A memorability based method for video hashing
In this paper, a memorability feature based-video hashing is proposed as an alternative to appearance feature based-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 MFHashing algorithm is promising in video hashing.
video retrieval memory feature appearance feature visual attention video hash
WANG Wulin SUNJiande LIU Ju
School of Information Science and Engineering, Shandong University, Jinan 250100, China School of Information Science and Engineering, Shandong University, Jinan 250100, China;the Hisense
国内会议
武汉
英文
116-123
2015-03-28（万方平台首次上网日期，不代表论文的发表时间）