Cosmin Angheluta
Efficient Extraction of Motion Vectors from H264 Video Streams.
Rel. Enrico Masala. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2021
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Abstract
Many modern applications use video analysis, and in particular motion analysis, to achieve different purposes, from motion recognition to motion prediction. In this regard, a common interest is to speed up the extraction of this type of data, in the form of motion vectors, from the most commonly used video standard: the H264 Standard. The typical H264 decoders, in particular FFmpeg, decode the entire video to extract the motion vectors - a process that is highly expensive in terms of timings. For this reason, the thesis studies the possibility of building an enlightened version of a decoder composed only of the necessary parts for motion extraction (mainly entropy decoding).
The first part of the thesis analyzes this possibility by simplifying the available FFmpeg decoder without optimizing its performance, while the second part deals with the construction of an extractor, following the ITU-T H264 Standard, and the management of motion vectors
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