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1. WO2020197393 - A COMPUTER CONTROLLED METHOD OF OPERATING A TRAINING TOOL FOR CLASSIFYING ANNOTATED EVENTS IN CONTENT OF DATA STREAM

Publication Number WO/2020/197393
Publication Date 01.10.2020
International Application No. PCT/NL2020/050207
International Filing Date 26.03.2020
IPC
G06K 9/00 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06K 9/62 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
CPC
G06K 9/00765
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
00711Recognising video content, e.g. extracting audiovisual features from movies, extracting representative key-frames, discriminating news vs. sport content
00765Segmenting video sequences, i.e. computational techniques such as parsing or cutting the sequence, low-level clustering or determining units such as shots and scenes
G06K 9/6255
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
6255Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries, e.g. user dictionaries
Applicants
  • TELETRAX B.V. [NL]/[NL]
Inventors
  • LANGELAAR, Gerrit Cornelis
  • VERHAGEN, John Pierre Jacobus
Agents
  • ALGEMEEN OCTROOI- EN MERKENBUREAU B.V.
Priority Data
202281226.03.2019NL
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) A COMPUTER CONTROLLED METHOD OF OPERATING A TRAINING TOOL FOR CLASSIFYING ANNOTATED EVENTS IN CONTENT OF DATA STREAM
(FR) PROCÉDÉ COMMANDÉ PAR ORDINATEUR PERMETTANT D'UTILISER UN OUTIL D'APPRENTISSAGE POUR CLASSER DES ÉVÉNEMENTS ANNOTÉS DANS LE CONTENU D'UN FLUX DE DONNÉES
Abstract
(EN)
Accurate real time automatic detection of events in content of a data stream, such as a transition to a commercial block in the content of a broadcast audio/video data stream, relies on a trainable event classifier that operates on a well- balanced training set input to the classifier. The present disclosure provides a computer controlled method of operating a training tool for classifying events annotated in the content of a data stream. The training tool presents training samples comprising separators and corresponding descriptors that relate to trigger features obtained from variations in parameters of the annotated data stream, and derived features restoring relationships between various separators and corresponding descriptors.
(FR)
Une détection en temps réel automatique et précise d'événements dans un contenu d'un flux de données, tel qu'une transition vers un bloc commercial dans le contenu d'un flux de données audio/vidéo de diffusion, repose sur un classificateur d'événements à capacité d'apprentissage qui opère sur un ensemble d'apprentissage équilibré entré dans le classificateur. L'invention concerne un procédé commandé par ordinateur permettant d'utiliser un outil d'apprentissage pour classer des événements annotés dans le contenu d'un flux de données. L'outil d'apprentissage présente des échantillons d'apprentissage comprenant des séparateurs et des descripteurs correspondants qui se rapportent à des caractéristiques de déclenchement obtenues à partir de variations de paramètres du flux de données annoté, ainsi qu'à des caractéristiques dérivées restituant des relations entre divers séparateurs et les descripteurs correspondants.
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