"To gain value from multimedia repositories and make them easily accessible, the content they contain must be indexed and structured for user searching and browsing. However, most if not all of the video content in these databases is stored without any sort of indexing or analysis, and without any associated metadata. Thus, locating clips and browsing content is difficult, time consuming, and generally inefficient.The research proposed by us aspires to address this research opportunity by providing hardware-centric tools for automatically indexing and structuring video content in real-time. Unlike the previous work, we propose to develop a flexible and configurable architecture for feature extraction and content structuring that could be adapted to implement multiple different systems and approaches that have been proposed in the literature to date for different content genres.This project aims to design and verify a hardware system that can extract video features, and use these as a basis to structure and index live sports broadcasts real time, leveraging known characteristics of the content. The proposed system is conceived as a pure hardware device purposely developed for this kind of task—computations will be done without the use of any kind of computer. Within the framework of this project, and under the guidance of the supervisor and co-supervisor, the applicant would like to develop a hardware module that handles low-level feature extraction, and to propose a top layer for the system in which video content description can be performed, based on the low-level features which have been extracted. Whilst fictional content is specifically targeted, the system will be designed in such a way as to be easily extended to other genres."