Robust Scene Recognition Using Scene Context Information for Video Contents

We propose a robust scene recognition framework using scene context information for multimedia contents. In multimedia contents, some scene sequences are more likely to happen compared with other scene sequences. We employ a statistical approach to deal with this scene context information. We employ a hidden Markov model (HMM) to model each scene and an n-gram language model to represent the scene context. We evaluated the proposed method in scene recognition experiments for 16 scenes in video data of 25 baseball games. The proposed method significantly improved the results compared to that without scene context information.