Spatial color indexing using ACC algorithm

This paper presents a fast and robust color indexing techniques, namely auto color correlation (ACC) based on a color correlogram (CC), for extracting and indexing low-level features of images. The proposed technique can reduce computational time of color correlogram technique from O(m²d) to O(md). Additionally, an extended technique of ACC based on the autocorrelogram, namely Auto Color Correlogram and Correlation (ACCC) is proposed. It is the integration of Autocorrelogram and Auto Color Correlation techniques that the computational time of ACCC is still O(md). The experimental result show that the ACCC algorithm has the bester efficiency than the AC algorithms for retrieving images. Moreover, the proposed method consumes less processing time than the CC algorithm so that the proposed method is applicable in practice for real-time processing.