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公开(公告)号：EP3296889A1
公开(公告)日：2018-03-21
申请号：EP16189605.5
申请日：2016-09-20
申请人： ALE INTERNATIONAL
IPC分类号： G06F17/30
CPC分类号： H04L9/0825 , G06F3/067 , G06F17/30876 , G06K7/10366 , H04B5/0068
摘要： The invention provides a service distribution infrastructure comprising a plurality of tags (1) and a data distribution server (4) storing data elements in association with tag identifiers and application identifiers,
the data distribution server (4) being configured to receive a data distribution request (13) from a requesting communication device (19), wherein the data distribution request (13) comprises the tag identifier (10) and ant application module identifier (11),
the data distribution server (4) being configured to retrieve the data element (8) associated with both the tag identifier (10) and the application module identifier (11).摘要翻译： 本发明提供一种服务分配基础设施，其包括多个标签（1）和存储与标签标识符和应用标识符相关联的数据元素的数据分配服务器（4），所述数据分配服务器（4）被配置为接收数据分配请求 （13），其中所述数据分配请求（13）包括所述标签标识符（10）和所述ant应用模块标识符（11），所述数据分配服务器（4）被配置为从请求通信设备 （8）与标签标识符（10）和应用模块标识符（11）两者相关联。
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2.发明公开
公开(公告)号：EP4123526A1
公开(公告)日：2023-01-25
申请号：EP21306017.1
申请日：2021-07-19
申请人： ALE International
摘要： A method and system for calculating and sharing occupancy status of a User (100) consuming at least one Company multimedia application (113, 111) and at least one Third party multimedia application (102, 104) through a User device (101), is provided. It involves analyzing, by a Proxy (105), multimedia data streams (112, 103) associated to respectively each one of the consumed multimedia applications, sending, by the Proxy (105) through a first link (106), statistical and informational data relative to the respective analyzed multimedia data streams to an Occupancy service (107) comprising an Occupancy determinator (108) and an Occupancy provider (109), calculating, by the Occupancy determinator (108), based on an analysis of the sent statistical and informational data, a user occupancy status relative to the use by the User (100) of the at least one Company multimedia application and of the at least one 3rd Party multimedia application, and publishing, by the Occupancy provider (109), the user occupancy status through an API.
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公开(公告)号：EP4040435A1
公开(公告)日：2022-08-10
申请号：EP21305164.2
申请日：2021-02-05
申请人： ALE International
IPC分类号： G10L17/18
摘要： A method and system for detecting and recognizing an actual participant (607) as an active speaker in a teleconference (606) by training an encoder before the teleconference takes place, and creating a database (602) of reference vectors representing the voice of candidate participants, then, while the teleconference takes place, comparing reference vectors with vectors representing the voice stream of actual participants. The encoder may for example be a Convolutional Neural Network (CNN).
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公开(公告)号：EP3378277A1
公开(公告)日：2018-09-26
申请号：EP15908690.9
申请日：2015-12-18
申请人： ALE INTERNATIONAL
IPC分类号： H04W80/10
摘要： A communication device comprising: a tag reader (202) configured to: —read an identification tag signal (204) comprising an identification indication of a target communication device (105), a discovery module (206) configured to: —send a discovery request (210) to a registration service infrastructure (205), comprising the identification indication, —receive a discovery response (211) from the registration service infrastructure (205), comprising network location information of the target communication device (105), a session control module (207) configured to: —send a shift request (209) to a home communication node (107) for shifting a communication session from the initial communication device to the target communication device (105), wherein the home communication node (107) handles all communication sessions with the initial communication device, the shift request (209) comprising the network location information of the target communication device (105), —terminate the communication session with the remote communication device (105).
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6.发明公开
公开(公告)号：EP4250204A3
公开(公告)日：2023-12-06
申请号：EP23187113.8
申请日：2021-07-19
申请人： ALE International
摘要： A method and system for inferring a real time multimedia data stream to be of a given type among a group of types, comprising: training a machine learning model with a dataset of statistical data for respectively inbound and outbound streams of multimedia data streams, computing real time statistical data relative to each of the real time inbound stream and the real time outbound stream; and applying the trained machine learning model to the real time inbound stream and the real time outbound stream. The machine learning model comprises: a first layer of two parallel Convolutional Neural Networks, CNNs, for the statistical data of respectively the inbound (402-403) and the outbound (412-413) streams, a first of the two parallel CNNs (402, 412) being configured to detect features related to patterns of the computed statistical data, a second of the two parallel CNNs (403, 413) being configured to detect features related to average of the computed statistical data; and a second layer (404) of one CNN configured to detect features related to a combination of patterns and average of the statistical data for both the inbound and the outbound streams.
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7.发明公开
公开(公告)号：EP4250204A2
公开(公告)日：2023-09-27
申请号：EP23187113.8
申请日：2021-07-19
申请人： ALE International
IPC分类号： G06Q10/10
摘要： A method and system for inferring a real time multimedia data stream to be of a given type among a group of types, comprising: training a machine learning model with a dataset of statistical data for respectively inbound and outbound streams of multimedia data streams, computing real time statistical data relative to each of the real time inbound stream and the real time outbound stream; and applying the trained machine learning model to the real time inbound stream and the real time outbound stream. The machine learning model comprises: a first layer of two parallel Convolutional Neural Networks, CNNs, for the statistical data of respectively the inbound (402-403) and the outbound (412-413) streams, a first of the two parallel CNNs (402, 412) being configured to detect features related to patterns of the computed statistical data, a second of the two parallel CNNs (403, 413) being configured to detect features related to average of the computed statistical data; and a second layer (404) of one CNN configured to detect features related to a combination of patterns and average of the statistical data for both the inbound and the outbound streams.
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