• Non-experts or experts? Statistical analyses of MOS using DSIS method

  Sugito, Yasuko; Bertalmío, Marcelo (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  In image quality assessments, the results of subjective evaluation experiments that use the double-stimulus impairment scale (DSIS) method are often expressed in terms of the mean opinion score (MOS), which is the average ...
• Practical use suggests a re-evaluation of HDR objective quality metrics

  Sugito, Yasuko; Bertalmío, Marcelo (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  Full-reference objective quality metrics for high dynamic range (HDR) images must be validated in terms of their consistency with subjective evaluation results, and previous studies have found a number of metrics that ...
• In-camera, photorealistic style transfer for on-set automatic grading

  Zabaleta, Itziar; Bertalmío, Marcelo (Society of Motion Picture and Television Engineers (SMPTE), 2018)

  In professional cinema, the intended artistic look of the movie informs the creation of a static 3D LUT that is applied on set, where further manual modifications to the image appearance are registered as 10-parameter ...
• Color stabilization for multi-camera light-field imaging

  Vu-Thanh, Olivier; Canham, Trevor; Vazquez-Corral, Javier; Gil Rodríguez, Raquel; Bertalmío, Marcelo (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  By capturing a more complete rendition of scene light than standard 2D cameras, light-field technology represents an important step towards closing the gap between live action cinematography and computer graphics. Light-field ...
• CoLLIDE: cloud latency-based identification

  Daza, Vanesa; Di Pietro, Roberto; Lombardi, Flavio; Signorini, Matteo (Elsevier, 2017)

  As services steadily migrate to the Cloud, the availability of an overarching identity framework has become a stringent need. Moreover, such an identity framework is now critical in the Internet of Things. To address this ...
• Learning to learn: university student perceptions of a science of learning intervention

  Beardsley, Marc; Martínez Moreno, Judit; Hernández Leo, Davinia (2020)

  Many students use ineffective learning strategies and lack confidence in their learning skills and knowledge. This paper presents the results of a pre- and post-survey study involving first-year university students that ...
• Comparing pre-service and in-service teacher perceptions of the science of learning

  Beardsley, Marc; Martínez Moreno, Judit; Hernández Leo, Davinia (2020)

  This paper presents the results of a survey on teacher formation and beliefs related to the science of learning (e.g. the science of how people learn) completed by in-service and pre-service teachers. The study results ...
• A survey on machine and statistical learning for longitudinal analysis of neuroimaging data in alzheimer's disease

  Martí Juan, Gerard; Sanromà, Gerard; Piella Fenoy, Gemma (Elsevier, 2020)

  Background and Objectives: Recently, longitudinal studies of Alzheimer’s disease have gathered a substantial amount of neuroimaging data. New methods are needed to successfully leverage and distill meaningful information ...
• Modeling the formation of social conventions from embodied real-time interactions

  Freire, Ismael T.; Moulin-Frier, Clement; Sánchez Fibla, Martí; Arsiwalla, Xerxes D.; Verschure, Paul F. M. J. (Public Library of Science (PLoS), 2020)

  What is the role of real-time control and learning in the formation of social conventions? To answer this question, we propose a computational model that matches human behavioral data in a social decision-making game that ...
• Refining the resolution of craniofacial dysmorphology in bipolar disorder as an index of brain dysmorphogenesis

  Katina, Stanislav; Kelly, Brendan D.; Rojas, Mario A.; Sukno, Federico Mateo; McDermott, Aoibhinn; Hennessy, Robin J.; Lane, Abbie; Whelan, Paul F.; Bowman, Adrian W.; Waddington, John L. (Elsevier, 2020)

  As understanding of the genetics of bipolar disorder increases, controversy endures regarding whether the origins of this illness include early maldevelopment. Clarification would be facilitated by a ‘hard’ biological index ...
• Deep embeddings with Essentia models

  Alonso-Jiménez, Pablo; Bogdanov, Dmitry; Serra, Xavier (2020)

  We present the integration of various CNN TensorFlow models developed for different MIR tasks into Essentia. This is a continuation of our previous work [1], extending the list of supported models and adding new algorithms ...
• Essentia.js: a JavaScript library for music and audio analysis on the web

  Correya, Albin Andrew; Bogdanov, Dmitry; Joglar-Ongay, Luis; Serra, Xavier (2020)

  Open-source software libraries for audio/music analysis and feature extraction have a significant impact on the development of Audio Signal Processing and Music Information Retrieval (MIR) systems. Despite the abundance of ...
• The Freesound Loop dataset and annotation tool

  Ramires, António; Font, Frederic; Bogdanov, Dmitry; Smith, Jordan B. L.; Yang, Yi-Hsuan; Ching, Joann; Chen, Bo-Yu; Wu, Yueh-Kao; Wei-Han, Hsu; Serra, Xavier (2020)

  Music loops are essential ingredients in electronic music production, and there is a high demand for pre-recorded loops in a variety of styles. Several commercial and community databases have been created to meet this ...
• Leveraging bitcoin testnet for bidirectional botnet command and control systems

  Franzoni, Francesco; Abellán Álvarez, Iván; Daza, Vanesa (2020)

  Over the past twenty years, the number of devices connected to the Internet grew exponentially. Botnets bene ted from this rise to increase their size and the magnitude of their attacks. However, they still have a weak ...
• Representation of foreseeable choice outcomes in orbitofrontal cortex triplet-wise interactions

  Balaguer-Ballester, Emili; Nogueira Mañas, Ramon; Abofalia, Juan M.; Moreno Bote, Rubén; Sanchez-Vives, Maria V. (Public Library of Science (PLoS), 2020)

  Shared neuronal variability has been shown to modulate cognitive processing. However, the relationship between shared variability and behavioral performance is heterogeneous and complex in frontal areas such as the ...
• UAV-assisted attack prevention, detection, and recovery of 5G networks

  Sabri Abdalla, Aly; Powell, Keith; Geraci, Giovanni; Marojevic, Vuk (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  Unmanned aerial vehicles (UAVs) are emerging as enablers for supporting many applications and services, such as precision agriculture, search and rescue, temporary network deployment or coverage extension, and security. ...
• From the literary field to reality TV: the perils of downward celebrity migration

  Oliva Rota, Mercè (SAGE Publications, 2020)

  This article explores ‘downward celebrity migration’, that is, when a celebrity enters a field that is less legitimate than their field of origin. It does so by studying the case of Lucía Etxebarria, a Spanish literary ...
• Issues with common assumptions about the camera pipeline, and their impact in HDR imaging from multiple exposures

  Gil Rodríguez, Raquel; Vazquez-Corral, Javier; Bertalmío, Marcelo (SIAM (Society for Industrial and Applied Mathematics), 2019)

  Multiple-exposure approaches for high dynamic range (HDR) image generation share a set of building assumptions: that color channels are independent and that the camera response function (CRF) remains constant while changing ...
• Vision models fine-tuned by cinema professionals for High Dynamic Range imaging in movies

  Cyriac, Praveen; Canham, Trevor; Kane, David; Bertalmío, Marcelo (Springer, 2020)

  Many challenges that deal with processing of HDR material remain very much open for the film industry, whose extremely demanding quality standards are not met by existing automatic methods. Therefore, when dealing with HDR ...
• TIV.lib: An open-source library for the tonal description of musical audio

  Ramires, António; Bernardes, Gilberto; Davies, Matthew E. P.; Serra, Xavier (DAFx, 2020)

  In this paper, we present TIV.lib, an open-source library for the content-based tonal description of musical audio signals. Its main novelty relies on the perceptually-inspired Tonal Interval Vector space based on the ...

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