Machine Learning Based Analysis of Finnish World War II Photographers
| Autor: | Kateryna Chumachenko, Alexandros Iosifidis, Jenni Raitoharju, Anssi Männistö |
|---|---|
| Přispěvatelé: | Tampere University, Computing Sciences, Communication Sciences, Research group: Multimedia Research Group - MRG |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
History kuvan sisältö World War II arkistot analysis recocginition Lapland War Computer Vision and Pattern Recognition (cs.CV) Computer Science - Computer Vision and Pattern Recognition 02 engineering and technology computer.software_genre computer vision similarities eroavaisuudet 0508 media and communications photo content valokuva-arkistot SA-kuva-arkisto luokitin 0202 electrical engineering electronic engineering information engineering kuvan tyyppi harjoittelu General Materials Science samankaltaisuudet suomalaiset konenäkö photographer recognition luokitusverkosto historialliset valokuva-arkistot pipelines Finland tunnistaminen framing tunnistus training feature extraction differences 213 Electronic automation and communications engineering electronics tehtävän analysointi 05 social sciences kohteiden löytäminen General Engineering photos object detection toinen maailmansota photographer classifier network talvisota machine learning koneoppiminen analyysi task analysis Continuation War 615 History and archaeology 020201 artificial intelligence & image processing photographers lcsh:TK1-9971 historialliset kuva-arkistot kuva-arkistot General Computer Science neural network Lapin sota Feature extraction 518 Media and communications ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 050801 communication & media studies Machine learning koneoppimismenetelmät Historical photo archives Winter War valokuvaajat machine learning algorithms Computing Sciences Communication Sciences kuvat valokuvat photo framing Finnish Wartime Photograph Archive koneoppimisen algoritmit business.industry Finnish photographer analysis classifier network photo type photographs Task analysis machine learning methods jatkosota sommittelu Artificial intelligence lcsh:Electrical engineering. Electronics. Nuclear engineering business 1939-1945 computer Classifier (UML) |
| Zdroj: | IEEE Access, Vol 8, Pp 144184-144196 (2020) Chumachenko, K, Mannisto, A, Iosifidis, A & Raitoharju, J 2020, ' Machine Learning Based Analysis of Finnish World War II Photographers ', IEEE Access, vol. 8, 9159591, pp. 144184-144196 . https://doi.org/10.1109/ACCESS.2020.3014458 |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/ACCESS.2020.3014458 |
| Popis: | In this paper, we demonstrate the benefits of using state-of-the-art machine learning methods in the analysis of historical photo archives. Specifically, we analyze prominent Finnish World War II photographers, who have captured high numbers of photographs in the publicly available Finnish Wartime Photograph Archive, which contains 160,000 photographs from Finnish Winter, Continuation, and Lapland Wars captures in 1939-1945. We were able to find some special characteristics for different photographers in terms of their typical photo content and framing (e.g., close-ups vs. overall shots, number of people). Furthermore, we managed to train a neural network that can successfully recognize the photographer from some of the photos, which shows that such photos are indeed characteristic for certain photographers. We further analyzed the similarities and differences between the photographers using the features extracted from the photographer classifier network. We make our annotations and analysis pipeline publicly available, in an effort to introduce this new research problem to the machine learning and computer vision communities and facilitate future research in historical and societal studies over the photo archives. publishedVersion |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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