Content-based image retrieval using computational visual attention model
A novel computational visual attention model is developed for content-based image retrieval. Color volume is introduced to detect saliency areas. The energy feature of GLCM is used for globally suppressing map. Orientation-selective mechanism is stimulated for image representation.
image retrieval visual attention gray level co-occurrence matrix saliency structure model saliency structure histogram