Transdisciplinary Analysis of a Corpus of French Newsreels: The ANTRACT Project
| Autor: | Jean Carrive, Abdelkrim Beloued, Pascale Goetschel, Serge Heiden, Antoine Laurent, Pasquale Lisena, Franck Mazuet, Sylvain Meignier, Bénédicte Pincemin, Géraldine Poels, Raphaël Troncy |
|---|---|
| Přispěvatelé: | Institut National de l'Audiovisuel (INA), Centre d'histoire sociale des mondes contemporains (CHS), Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Institut d’Histoire des Représentations et des Idées dans les Modernités (IHRIM), École normale supérieure - Lyon (ENS Lyon)-Université Lumière - Lyon 2 (UL2)-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon-Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Laboratoire d'Informatique de l'Université du Mans (LIUM), Le Mans Université (UM), Eurecom [Sophia Antipolis], ANR-17-CE38-0010,ANTRACT,Analyse Transdisciplinaire des Actualités filmées (1945-1969)(2017), École normale supérieure de Lyon (ENS de Lyon)-Université Lumière - Lyon 2 (UL2)-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon-Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Pincemin, Bénédicte, Analyse Transdisciplinaire des Actualités filmées (1945-1969) - - ANTRACT2017 - ANR-17-CE38-0010 - AAPG2017 - VALID |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]
Newsreels Qualitative text analysis Text mining Multimedia content annotation Automatic video segmentation Knowledge management Okapi software Media history [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] Digital Humanities FaceRec software [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] [SHS.STAT] Humanities and Social Sciences/Methods and statistics [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB] Cross-disciplinary approach Automatic face recognition [SHS.LANGUE]Humanities and Social Sciences/Linguistics Automatic visual analysis [INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM] Audiovisual archives Automatic alignment of video with text [SHS.STAT]Humanities and Social Sciences/Methods and statistics [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB] TXM software Les Actualités françaises Automatic speech recognition Textometry [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM] [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] Contemporary history [SHS.LANGUE] Humanities and Social Sciences/Linguistics [INFO.INFO-SD] Computer Science [cs]/Sound [cs.SD] Open-source software [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV] [SHS.HIST] Humanities and Social Sciences/History [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD] Quantitative text analysis [SHS.HIST]Humanities and Social Sciences/History Semantic web |
| Zdroj: | Digital Humanities Quarterly Digital Humanities Quarterly, Alliance of Digital Humanities, 2021, Special Issue on AudioVisual Data in DH, 15 (1) Digital Humanities Quarterly, 2021, Special Issue on AudioVisual Data in DH, 15 (1) HAL |
| ISSN: | 1938-4122 |
| Popis: | Editors: Taylor Arnold, Jasmijn van Gorp, Stefania Scagliola, and Lauren Tilton; International audience; The ANTRACT project is a cross-disciplinary apparatus dedicated to the analysis of the French newsreel company Les Actualités Françaises (1945-1969) and its film productions. Founded during the liberation of France, this state-owned company filmed more than 20,000 news reports shown in French cinemas and throughout the world over its 24 years of activity. The project brings together research organizations with a dual historical and technological perspective. ANTRACT’s goal is to study the production process, the film content, the way historical events are represented and the audience reception of Les Actualités Françaises newsreels using innovative AI-based data processing tools developed by partners specialized in image, audio, and text analysis.This article focuses on the data processing apparatus and tools of the project. Automatic content analysis is used to select data, to segment video units and typescript images, and to align them with their archival description. Automatic speech recognition provides a textual representation and natural language processing can extract named entities from the voice-over recording; automatic visual analysis is applied to detect and recognize faces of well-known characters in videos. These multifaceted data can then be queried and explored with the TXM text-mining platform.The results of these automatic analysis processes are feeding the Okapi platform, a client-server software that integrates documentation, information retrieval, and hypermedia capabilities within a single environment based on the Semantic Web standards. The complete corpus of Les Actualités Françaises, enriched with data and metadata, will be made available to the scientific community by the end of the project. |
| Databáze: | OpenAIRE |
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