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National Repository of Grey Literature 1 records found  Search took 0.01 seconds. 
Encrypted video-stream identification
 MACÁK, Tomáš
The aim of this thesis is to create a data set of measured encrypted video streams and subsequently try to discover if it is possible to identify the content of those streams. In the theoretical part the on - demand video streaming is introduced and then suitable machine learning models applicable to solve this problem are presented. The works focused on a similar topic are presented next. In followed practical part the already mentioned data set is created. This set is then analysed and it is determined if there is a way how to represent those measured video streams for later content identification with use of statistical and machine learning models. In the last part of this chapter the machine learning models for classification and similarity detection are implemented and trained. The models are then tested and the results are summarised and compared.
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