Scene Semantic Recognition

1. Pre-processing

1.1. Wiener Filter

2. Object segmentation

2.1. Fuzzy C-means

2.2. Random Forest

3. Feature extraction

3.1. Bag of Features

3.2. Multiple Orientations

3.3. Fourier Transform

3.4. Blob Extraction

3.5. Geometrical Shapes

4. Recognition

4.1. Artificial Neural Network

4.1.1. MSRC dataset

4.1.2. Caltech 101 dataset

4.2. Maximum Entropy Model

4.2.1. Pascal-VOC12 dataset