A REVIEW ON IMAGE RETRIEVAL USING HYPERGRAPH

Abstract

Retrieving images similar to query image from a large image collection is a challenging task. Image consists of different regions. There are several methods in the literature which are useful to capture region level similarities between pair of images using graph. Each image can be represented by several visual concepts. Visual concept is the object or part of the image having some visual information. There are several images in the database which can be sharing the same visual concepts. Graphs are fails to capture the relationship between multiple vertices. Hypergraph is useful to represent group relationship between multiple vertices. Consider database images as a vertices and visual concept as a hyperedge of a hypergraph. All the images sharing same visual concept, form a hyperedge. Ranking methods on these hypergraph is design, to rank all the images in the database which are relevant to the query. Top k images are retrieved from these images which will handle query relevant image retrieval