Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på tidsskrift "Multimedia tools and applications"

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    • A multivariable optical remote sensing image feature discretization method applied to marine vessel targets recognition 

      Huang, Mengxing; Chen, Qiong; Wang, Hao (Journal article; Peer reviewed, 2019)
      The effective extraction of continuous features in ocean optical remote sensing image is the key to achieve the automatic detection and identification for marine vessel targets. Since many of the existing data mining ...

    • Action unit detection in 3D facial videos with application in facial expression retrieval and recognition 

      Danelakis, Antonios; Theoharis, Theoharis; Pratikakis, Ioannis (Journal article; Peer reviewed, 2018)
      This work introduces a new scheme for action unit detection in 3D facial videos. Sets of features that define action unit activation in a robust manner are proposed. These features are computed based on eight detected ...

    • Color and sharpness assessment of single image dehazing 

      El Khoury, Jessica; Le Moan, Steven; Thomas, Jean-Baptiste; Mansouri, Alamin (Journal article; Peer reviewed, 2017)
      Image dehazing is the process of enhancing a color image of a natural scene that contains an undesirable veil of fog for visualization or as a pre-processing step for computer vision systems. In this work, we investigate ...

    • A genetic algorithm approach for image representation learning through color quantization 

      Pereira, Erico M.; Torres, Ricardo Da Silva; Santos, Jefersson (Journal article; Peer reviewed, 2021)
      Over the last decades, hand-crafted feature extractors have been used to encode image visual properties into feature vectors. Recently, data-driven feature learning approaches have been successfully explored as alternatives ...

    • Improving static audio keystroke analysis by score fusion of acoustic and timing data 

      Pleva, Matus; Bours, Patrick; Ondas, Stanislav; Juhár, Jozef (Journal article; Peer reviewed, 2017)
      In this paper we investigate the capacity of sound & timing information during typing of a password for the user identification and authentication task. The novelty of this paper lies in the comparison of performance between ...

    • Neural relational inference for disaster multimedia retrieval 

      Fadel, Samuel G.; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
      Events around the world are increasingly documented on social media, especially by the people experiencing them, as these platforms become more popular over time. As a consequence, social media turns into a valuable source ...

    • Optimised Deep Learning Features for Improved Melanoma Detection 

      Majtner, Tomas; Yildirim Yayilgan, Sule; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2018)
      In this article, we are addressing the question of effective usage of the feature set extracted from deep learning models pre-trained on ImageNet. Exploring this option will offer very fast and attractive alternative to ...

    • Sport action mining: Dribbling recognition in soccer 

      Barbon Junior, Sylvio; Pinto, Allan; Barroso, João Vitor; Caetano, Fabio Giuliano; Moura, Felipe Arruda; Cunha, Sergio Augusto; Torres, Ricardo Da Silva (Journal article; Peer reviewed, 2021)
      Recent advances in Computer Vision and Machine Learning empowered the use of image and positional data in several high-level analyses in Sports Science, such as player action classifcation, recognition of complex human ...

    • Unsupervised human action retrieval using salient points in 3D mesh sequences 

      Veinidis, Christos; Pratikakis, Ioannis; Theoharis, Theoharis (Journal article, 2018)
      The problem of human action retrieval based on the representation of the human body as a 3D mesh is addressed. The proposed 3D mesh sequence descriptor is based on a set of trajectories of salient points of the human body: ...