Image Retrieval Based on Multiview Constrained Nonnegative Matrix Factorization and Gaussian Mixture Model Spectral Clustering Method

Figure 1

Flowchart of the proposed framework. During the training period, raw image features are extracted, whose sparse representations acquired by NMF are labelled via GMM and spectral clustering. Utilizing the sparse features of the query image and the trained GMM, the proposed method then outputs the similarity ranking based on the probabilities that the images belong to the clusters.