A fast and effective method for static video summarization on compressed domain

Current advances in information technologies have led to the creation of huge video databases. Efficient and effective video summarization methods are needed to quickly browse and locate required video content. In this paper, we present a fast and effective video summarization method that is implemented in the compressed domain. Our four-step proposed method relies on a simple yet powerful descriptor and a scene-detection method, to detect gradual and abrupt transitions with great precision. A saliency-based refinement strategy is used to avoid redundancy and represent video content with as few key-frames as possible. Several experiments were done to assess the proposed methods performance, concluding that it is superior to current solutions.