11. A computer-implemented method, comprising: obtaining, by a data processing device, initial quality scores for relevant images for a query, the relevant images being images previously selected to be referenced by search results for the query; obtaining relevance feedback data for relevant images that have been selected in response to being referenced by search results for the query, wherein obtaining relevance feedback data for images comprises receiving data specifying a number of selections of the relevant images for presentation from the search results for the query; selecting, by a data processing device, a transformation factor for the query for which the relevant images are identified as relevant, the transformation factor representing a measure of importance of image quality for computing relevance scores of relevant images, wherein the transformation factor is selected based on the relevance feedback data and initial quality scores for the relevant images; computing query specific quality scores for the relevant images based on a function of the transformation factor for the query and the initial quality scores for the images; and computing adjusted relevance scores for the relevant images based on the query specific quality scores and initial relevance scores for the relevant images.
11. A computer-implemented method, comprising: obtaining, by a data processing device, initial quality scores for relevant images for a query, the relevant images being images previously selected to be referenced by search results for the query; obtaining relevance feedback data for relevant images that have been selected in response to being referenced by search results for the query, wherein obtaining relevance feedback data for images comprises receiving data specifying a number of selections of the relevant images for presentation from the search results for the query; selecting, by a data processing device, a transformation factor for the query for which the relevant images are identified as relevant, the transformation factor representing a measure of importance of image quality for computing relevance scores of relevant images, wherein the transformation factor is selected based on the relevance feedback data and initial quality scores for the relevant images; computing query specific quality scores for the relevant images based on a function of the transformation factor for the query and the initial quality scores for the images; and computing adjusted relevance scores for the relevant images based on the query specific quality scores and initial relevance scores for the relevant images. 12. The method of claim 11 , wherein obtaining relevance feedback data for relevant images further comprises receiving data specifying a user specified quality measure for the image relative to the query.