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Multimedia content recognition using machine learning

keywords MACHINE LEARNING, MULTIMEDIA, PIC4SER

Reference persons ENRICO MASALA

Research Groups INTERNET MEDIA GROUP - IMG

Thesis type RESEARCH / EXPERIMENTAL

Description In the context of the research activities of the Internet Media Group, we are looking for a master thesis student with strong interests in learning and testing techniques for multimedia content recognition based on machine learning principles. Experiments will be carried out using out-of-the-box recognition frameworks (e.g., Google TensorFlow), that will be decided by the student in collaboration with the tutor. A platform with hardware acceleration (CUDA GPUs) will be available for experimentation. The activity can be carried out without being physically present on a day-to-day basis at the Politecnico.

See also  http://media.polito.it/wordpress/theses/specific-proposals/thesis-multimedia-content-recognition-using-machine-learning/

Required skills Knowledge of digital multimedia signal representation (a reasonably good mark in the “Elaborazione e trasmissione di informazioni multimediali” (ETIM, Processing and Transmission of Multimedia Signals) course is appreciated).
Basic knowledge of programming in C and (depending on the framework) potentially python


Deadline 27/10/2018      PROPONI LA TUA CANDIDATURA




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