Cultural event recognition by subregion classification with convolutional neural network

In this paper, a novel cultural event classification algorithm based on convolutional neural networks is proposed. The proposed method firstly extracts regions that contain meaningful information. Then, convolutional neural networks are trained to classify the extracted regions. The final classification of a scene is performed by combining the classification results of each extracted region of the scene probabilistically. Compared to the state-of-the-art methods for classifying Chalearn Looking at People cultural event recognition database, the proposed methods shows competitive results.