navigu.net: NAvigation in Visual Image Graphs gets User-friendly

Due to the size of today’s image collections it can be challenging to fully understand their content. Recent technological advances have enabled efficient visual search. These systems use joint visual and textual feature vectors to identify similar images based on image queries or text descriptions. Despite their effectiveness, high-dimensional feature vectors can lead to long search times for large collections. In this demonstration, we propose a solution that significantly reduces search times and increases the efficiency of the search system. By combining two separate image graphs, our method provides fast approximate nearest neighbor search and allows seamless visual exploration of the entire collection in real time through a standard web browser, using familiar navigation techniques such as zooming and dragging, common in systems like Google Maps.