A memorability based method for video hashing
Wulin Wang, Jiande Sun, Ju Liu · 2015
In this paper, a memorability feature based-video hashing is proposed as an alternative to appearance feature and visual attention based-algorithms. Inspired by our previous study which shows spatial histograms based on visual attention have positive influence on predicting image memorability, we propose to define the memory feature (MF) and use it to characterize the video content. The saliency map (SM) is constructed by the visual saliency detection in video segments and three local visual attention regions are detected from SM. The spatial histograms feature of the visual attention regions are obtained, which are defined as memory feature (MF) and the supervised hashing with kernels (KSH) is adopted to map the MF to hash. Experiments on different kinds of videos demonstrate that the proposed MF-Hashing algorithm is promising in video hashing.