Indexing Video by the Content
Mohammed Amin Belarbi, Saïd Mahmoudi, Ghalem Belalem · Advances in intelligent systems and computing · 2016
Indexing video by content represents an important research area that one can find in the field of intelligent search of videos. Visual characteristics such as color are one of the most relevant components used to achieve this task. We are proposing in this paper the basics of indexing by content, the various symbolic features and our approach. Our project is composed of a system based on two phases: an indexing process, which can take long time, and a search engine, which is done in real time because features are already extracted at the indexing phase.