User Attention Based Arousal Content Modeling

The affective content of a video is defined as the expected amount and type of emotion that are contained in a video. Utilizing this affective content will extend the current scope of application possibilities. The dimensional approach to representing emotion can play an important role in the development of an affective video content analyzer. The three basic affect dimensions are defined as valence, arousal and control. This paper presents a novel FPGA-based system for modeling the arousal content of a video based on user saliency and film grammar. The design is implemented on a Xilinx Virtex-II xc2v6000 on board a RC300 board.