National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
4K real-time video encoding using NVENC technology
Buchta, Martin ; Přinosil, Jiří (referee) ; Kříž, Petr (advisor)
Diploma thesis is focused on real-time 4K video encoding using NVENC technology. First chapter describes the most used video codecs H.264 and HEVC. There is an explanation of the principle of graphic cards and their programmable units. Analysis of the solution of open source Video Codec SDK is also part of the thesis. The main focus of the thesis is an implementation of an application which can handle 4K video encoding from multiple cameras in real time. Performance and qualitative tests were performed for application. Results of these tests were analyzed and discussed.
CUDA Accelerated Video Encoding to H.264 Format
Duong, Cuong Tuan ; Drábek, Vladimír (referee) ; Záň, Drahoslav (advisor)
The goal of this bachelor's thesis is to create functional encoder of H.264 format accelerated by CUDA platform. H.264 is at the moment one of the most popular digital compression standards, but because of its high computational demands, it is suitable to process it on GPU. Encoder is written in C/C++ and uses NVCUVID and NVENC API. 
4K real-time video encoding using NVENC technology
Buchta, Martin ; Přinosil, Jiří (referee) ; Kříž, Petr (advisor)
Diploma thesis is focused on real-time 4K video encoding using NVENC technology. First chapter describes the most used video codecs H.264 and HEVC. There is an explanation of the principle of graphic cards and their programmable units. Analysis of the solution of open source Video Codec SDK is also part of the thesis. The main focus of the thesis is an implementation of an application which can handle 4K video encoding from multiple cameras in real time. Performance and qualitative tests were performed for application. Results of these tests were analyzed and discussed.
CUDA Accelerated Video Encoding to H.264 Format
Duong, Cuong Tuan ; Drábek, Vladimír (referee) ; Záň, Drahoslav (advisor)
The goal of this bachelor's thesis is to create functional encoder of H.264 format accelerated by CUDA platform. H.264 is at the moment one of the most popular digital compression standards, but because of its high computational demands, it is suitable to process it on GPU. Encoder is written in C/C++ and uses NVCUVID and NVENC API. 

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