International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
In this paper, the authors give the information about the web image search using the multimodal sparse code and voting strategy. The performance of text-based image search which has been improved by using Image re-ranking. Existing re-ranking algorithms have two main drawbacks, first the textual meta-data associated with images is often mismatched with their actual visual content and second the extracted visual features do not accurately describe the semantic similarities between images. Pseudo-Relevance Feedback (PRF) tool is used in many existing re-ranking system. A critical problem for click-based methods is the lack of click data, so only a small number of web images have actually been clicked on by users.