts occurring during and an hour before a live broadcast of an interview), may be accessed. A list of named entities, occurring within the social network data, may be generated (e.g., Interviewer Jon, Interviewee Kathy, Husband Dave, Son Jack, etc.). A ranked list of named entities may be created based upon trending named entities within the list of named entities (e.g., a named entity may be ranked higher based upon a more frequent occurrence within the social network posts). A dynamic grammar (e.g., library, etc.) may be built based upon the ranked list of named entities. Speech recognition may be performed upon the broadcast of media content utilizing the dynamic grammar to create closed caption text.
Abstract translation: 提供一种或多种系统和/或技术用于媒体内容的自动隐藏字幕。 在一个示例中,可以访问在媒体内容的广播的阈值时间段内发生的实时内容(例如,在面试的直播之前和之后的一个小时内发生的社交网络帖子)。 可以生成出现在社交网络数据内的命名实体的列表(例如,访问者Jon,受访者Kathy,Husband Dave,Son Jack等)。 可以基于命名实体列表中的趋势化命名实体来创建命名实体的排名列表(例如,基于社交网络帖子内更频繁发生的命名实体可以被排名较高)。 可以基于命名实体的排名列表来构建动态语法(例如,库等)。 可以在使用动态语法的媒体内容的广播上执行语音识别以创建隐藏的字幕文本。
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公开(公告)号:US11232153B2
公开(公告)日:2022-01-25
申请号:US16008823
申请日:2018-06-14
Applicant: Microsoft Technology Licensing, LLC
Inventor: Omar Rogelio Alonso , Vasileios Kandylas , Serge-Eric Tremblay
IPC: G06F16/90 , G06F16/9032 , G06F16/22 , G06F16/28 , G06F16/2457
Abstract: Examples are disclosed that relate to grouping query clusters based on intent of a search query. One example provides a system for generating recommended queries related to a search query, the system including a logic subsystem, and memory holding instructions executable by the logic subsystem to receive the search query, execute the search query on an index of pre-computed query clusters to identify a baseline query cluster and one or more neighboring query clusters, form a data structure including queries from within the baseline query cluster and the one or more neighboring query clusters, traverse the data structure to form a hierarchical arrangement of queries, and send the hierarchical arrangement of queries to a computing device from which the search query was received.
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公开(公告)号:US10176265B2
公开(公告)日:2019-01-08
申请号:US15077933
申请日:2016-03-23
Applicant: Microsoft Technology Licensing, LLC
Inventor: Omar Alonso , Jake Hofman , Vasileios Kandylas , Siddhartha Sen , Serge-Eric Tremblay
Abstract: Techniques for designing an awareness engine that organizes and serves popularly discussed and viral online content in response to user search queries. In an aspect, quality online content is identified by analyzing posts by users of a social network over specific time periods. For each item of quality online content identified, a virality score is calculated, and a social signature is constructed. The social signature can be constructed from the content itself, as well as from posts referencing the content. Based on this processing, relevant quality online content having the highest virality scores may be retrieved and served in response to user queries. Further techniques are provided for designing a user interface for the awareness engine.
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公开(公告)号:US10165307B2
公开(公告)日:2018-12-25
申请号:US15491614
申请日:2017-04-19
Applicant: Microsoft Technology Licensing, LLC
Inventor: Anirudh Koul , Serge-Eric Tremblay
IPC: G06K9/00 , H04N21/234 , H04N21/4722 , G06K9/62 , H04N21/2187 , H04N21/8405 , H04N21/44 , H04N21/84 , G06K9/32
Abstract: Architecture that enables the identification of entities such as people and content in live broadcasts (e.g., streaming content (e.g., video) of live events) and non-live presentations (e.g., movies), in realtime, using recognition processes. This can be accomplished by extracting live data related to a live event. With respect to people entities, filtering can be performed to identify the named (people) entities from the extracted live data, and trending topics discovered as relate to the named entities, as associated with the live event. Multiple images of the named entities that capture the named entities under different conditions are captured for the named entities. The images are then processed to extract and learn facial features (train one or more models), and facial recognition is then performed on faces in the video using the trained model(s).
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公开(公告)号:US20170277790A1
公开(公告)日:2017-09-28
申请号:US15077933
申请日:2016-03-23
Applicant: Microsoft Technology Licensing, LLC
Inventor: Omar Alonso , Jake Hofman , Vasileios Kandylas , Siddhartha Sen , Serge-Eric Tremblay
CPC classification number: G06F17/30867 , G06F17/3053 , G06F17/30554 , G06F17/30864 , H04L67/02 , H04L67/22 , H04L67/306
Abstract: Techniques for designing an awareness engine that organizes and serves popularly discussed and viral online content in response to user search queries. In an aspect, quality online content is identified by analyzing posts by users of a social network over specific time periods. For each item of quality online content identified, a virality score is calculated, and a social signature is constructed. The social signature can be constructed from the content itself, as well as from posts referencing the content. Based on this processing, relevant quality online content having the highest virality scores may be retrieved and served in response to user queries. Further techniques are provided for designing a user interface for the awareness engine.
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公开(公告)号:US11481454B2
公开(公告)日:2022-10-25
申请号:US15612242
申请日:2017-06-02
Applicant: Microsoft Technology Licensing, LLC
Inventor: Serge-Eric Tremblay , Vasileios Kandylas , Omar Alonso
IPC: G06F16/00 , G06F16/9535 , G06F16/248 , G06F16/2457 , G06F16/9536 , G06F16/30
Abstract: Described herein are technologies relating to generating search results responsive to receipt of a query. More specifically, the query is mapped to a topic in response to receipt of a query, and social media accounts that have been labeled as being knowledgeable on the topic are identified. Messages in a message feed of the social media account that are germane to the topic are retrieved, and documents referenced (linked) in the retrieved messages are identified. These documents are positioned in a ranked list based upon the documents being referenced in the messages.
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公开(公告)号:US10572524B2
公开(公告)日:2020-02-25
申请号:US15055772
申请日:2016-02-29
Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor: Vasileios Kandylas , Serge-Eric Tremblay , Omar Alonso
Abstract: Aspects of the technology described herein generate a comment-summary interface that can help a user find comments of interest to the user. The comment-summary interface allows a user to access comments according to topics instead of scrolling through all of the comments found in a comment section associated with a primary content, such as a news article on a website, a social post, product review, and such. Categorizing the comments into topics makes more efficient use of computer resources by avoiding the need to display comments that are not of interest to the user. The plurality of comments analyzed by aspects of the technology described herein are unstructured comments. Unstructured comments lack specific subject matter categories designated by a user or preselected by a webpage.
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公开(公告)号:US20180067910A1
公开(公告)日:2018-03-08
申请号:US15256924
申请日:2016-09-06
Applicant: Microsoft Technology Licensing, LLC
Inventor: Omar Alonso , Vasileios Kandylas , Serge-Eric Tremblay
Abstract: Representative embodiments disclose mechanisms to compile documents into a timeline document that tracks the evolution of a topic over time. Social media documents can be used to identify importance or popularity of linked documents (i.e., documents shared by social media in a post, tweet, etc.). A collection of social media documents is analyzed and used to identify a series of n-grams and a ranked list of linked documents. A subset of the ranked list is selected based upon similarity to the series of n-grams. The subset is then summarized and captured, along with underlying supporting data, into an entry of a timeline document. Related entries in different timeline documents can be linked to create a pivot point that allows a user to jump from one timeline to another. Timeline documents can be made available as part of a search performed by a query system.
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公开(公告)号:US09704020B2
公开(公告)日:2017-07-11
申请号:US14741015
申请日:2015-06-16
Applicant: Microsoft Technology Licensing, LLC
Inventor: Anirudh Koul , Serge-Eric Tremblay
IPC: G06K9/00 , H04N21/4722 , G06K9/62 , H04N21/2187 , H04N21/234 , H04N21/8405
CPC classification number: H04N21/23424 , G06K9/00 , G06K9/00221 , G06K9/00288 , G06K9/00711 , G06K9/325 , G06K9/6269 , G06K2009/00738 , H04N21/2187 , H04N21/23418 , H04N21/44008 , H04N21/4722 , H04N21/84 , H04N21/8405
Abstract: Architecture that enables the identification of entities such as people and content in live broadcasts (e.g., streaming content (e.g., video) of live events) and non-live presentations (e.g., movies), in realtime, using recognition processes. This can be accomplished by extracting live data related to a live event. With respect to people entities, filtering can be performed to identify the named (people) entities from the extracted live data, and trending topics discovered as relate to the named entities, as associated with the live event. Multiple images of the named entities that capture the named entities under different conditions are captured for the named entities. The images are then processed to extract and learn facial features (train one or more models), and facial recognition is then performed on faces in the video using the trained model(s).
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公开(公告)号:US10803245B2
公开(公告)日:2020-10-13
申请号:US15256924
申请日:2016-09-06
Applicant: Microsoft Technology Licensing, LLC
Inventor: Omar Alonso , Vasileios Kandylas , Serge-Eric Tremblay
IPC: G06F40/289 , G06F16/28 , G06F16/2457 , H04L29/08
Abstract: Representative embodiments disclose mechanisms to compile documents into a timeline document that tracks the evolution of a topic over time. Social media documents can be used to identify importance or popularity of linked documents (i.e., documents shared by social media in a post, tweet, etc.). A collection of social media documents is analyzed and used to identify a series of n-grams and a ranked list of linked documents. A subset of the ranked list is selected based upon similarity to the series of n-grams. The subset is then summarized and captured, along with underlying supporting data, into an entry of a timeline document. Related entries in different timeline documents can be linked to create a pivot point that allows a user to jump from one timeline to another. Timeline documents can be made available as part of a search performed by a query system.
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