1. A computer-implemented method for generating a visual feature to semantic space transformation map using a set of text images, each text image including one or more annotated character bounding boxes, the method comprising: a) extracting a plurality of image patch descriptors representative of a plurality of respective image patches representative of the text images, the plurality of image patches including a background and a foreground area associated with the text images; b) computing a plurality of aggregated representations of the image patch descriptors, each aggregated representation associated with an image block including two or more image patches; c) computing character annotations associated with each image block by measuring a proximate relationship of an image block with an annotated character bounding box; and d) generating the visual feature to semantic space transformation map by constructing an intermediate subspace which maps the aggregated representations associated with the image blocks computed in step b) to the character annotations associated with each image block computer in step c).
1. A computer-implemented method for generating a visual feature to semantic space transformation map using a set of text images, each text image including one or more annotated character bounding boxes, the method comprising: a) extracting a plurality of image patch descriptors representative of a plurality of respective image patches representative of the text images, the plurality of image patches including a background and a foreground area associated with the text images; b) computing a plurality of aggregated representations of the image patch descriptors, each aggregated representation associated with an image block including two or more image patches; c) computing character annotations associated with each image block by measuring a proximate relationship of an image block with an annotated character bounding box; and d) generating the visual feature to semantic space transformation map by constructing an intermediate subspace which maps the aggregated representations associated with the image blocks computed in step b) to the character annotations associated with each image block computer in step c). 8. The computer-implemented method for generating a visual feature to semantic space transformation map according to claim 1 , wherein the intermediate subspace is constructed using one of CCA (Canonical Correlation Analysis), Ridge Regression and Neural Networks.