Study programme 2021-2022Français
Machine & Deep Learning for Multimedia Retrieval
Learning Activity
CodeLecturer(s)Associate Lecturer(s)Subsitute Lecturer(s) et other(s)Establishment
I-ILIA-014
  • MAHMOUDI Sidi
  • MAHMOUDI Saïd
    • UMONS
    Language
    of instruction
    Language
    of assessment
    HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term
    AnglaisAnglais1818000Q1


    Content of Learning Activity

    - Content based images retrieval approaches applied to multimedia searches engines 
    - Large multimedia databases management annotation
    - Features extraction using classic methods and convolutional neural networks (CNN).

     

    Required Learning Resources/Tools

    Not applicable

    Recommended Learning Resources/Tools

    Not applicable

    Other Recommended Reading

    Not applicable

    Mode of delivery

    • Mixed

    Type of Teaching Activity/Activities

    • Cours magistraux
    • Conférences
    • Travaux pratiques
    • Travaux de laboratoire
    • Projet sur ordinateur

    Evaluations

    The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)

    (*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
    Date de génération : 01/10/2021
    20, place du Parc, B7000 Mons - Belgique
    Tél: +32 (0)65 373111
    Courriel: info.mons@umons.ac.be