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Description

The team works in four main related and simultaneously complementary research lines: 
- Pattern Recognition Techniques, Computer Vision and its applications for different problems, mainly content-based image search, distance learning and emotion detection from video sequences.
- Processing of different types of signals, particularly audio and video ones. Group works in this research line include capture, analysis and synthesis of acoustic signals, as well as analysis of video signals, all acting in coordination with the Computer Vision line.
- Design of Intelligent Tutoring Systems (ITSs) with affective capacities. Part of the results obtained from the first and second line of work are used to detect emotions from videos filmed with low-cost hardware by applying techniques specific to the fields of Signal Processing and Computer Vision.
- High-performance and high-availability computer systems offering a fundamental tool for all the previously mentioned fields (pattern recognition, intelligent systems and signal processing) by providing the necessary power in real time whenever required from application areas or in case of high system availability requirements. In this regard, the latest trends focus on distributed systems, the handling of Big Data and the so-called “cloud computing”:  three fundamental aspects in the context of group investigation.

Goals CT
  • Application of pattern recognition techniques and computer vision in different research fields.
  • Application of signal processing techniques in the analysis and synthesis of acoustic signals.
  • Quality improvement of Intelligent Tutoring Systems (ITSs) through customisation and use of affective computing.
  • Problem resolution requiring high performance and / or Big Data processing.
  • Improvement of different aspects of existing distributed platforms: safety, availability, service quality and experience.
Research lines
  • Pattern Recognition and Computer Vision

    Recognition and machine learning techniques applied to linear and nonlinear models. Continuous Distance Learning. Heterogeneous and multi-dimensional data mining, with special emphasis on image analysis and recovery and the processing of audio and video signals.

  • Intelligent Tutoring Systems

    We are currently working on forms of knowledge representation that allow the supervision of the students tasks resolution, as well as the incorporation of affective support through the detection of emotions by means of typical techniques within the field of computer vision

  • Networks and Telecommunication Systems

    This line of research focuses on the development of new network architectures and protocols, as well as on the creation of advanced telecommunication systems to improve communications between users. This work includes the development and implementation of our new services, technologies and network architectures centred on enhancing the quality of the final user’s experience.

  • Parallel computing and Distributed systems

    The line focuses on the application of high performance computing techniques, and the development and optimisation of distributed platforms within the cloud computing paradigm, for Big Data, multimedia applications and intelligent systems problem solving.

  • Signal processing (Sound)

    Advanced methods for the capture, analysis and synthesis of acoustic signals, including musical and voice processes, acoustic simulation of rooms, 3D reproduction methods and intelligent monitoring of acoustic environments.

Management
  • AREVALILLO HERRAEZ, MIGUEL
  • PDI-Catedratic/a d'Universitat
  • Coordinador/a Curs
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Members
  • ALBERT BLANCO, JESUS V
  • PDI-Titular d'Universitat
  • Delegat/Delegada Rector/A
  • Modenitzacio Dels Sistemes de Gestio Academica
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  • CERVERON LLEO, VICENTE
  • PDI-Titular d'Universitat
  • Coordinador/a Curs
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  • CLAVER IBORRA, JOSE MANUEL
  • PDI-Catedratic/a d'Universitat
  • Delegat/Delegada Rector/A
  • Per a la Universitat Digital
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  • COBOS SERRANO, MAXIMO
  • PDI-Catedratic/a d'Universitat
  • Cap de Seccio-Servei
  • Cap d' Iniciatives Uv Ocupacio
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  • DIAZ VILLANUEVA, WLADIMIRO
  • PDI-Titular d'Universitat
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  • FELICI CASTELL, SANTIAGO
  • PDI-Titular d'Universitat
  • Coordinador/a Curs
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  • FERRI RABASA, FRANCESC JOSEP
  • PDI-Catedratic/a d'Universitat
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  • GARCIA PINEDA, MIGUEL
  • PDI-Titular d'Universitat
  • Vicedega/Vicedegana / Vicedirector/a Ets
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  • GUTIERREZ AGUADO, JUAN
  • PDI-Titular d'Universitat
  • Director/a Titulacio Master Oficial
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  • MONTAGUT CLIMENT, MARIO ALBERTO
  • PI-Invest Cont Ramon y Cajal
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  • PEÑA ORTIZ, RAUL
  • PDI-Ajudant Doctor/A
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  • PEREZ SOLANO, JUAN JOSE
  • PDI-Titular d'Universitat
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  • BOTELLA MASCARELL, CARMEN
  • PDI-Titular d'Universitat
  • Responsables de Gestio Academica
  • Coordinador/a Titulacio de Grau
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Collaborators
  • ARNAU VERA, DAVID
  • PDI-Catedratic/a d'Universitat
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Non-UV research staff

Partners

  • José María Alcaraz Calero - GBR-UWest Scotland
  • Aladdin Ayesh - GBR-UDe Montfort
  • Ana María Torres Aranda - UCLM-Castilla-La Mancha
Scientific production by UV researcher
Associated structure
Contact group details
High Performance and Intelligent Systems (HiPIS)

Burjassot/Paterna Campus

Av. Universitat, s/n

46100 Burjassot (Valencia)

+34 963 543 962

Geolocation

www.uv.es/hipis

miguel.arevalillo@uv.es

Contact people
  • AREVALILLO HERRAEZ, MIGUEL
  • PDI-Catedratic/a d'Universitat
  • Coordinador/a Curs
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