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Publikováno v:
In Pattern Recognition November 2020 107
Publikováno v:
In Expert Systems With Applications January 2020 139
Publikováno v:
Proceedings of Second International Conference on Emerging Research in Computing, Information,Communication and Applications (ERCICA-14), pages 123-131, August 2014, Bangalore
Recovering the original printed texts from a document with added handwritten annotations in the marginal area is one of the challenging problems, especially when the original document is not available. Therefore, this paper aims at salvaging automati
Externí odkaz:
http://arxiv.org/abs/1408.2015
Publikováno v:
In Journal of Visual Communication and Image Representation August 2018 55:179-200
Publikováno v:
In Pattern Recognition April 2017 64:168-186
Autor:
Khemlichi, Firdaous, Chougrad, Hiba, Idrissi Khamlichi, Youness, Elboushaki, Abdessamad, Elhaj Ben Ali, Safae
The Deep Reinforcement Learning Process (DRL) has made considerable progress since its inception towards the production of various independent systems. Nowadays, deep learning gives Reinforcement Learning (RL) the ability to conform to several dysfun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ef28d25dc5391682c521bf42decdd1f
Publikováno v:
Multimedia Tools and Applications. 79:28925-28969
With the emergence of consumer RGB-D sensors, discriminative modeling has been shown to perform well in estimating human body pose. However, articulated hand pose estimation remains a challenging problem, mostly due to its high flexibility, occlusion
Autor:
G. Zaz, M. Alami Marktani, A. Elboushaki, Y. Farhane, A. Mechaqrane, M. Jorio, H. Bekkay, S. Bennani Dosse, A. Mansouri, A. Ahaitouf
Publikováno v:
Advances in Sustainability Science and Technology ISBN: 9789811691003
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09db38711d36da8ffaee7a14bcc3e397
https://doi.org/10.1007/978-981-16-9101-0_11
https://doi.org/10.1007/978-981-16-9101-0_11
Publikováno v:
Journal of Visual Communication and Image Representation. 55:179-200
Video abstraction is an interesting topic that aims at briefly representing the entire video stream by producing a short summary either statically or dynamically. In this paper, we present an optimal static video summarization method based on keyfram