INFORMATION SEARCH USING TEXT AND IMAGE QUERY

Zaware Sarika Nitin

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 visual 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 feature like color, texture, etc are used for calculating distances. These distances are a measure of similarity between query images and members of the dataset. Our proposed system has been assessed on different types of queries such as apples, Console, Paris, etc. It shows significant improvement on initial text-based search results.This system is well suitable for online shopping application.

Keywords: MPEG-7, Color Layout Descriptor (CLD), Edge Histogram Descriptor (EHD), image retrieval and reranking system

DOI: https://doi.org/10.15623/ijret.2013.0209060