Improving Audiovisual Content Annotation Through a Semi-automated Process Based on Deep Learning
| Autor: | Teresa Andrade, Paula Viana, Luís Vilaça, Pedro Carvalho |
|---|---|
| Jazyk: | angličtina |
| Předmět: |
Contextual image classification
business.industry Process (engineering) Computer science Deep learning 02 engineering and technology 010501 environmental sciences Machine learning computer.software_genre Object (computer science) 01 natural sciences Facial recognition system Object detection Identification (information) Annotation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business computer 0105 earth and related environmental sciences |
| Zdroj: | Advances in Intelligent Systems and Computing Advances in Intelligent Systems and Computing-Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018) Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018) Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018) ISBN: 9783030170646 SoCPaR |
| ISSN: | 2194-5357 2194-5365 |
| DOI: | 10.1007/978-3-030-17065-3_7 |
| Popis: | Over the last years, Deep Learning has become one of the most popular research fields of Artificial Intelligence. Several approaches have been developed to address conventional challenges of AI. In computer vision, these methods provide the means to solve tasks like image classification, object identification and extraction of features. |
| Databáze: | OpenAIRE |
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