出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This work proposes a novel system for Violent Scenes Detection, which is based on thecombination of visual and audio features with machine learning at segment-level. MultipleKernel Learning is applied so that multimodality of videos can be maximized. In particular,Mid-level Violence Clustering is proposed in order for mid-level concepts to be implicitlylearned, without using manually tagged annotations. Finally a violence-score for each shot iscalculated. The whole system is trained ona dataset from MediaEval 2013 Affect Task andevaluated by its official metric. The obtained results outperformed its best score.
关键词：Multimedia Analysis; Video Processing; Machine Learning
