Abstract
An image retrieval and re-ranking system utilizing a visual re-ranking framework which is proposed in this paper the system retrieves a dataset from the World Wide Web based on textual query submitted by the user. These results are kept as data set for information retrieval. This dataset is then re-ranked using a v isual query (multiple images selected by user from the dataset) which conveys user’s intention semantically. Visual descriptors (MPEG-7) which describe image with respect to low-level fea ture like color, texture, etc are used for calculating distances. These distances are a measure of similarity between query images and m embers of the dataset. Our proposed system has been assessed on different type s of queries such as apples, Console, Paris, etc. Isignificant improvement on initial text-based search results.This system is well suitable for online shopping application. Index Terms : MPEG-7, Color Layout Descriptor (CLD), Edge Histo gram Descriptor (EHD), image retrieval and reranking system
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