Articles

  • Última hora
    Article Count:
    0
  • FAQ
    De la lista siguiente escoge el título de la pregunta para leerla. Si la cuestión no está contestada no dudes en contactar con nosotros.
    Article Count:
    0
    • Ejemplos
      Aquí un sistema de ejemplo de preguntas frecuentes.
      Article Count:
      2
  • Personal

    Nuestro grupo de investigación integra en la actualidad en torno a una treintena de miembros entre profesores, técnicos de apoyo, becarios y colaboradores procedentes de diversos departamentos de la Universidad de Extremadura (UEx).

    vineta
    Profesores
    Personal GIM
    vineta Técnicos de apoyo
    vineta Becarios
    vineta
    Colaboradores
    vineta Empresas
    vineta Atrás
    Article Count:
    0
    • Contributors

      Our research group at present includes about thirty members among faculty, staff technical, fellows and contributors from various departments of the University of Extremadura (UEx).

      Article Count:
      1
    • Faculty

      Our research group at present includes about thirty members among faculty, staff technical, fellows and contributors from various departments of the University of Extremadura (UEx).

      Article Count:
      13
  • Areas

    The current areas of research being conducted within the group are:

    Digital Image-Video

    Digital video image and is an active area of research that attracts the attention of a number of institutional research groups and R & D departments of companies and organizations throughout the world.

    The advance of technology, communications and content distribution tools has led to an unprecedented expansion of the use of the image in our daily activities. And this explosion in the use we make of the image (both fixed and moving) on the web is the main vehicle for expansion.

    Social networking, blogging platforms like Google Images and YouTube made available to users with tools that help us and also encourage their use. No wonder that some of the image is an important research activity focuses on finding solutions to new problems a few years ago we had not even raised.

    It is in this context GIM research develops its main activity. In this section you will find relevant information about this activity, but before we get into it, we will introduce a little more detail, the context of our research.

    Multimedia Retrieval

    What is Multimedia Information Retrieval?

    The multimedia information query by example (Multimedia Information Retrieval, MIR) is a search system to retrieve similar information (videos, images, sounds, etc.) based on its content. In the case of images (Content-Based Image Retrieval, CBIR), the features are treated according to their context in relation with colors, shapes, textures or any other information that may result from the image itself.

    Most of the techniques used in CBIR from the viewpoint of image processing are based on the field of Pattern Recognition and Image Analysis, where the main objective is the classification of objects in a number of categories or classes. If we work with videos (Content-Based Video Retrieval, CBVR), the techniques can be very similar, incorporating in addition features such as movement, relations between frames, quick changes between scenes, etc.. (digital video processing).

    This does not conflict at all with the classic treatment of this information in databases by metadata (tags) or additional textual information can be entered automatically (eg, date of collection, device characteristics, making parameters , etc.) or manually (author, descriptive labels in the document, etc.).

    Information should be indexed to reach an efficent (fast) and effective retrieval. Therefore metadata are meaningless for large image collections and the automatic indexing and retrieval are considered based on what is in the multimedia information according to its content or features (primitive or processed properties).

    In these types of searches the subjectivity of human perception greatly affects the outcome of the queries. Thus, the automatic feature extraction through computational methods must take into account this human factor. It is sometimes quite difficult to obtain similar results computationally and the user really wants. This discrepancy is what is called semantic gap. The computational characteristics is not that high semantic content that have the human perceptual characteristics. Hence this is the reason for MIR systems.

    Article Count:
    4
  • Teaching

    This section includes a list of subjects taught by members of the research group, and the list of master thesis are offered or are under implementation.

    Subjects

    Today the members of the group GIM provide teaching in many degrees of UEx. The following links will find detailed information on specific subjects of middle and top grade imparted by the members of the research group.

    • Analysis and Design of Algorithms (AyDA): 6-credit compulsory subject (4.5 and 1.5 theoretical studies), given in the third semester (second year) of the degrees of Bachelor in "Computer Science in Software Engineering" (IIIS) and "Computer Science Engineering computer "(IIIC) in the Polytechnic School of the University of Extremadura. Matter comprises three parts, each of which develops both in terms theoretical and the practical: 1) introduce aspects of formalization on the specification of algorithms and abstract data types, 2) It is the student learn and understand the concept of time and space efficiency of an algorithm, enabling it to analyze the efficiency of algorithms, both iterative and recursive, determining the appropriate data structures for storage in main memory of different problems, and 3) are study different design schemes of algorithms (Divide and Conquer, voracious, Turning Back, Branching and pruning, and Dynamic Programming), making the student aware of various techniques of algorithm design and reason about its applicability and suitability for solving a problem, providing analytical capacity to compare alternative solutions that solve the same problem. Assignments are made throughout the semester related to algebraic specifications (Maude), with programming contests (with Mooshak) and problem statements (with slides). Full details of the subject, with numerous attachments forums and support for students are in the virtual campus of the University of Extremadura. This subject is taught by professors María Luisa Durán and Pablo García. More information,  Download
    • Databases (BD): 6-credit subject, taught in the third semester (second year) of the degrees of Bachelor in "Computer Science in Software Engineering" (IIIS) and "Computer Science Engineering computer "(IIIC) at the Polytechnic School of the University of Extremadura, by professor Miryam Salas and aided by prof. Félix Rodríguez. The basic content of this course is the study of the relational database design and modeling, labs working with Oracle and SQL. More about this subject (Spanish):  Download
    • Information Systems: Subject of 6 credits (4.5 theoretical and 1.5 practical) in the Master of Computer Science at the Escuela Politécnica. Basic knowledge of databases and programming that the student should know or at least remember to go inside in more advanced aspects from two different points of view, a low level and another application level. The concepts and techniques associated with Information Systems are introduced, also from a functional perspective, specifying in contexts such as spatial databases and GIS (Geographical Information Systems). On the other hand, more advanced integration with ERPs and search of multimedia information based on their content will be achieved. The course is taught by professor Pablo García. More information,  Download
    • Multimedia Information Systems: Course of 6 credits in the University Master Introduction to Research in Technology in their specialty Information Technology and Communications (MUIT-TINC). This subject will be things like: 1. - Multidimensional indexing, 2. - Word processing documents such as meta-media, 3. - Extraction and Feature Selection, 4. - Pattern Classification, 5. - Digital Video Processing and 6. - high performance architectures for video processing in real time. This course is taught by professors Manuel Barrena, Pablo García, Antonio Polo, Juan Carlos Díaz, María Luisa Durán y Andrés Caro. More information,  Download

    Article Count:
    3
  • Página de Inicio

     

     

    Article Count:
    0
  • Proyectos Actuales
    Article Count:
    0
  • Aplicaciones
    Article Count:
    0
    • Applications

      Currently we have the following applications:

      tau-Lop

      tau-loptau-Lop is a new parallel performance model aimed to help in the design and optimization of parallel algorithms inside multicore clusters. It represents a parallel algorithm and predicts accurately its costs through the concept of concurrent transfers.

      By now, tau-Lop has been applied to underlying algorithms in MPICH and Open MPI mainstream implementations of some MPI collectives in shared memory. Current work is in the application of the model to collective operations when deployed in networks of multicore nodes.

      Read More

      Iberian Ham

      JamónIberian Ham: We have developed a real case application: A software application containing three modules was used for the analysis of MRI (Magnetic Resonance Imaging).

      The initial module aimed to detect the Biceps femoris muscle by using Active Contours.

      The second module consisted in the selection procedure for the Region of Interest (ROI) on each image; this selection drew up the maximum rectangular area on the muscle.

      The third and last module included the analysis of the ROIs by applying three common methods in computational texture analysis, which require the use of rectangular images. All three methods used matrices based on second order statistics. The first one, GLCM (Grey Level Coocurrence Matrix), was constructed with information of the complete ROI. The second one, the so-called NGLDM (Neighbouring Grey Level Dependence Matrix), gathered information from square neighbourhoods inside the ROI. The third one, the GLRLM (Grey Level Run Length Matrix), only accounted for information about lineal segments of the ROI.

      Read more

      Article Count:
      8
    • Similitud
      Article Count:
      1
    • University Life
      Article Count:
      1
    • Qatris IManager
      Article Count:
      1
    • Manchas Solares
      Article Count:
      1
    • vManager
      Article Count:
      1
    • Jamón
      Article Count:
      1
    • The Fruit&Vegetable Image Collection
      Article Count:
      1
  • Aplicación WALIH
    Article Count:
    0
  • Bulk load Q-tree SRTM
    Article Count:
    0

Log in