Init

VISIÓN Y OBJETIVOS

 

El Instituto de Nuevas Tecnologías de la Imagen constituye un instrumento eficaz para potenciar y fomentar la actividad investigadora relacionada con las tecnologías de la imagen. Su principal cometido es el desarrollo de una investigación de calidad que contribuya al avance del conocimiento y la innovación tecnológica que mejore la calidad de vida de los ciudadanos y la competitividad de las empresas.

SCIENTIFIC-TECHNICAL TOPICS

Due to the variety of fields related to image technologies, some of the disciplines, lines of work and research, and fields of application that INIT intends to comprise are, in the case of scientific-technical disciplines, the following:

  • Artificial vision, recognition of forms, image analysis, visual inspection, quality control, stereoscopy, color analysis, motion analysis, automatic decision, classification of textures.
  • Indoor location, intelligent environments, internet of things, e-Health.
  • Computer graphics, interactive visualization, virtual reality, augmented reality, video games.
    Recognition of forms, data mining, classification, prototype selection, feature selection, combination of classifiers, data complexity analysis, grouping, quality control.
  • IDE, map viewer, mash-ups, web services, sensor networks, VGI, OGC, cloud computing, network computing, smart cities, citizen collaboration, geogames.
  • Automatic speech recognition, machine translation, computational learning, syntactic and structural recognition of forms, neural networks, statistical and structural modeling.
  • Computer aided design, CAD, modeling based on sketches, quality of CAD models.
  • Photonics, laser, ultra-fast science, manufactured products by laser, laser therapy, production of nanofluids, biophotonics for health applications, optical microscopy, optical sensors, three-dimensional image, multidimensional image, biological tissue optics, low-light image.
  • Differential geometry, stereology, medical images, image volume processing. Data analysis, free and non-parametric distribution methods, multivariate analysis, statistical inference techniques, statistical prediction techniques, time series, spatial and temporal-spatial statistics, analysis of large volumes of data. Segmentation and medical image analysis.

STRUCTURE

Directive Council

Director Inmaculada Remolar Quintana
Deputy director Joaquín Huerta Guijarro
Secretary Enrique Tajahuerce Romera

Area Directos

D. Technological Transfer José Miguel Sanchiz Martí
D. Education Ramón Alberto Mollineda Cardenas
D. Research José Salvador Sánchez Garreta

CONTACT

Secretaría

Project Management Rubén García Vidal
Telephone +34 964 38 7764
Fax: +34 964 38 7678
e-maill init@uji.es

Location
Institute of New Imaging Technologies.

Avda. Sos Baynat, s/n
Universitat Jaume I
Castellón de la Plana
Castellón 12071; España

Location inside Universitat Jaume I:
3th y 5th floor – Espaitec2 Building

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