个性化视频情感内容分析:综述

摘要

个性化视频情感内容分析是近几年兴起的一个研究热点,其目的是基于视频用户的个人兴趣和爱好来向其推荐个性化的视频内容.然而,当前仍然缺乏对该研究方向的最新研究进展的综述和讨论.为解决此问题,从3个方面对该领域的研究成果进行论述,讨论了各类现有方法的优缺点、存在的问题和挑战,并对未来的研究方向提出一些思路和建议.%Personalized affective video content analysis is an emerging research field which aims to provide personalized video recommendation to an individual viewer tailored to his/her personal preferences or interests.However,there still lacks a review about recent progress on the development of approaches in this field.This paper presented a review of state-of-the-art approaches towards building automatic systems for personalized affective video content analysis from three perspectives of audio-visual features in video content (e.g.light,color,and motion),physiological response signals from viewers (e.g.facial expression,body gesture,and pose),and personalized recommendation techniques.It discussed the advantages and disadvantages of existing approaches,and highlighted several challenges and issues that may need to he overcomed in future work.