Image search reranking is an mighty process to refine the text-based image search outcomes. Text-situated image retrieval suffers from principal difficulties which can be precipitated normally by way of the inability of the related textual content to competently describe the image content. The recounted process could be very valuable in giving precise results to users in just one click. In this, different semantic spaces for different query key words can be found offline independently and automatically. Semantic signatures of the images are acquired by projecting their visual features into their associated semantic spaces and these semantic signatures are compacted making use of Hashing strategies. At the online stage, these compacted semantic signatures of images are to be in comparison with re-rank images. It appreciably betters the efficiency and accuracy of web-image search and re-ranking.