Figure 1: Overall framework of the proposed indoor scene classification method based on CNN feature. There are two parts in the framework. The first part is to generate scene category features by CNN feature extraction and process. The second step is to match CNN feature vector of the test scene image with the scene category features by a new feature matching algorithm to generate scores of different scenes. The largest score indicates the result of scene classification. For example, the category of the test scene image is bedroom with the highest score in Figure 1.