Kick Kapture: AI-Optimized Football Highlight Extraction

Welcome to DSpace BU Repository

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.

Show simple item record

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


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account