公开(公告)号：EP2953319A1

公开(公告)日：2015-12-09

申请号：EP15170691.8

申请日：2015-06-04

申请人： Koninklijke KPN N.V. ,  iMinds ,  Universiteit Gent

发明人： Famaey, Jeroen ,  Latré, Steven

IPC分类号： H04L29/06 ,  H04N21/462 ,  H04N21/262 ,  H04N21/442 ,  H04N21/63 ,  H04N21/845

摘要： The invention relates to a method, a system and various components of such a system for selecting a chunk identifier in a content delivery network. In said network a first and a second chunk are available, belonging to different quality representations of a content item. A client device transmits a first chunk retrieval request for retrieving a first chunk and a further request. In response to said first chunk retrieval request and/or said further request, delivery path information is transmitted. The delivery path information may comprise chunk identifiers and bandwidth indicators. On the basis of the delivery path information the client device determines a chunk identifier to be included in a second chunk retrieval request for retrieving a second chunk.

摘要翻译： 本发明涉及一种用于在内容传送网络中选择块标识符的系统的方法，系统和各种组件。 在所述网络中，第一和第二块可用，属于内容项的不同质量表示。 客户机设备发送用于检索第一块和另外的请求的第一块检索请求。 响应于所述第一块检索请求和/或所述另外的请求，发送传送路径信息。 传送路径信息可以包括块标识符和带宽指示符。 基于传递路径信息，客户端设备确定要包括在用于检索第二块的第二块检索请求中的块标识符。

公开(公告)号：EP2953319B1

公开(公告)日：2020-09-09

申请号：EP15170691.8

申请日：2015-06-04

申请人： Koninklijke KPN N.V. ,  IMEC vzw ,  Universiteit Gent

发明人： Famaey, Jeroen ,  Latré, Steven

IPC分类号： H04L29/08 ,  H04N21/462 ,  H04N21/262 ,  H04N21/442 ,  H04N21/63 ,  H04N21/845 ,  H04L29/06

公开(公告)号：EP2897340A1

公开(公告)日：2015-07-22

申请号：EP15151373.6

申请日：2015-01-16

申请人： Koninklijke KPN N.V. ,  iMinds ,  Ghent University

发明人： Famaey, Jeroen ,  Latré, Steven

IPC分类号： H04L29/06 ,  H04L29/08

CPC分类号： H04L67/02 ,  H04L65/4084 ,  H04L65/605 ,  H04L65/80 ,  H04L67/18 ,  H04L67/2814

摘要： A method for providing chunked content to a device comprising a streaming client, preferably an HTTP adaptive streaming client, is described, wherein said chunked content is defined on the basis of a manifest file comprising one or more chunk identifiers and one or more associated chunk locators for locating one or more delivery nodes configured to deliver one or more chunks identified by said chunk identifiers, and wherein said method comprises: determining whether a chunk identified by a chunk identifier in a chunk request message originating from said client can be delivered by a first delivery node, said chunk request message comprising a first network address associated with said first delivery node, preferably said first network address comprising at least part of an IP address, an URL, or an equivalent thereof; if said first delivery node cannot deliver said chunk to said client, rewriting said first network address in said chunk request message into a second network address associated with a delivery node that is capable of delivering said chunk before sending said chunk request message to said second delivery node; and, before sending a chunk response message associated with said chunk request message to said streaming client, rewriting the second network address in said response message into said first network address.

摘要翻译： 描述了一种用于向包括流客户端，优选地HTTP自适应流客户端的设备提供分块内容的方法，其中基于包含一个或多个块标识符和一个或多个关联块定位符的清单文件来定义所述分块内容 用于定位被配置为递送由所述块标识符标识的一个或多个块的一个或多个传送节点，并且其中所述方法包括：确定由来自所述客户端的块请求消息中的块标识符识别的块是否可以由第一 所述块请求消息包括与所述第一传送节点相关联的第一网络地址，优选地，所述第一网络地址包括IP地址，URL或其等同物的至少一部分; 如果所述第一传送节点不能将所述块传送到所述客户端，则将所述块请求消息中的所述第一网络地址重写为与发送节点相关联的第二网络地址，所述传送节点能够在将所述块请求消息发送到所述第二传送之前传送所述块 节点; 并且在将与所述块请求消息相关联的块响应消息发送到所述流客户端之前，将所述响应消息中的第二网络地址重写为所述第一网络地址。

公开(公告)号：EP3789922A1

公开(公告)日：2021-03-10

申请号：EP19195811.5

申请日：2019-09-06

申请人： Imec VZW ,  Universiteit Antwerpen ,  Universiteit Gent

发明人： Shahid, Adnan ,  Fontaine, Jaron ,  De Poorter, Eli ,  Moerman, Ingrid ,  Camelo Botero, Miguel Hernando ,  Latré, Steven

IPC分类号： G06N3/04

摘要： Example embodiments describe a computer-implemented method for providing a neural network for identifying radio technologies (200-203) employed in an environment, the neural network comprising an autoencoder having an encoder, and a classifier, the method comprising the steps of sensing a radio spectrum of the environment thereby obtaining a set of data samples, labelling a subset of the data samples by a respective radio technology thereby obtaining labelled data samples, training the autoencoder in an unsupervised way by unlabelled data samples, training the classifier in a supervised way by the labelled data samples, and providing the neural network by coupling the output of an encoder network of the autoencoder to an input of the classifier.