A framework for big data analytics in secure network of video surveillance systems based on images indexation

In recent years, the video data has very massive volume. Digitals cameras are capturing innumerable amounts of video data, the majority of which is unused and analyzed. However, image indexation is necessary to retrieve in time the most significant information. Our proposed framework is based on images indexation to advance a big data analysis in very secure video surveillance system. This framework is based on images indexation. In our work, we have studies the most important methods of indexing in the literature and we have classified them in a taxonomical scenario. Then, we have explains the function of each step in the proposed framework. The strength of this work lies in the fact that it gathers between Big Data analytics, Network security, intelligent video surveillance protection and image and video indexing. All this constitutes a diversified field of research area.