Classification of Individually Pleasant Images Based on Neural Networks with the Bag of Features

It is important to determine the correct semantic categories for the classification of photographic scenes. In particular, it is difficult to categorize emotional pictures, including individually pleasant or unpleasant contents. Therefore, the method of searching for individually emotional information from various pictures was investigated using neural networks with the bag of features scheme. The neural network classifier for emotional pictures performed a partially accurate estimation; however, there were some cases in which the bag of features scheme based on local features mistakenly selected similar images in a different semantic category. Further robust searching methods for individually emotional categorization must be considered.