A method for producing a compressed bit-stream from a digital image includes the steps of a) processing the digital image to produce a main subject belief map containing a continuum of belief values relating to the importance of subject and background regions in the image, b) performing a spatio-frequency transformation on the digital image to produce an array of transform coefficients, c) deriving a distortion-weighting factor for each transform coefficient from the belief map, and d) producing a compressed bit stream using an image compression system that is responsive to the distortion-weighting factors. The specific image compression system may be selected from a variety of image compression systems, including JPEG compression, JPEG2000 compression or vector quantization. The production of the main subject belief map involves the extraction of at least one structural saliency feature and at least one semantic saliency feature from the image, and the integration of the structural saliency feature and the semantic feature using a probabilistic reasoning engine into an estimate of a belief that a region of the digital image is the main subject. <IMAGE>
A method for utilizing subject content analysis for producing a compressed bit stream from a digital image