Text and Content Based Image Retrieval Via Locality Sensitive Hashing

A path index allows the fast retrieval of graphs based on paths (sequences of nodes connected by edges, whereas the number of edges defines the length of the path) of

The main objective of the proposed system to provide an efficient tool for efficient image retrieval from a huge content of image database using features based on

The subject of image retrieval is discussed intensively in the literature. The success of using BoVW model had also contributed to increasing the number of

[r]

Query Image and/or Database Image Extract Metadata from xml files of all the database images Text Feature vector Image Feature Vector Text matching using cosine

So by means of annotation issue in physiological structure of eye, pixels in center of image are more important and have more effective role in extracted features and also system

The approach is broad and interdisciplinary and fo- cuses on three aspects of image research (IR): text-based re- trieval, content-based retrieval, and user interactions with im-

At first, for comparing two images the user selects a region of interest from the query image then the system obtains most similar region in other images, finally the system