Image retrieval by subspace-projected color and texture features

Weidi Liu, Wei Li, Yan Huang, Jingliang Peng

Abstract: In this work, we propose to retrieve images according to a subspace-projected color and texture (SuPCAT) feature descriptor. Firstly, we propose a novel contrast and color distribution (CoCD) descriptor to characterize the pixels' colors in an image. Thereafter, we combine the proposed CoCD color feature descriptor with four effective texture feature descriptors and conduct subspace projection on the combined feature descriptor for reduced dimensionality and increased discriminativeness, which leads to the proposed SuPCAT feature descriptor. By integrating the SuPCAT feature descriptor with a basic Euclidean distance metric, we construct an image retrieval scheme and conduct experiments to demontrate its outstanding performance.