Video Summarization and Textual Description Using Deep Learning
| dc.contributor.advisor | Кузьменко, Дмитро | uk_UA |
| dc.contributor.author | Цимбал, Ілля | uk_UA |
| dc.date.accessioned | 2025-09-02T12:16:54Z | |
| dc.date.available | 2025-09-02T12:16:54Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | This thesis addresses the technical and architectural challenges of building a microservice system that can efficiently process videos, extract their most important frames to create meaningful summaries, and generate natural language descriptions that accurately capture the content of these summarized videos. The research focuses particularly on developing a robust, scalable architecture that can handle diverse video inputs while ensuring consistent quality outputs. | en_US |
| dc.identifier.uri | https://ekmair.ukma.edu.ua/handle/123456789/36369 | |
| dc.language.iso | en_US | en_US |
| dc.status | first published | en_US |
| dc.subject | microservice system | en_US |
| dc.subject | natural language | en_US |
| dc.subject | scalable architecture | en_US |
| dc.subject | video inputs | en_US |
| dc.subject | bachelor`s thesis | en_US |
| dc.title | Video Summarization and Textual Description Using Deep Learning | en_US |
| dc.type | Other | en_US |
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