Video Transcoding Methods
dc.contributor.advisor | Babych, Trokhym | |
dc.contributor.author | Hostylo, Denys | |
dc.date.accessioned | 2024-10-29T11:12:59Z | |
dc.date.available | 2024-10-29T11:12:59Z | |
dc.date.issued | 2024 | |
dc.description.abstract | This study thoroughly examines hardware and software solutions that power video transcoding. From the innovative hardware acceleration options provided by Nvidia to the traditional CPU-based transcoding methods and Intel’s Quick Sync Video, and the cutting-edge architecture of Apple Silicon, each approach offers unique advantages and challenges in achieving optimal video processing efficiency. | en.US |
dc.identifier.uri | https://ekmair.ukma.edu.ua/handle/123456789/32057 | |
dc.language.iso | en | en.US |
dc.status | first published | en.US |
dc.subject | Nvidia's NVENC | en.US |
dc.subject | NVDEC | en.US |
dc.subject | Swift Argument Parser | en.US |
dc.subject | coursework | en.US |
dc.title | Video Transcoding Methods | en.US |
dc.type | Other | en.US |
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