Welcome to the Bahria University DSpace digital repository. DSpace is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.
| dc.contributor.author | Zeeshan Aurangzeb, 01-134211-100 | |
| dc.contributor.author | Shahmeer Fawwad, 01-134211-084 | |
| dc.date.accessioned | 2025-05-13T07:00:10Z | |
| dc.date.available | 2025-05-13T07:00:10Z | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/19516 | |
| dc.description | Supervised by Dr. Sohail Akhtar | en_US |
| dc.description.abstract | Generating highlights from raw video footage is a time-consuming task requiring specialized skills and focused attention. In the world of football, where every moment counts, efficiently processing unedited videos has become increasingly vital. Our project focuses on football, a sport characterized by its fast-paced action and diverse range of events. We aim to streamline the process of extracting the most compelling moments from football matches, enhancing video understanding and viewer engagement. Leveraging machine learning techniques, we seek to identify key events such as goals and remarkable plays. Our approach is designed to cater to the needs of football enthusiasts, providing timely and captivating highlights that capture the essence of each match. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Computer Sciences | en_US |
| dc.relation.ispartofseries | BS (CS);P-2590 | |
| dc.subject | Kick Kapture | en_US |
| dc.subject | AI-Optimized | en_US |
| dc.subject | Football Highlight Extraction | en_US |
| dc.title | Kick Kapture: AI-Optimized Football Highlight Extraction | en_US |
| dc.type | Project Reports | en_US |