The description of regions acts as an interface between the extraction of the foreground and the tracking of mobile objects/assets, which consists in the translation of video data into a symbolic representation i.e. descriptors.
This paper presents the deep learning-based inverse tone mapping algorithms for high dynamic range imaging. Specifically, the technical contents of various deep learning-based inverse tone mapping techniques, which are currently being studied