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1. WO2020223007 - VIDEO TAGGING BY CORRELATING VISUAL FEATURES TO SOUND TAGS

Publication Number WO/2020/223007
Publication Date 05.11.2020
International Application No. PCT/US2020/028129
International Filing Date 14.04.2020
IPC
G11B 27/036 2006.01
GPHYSICS
11INFORMATION STORAGE
BINFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORD CARRIER AND TRANSDUCER
27Editing; Indexing; Addressing; Timing or synchronising; Monitoring; Measuring tape travel
02Editing, e.g. varying the order of information signals recorded on, or reproduced from, record carriers
031Electronic editing of digitised analogue information signals, e.g. audio or video signals
036Insert-editing
G11B 27/34 2006.01
GPHYSICS
11INFORMATION STORAGE
BINFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORD CARRIER AND TRANSDUCER
27Editing; Indexing; Addressing; Timing or synchronising; Monitoring; Measuring tape travel
10Indexing; Addressing; Timing or synchronising; Measuring tape travel
34Indicating arrangements
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
CPC
G06K 9/00718
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
00718Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
G11B 27/036
GPHYSICS
11INFORMATION STORAGE
BINFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORD CARRIER AND TRANSDUCER
27Editing; Indexing; Addressing; Timing or synchronising; Monitoring; Measuring tape travel
02Editing, e.g. varying the order of information signals recorded on, or reproduced from, record carriers
031Electronic editing of digitised analogue information signals, e.g. audio or video signals
036Insert-editing
G11B 27/34
GPHYSICS
11INFORMATION STORAGE
BINFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORD CARRIER AND TRANSDUCER
27Editing; Indexing; Addressing; Timing or synchronising; Monitoring; Measuring tape travel
10Indexing; Addressing; Timing or synchronising; Measuring tape travel
34Indicating arrangements
H04N 9/8715
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
NPICTORIAL COMMUNICATION, e.g. TELEVISION
9Details of colour television systems
79Processing of colour television signals in connection with recording
87Regeneration of colour television signals
8715involving the mixing of the reproduced video signal with a non-recorded signal, e.g. a text signal
Applicants
  • SONY INTERACTIVE ENTERTAINMENT INC. [JP]/[JP]
  • KRISHNAMURTHY, Sudha [US]/[US] (US)
  • LIU, Xiaoyu [US]/[US] (US)
Inventors
  • KRISHNAMURTHY, Sudha
  • LIU, Xiaoyu
Agents
  • ROGITZ, John L.
Priority Data
16/399,50530.04.2019US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) VIDEO TAGGING BY CORRELATING VISUAL FEATURES TO SOUND TAGS
(FR) ÉTIQUETAGE VIDÉO PAR CORRÉLATION DE CARACTÉRISTIQUES VISUELLES AVEC DES ÉTIQUETTES SONORES
Abstract
(EN)
Automatically recommending sound effects based on visual scenes enables sound engineers during video production of computer simulations, such as movies and video games. This recommendation engine may be accomplished by classifying (200) SFX and using a machine learning engine to output (202) a first of the classified SFX for a first computer simulation (204) based on learned correlations between video attributes of the first computer simulation and the classified SFX.
(FR)
La recommandation automatique d'effets sonores sur la base de scènes visuelles permet à des ingénieurs du son pendant la production vidéo des simulations informatiques, telles que des films et des jeux vidéo. Ce moteur de recommandation peut être accompli par classification (200) d'un SFX et par utilisation d'un moteur d'apprentissage automatique afin de délivrer en sortie (202) un premier du SFX classifié pour une première simulation informatique (204) sur la base de corrélations apprises entre des attributs vidéo de la première simulation informatique et du SFX classifié.
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