An interactive tool for manual, semi-automatic and automatic video annotation
The aim of annotation tools is to relieve the user from the burden of the manual annotation as much as possible. We developed an interactive video annotation tool that supports manual, semi-automatic and automatic annotations. The tool integrates several computer vision algorithms in an interactive and incremental learning framework. A quantitative and qualitative evaluation of the proposed tool on a challenging case study domain is presented. The use of the semi-automatic and automatic modality drastically reduces the human effort.
interactive video annotation automatic annotation incremental learning semi-automatic annotation object detection