Improving the Effectiveness of the Color Coherence Vector

This paper was motivated by the desire to improve the effectiveness of retrieving images on the basis of their colorcontent by improving the Color Coherence Vector method. There is a growing demand for efficient and effective imageretrieving techniques from the huge multimedia databases on the Internet and from the image libraries. In this paper threemethods have been proposed and developed to improve the effectiveness of the Color Coherence Vector method: The modifiedColor Coherence Vector based on the number of the color coherence regions, The modified Color Coherence Vector based onthe distance of the color coherence regions and The modified Color Coherence Vector based on the angle of the colorcoherence regions. The proposed methods take advantage of the coherence regions number and location information. Theinformation of the coherence regions number, distance and angle along with the coherence and incoherence pixels amount foreach color was presented by using the simple and flexible histogram representation technique. The experiments were carriedout on a collection of 1014 color images of which 100 query images were used as stimuli for retrieving similar images from theimage collection. The experimental results indicate that the three proposed methods perform better than Color CoherenceVector in terms of retrieval effectiveness; the developed methods produce better recall-precision curves and produce betterordering values in terms of Eavg (Ratio (average-rank to ideal-average-rank)). These results provide evidence for theimportance of the coherence regions number and location information which have been neglected by the original method colorcoherence vector