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  KEYWORD

Machine learning based multimedia content analysis using hardware acceleration

keywords HARDWARE, MACHINE LEARNING, MULTIMEDIA

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 analysis based on machine learning principles. Experiments will be carried out using an hardware accelerator (Coral AI) https://coral.ai/products/accelerator/ that will be made available to the student. The activity does not require to be physically present at the Politecnico except for borrowing the device the first time.

See also  http://media.polito.it/wordpress/theses/specific-proposals/thesis-machine-learning-based-multimedia-content-analysis-using-hardware-acceleration/index.html

Required skills Reasonable knowledge of digital multimedia signal coding tools, i.e., being able to encode/decode a video. A reasonably good mark in the "Internet Video Streaming" course (or the older course "Elaborazione e trasmissione di informazioni multimediali" course) is appreciated but not strictly required; Basic knowledge of programming in C and (depending on the framework the Coral AI uses) potentially python


Deadline 22/12/2022      PROPONI LA TUA CANDIDATURA




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