GEOMIR2K9 - A Similar Scene Finder

TL;DR

The paper presents GEOMIR2K9, a system for retrieving and visualizing scenic images based on visual content and geographical clustering, aiming to improve user interaction with image databases.

Contribution

It introduces a visual content-based image retrieval system with clustering and a novel interface for scenic images, emphasizing user interaction.

Findings

Developed feature extraction and clustering methods for scenic images

Created a user-friendly interface for image retrieval and visualization

Achieved meaningful grouping of images by geographical location

Abstract

The main goal of the GEOMIR2K9 project is to create a software program that is able to find similar scenic images clustered by geographical location and sorted by similarity based only on their visual content. The user should be able to input a query image, based on this given query image the program should find relevant visual content and present this to the user in a meaningful way. Technically the goal for the GEOMIR2K9 project is twofold. The first of these two goals is to create a basic low level visual information retrieval system. This includes feature extraction, post processing of the feature data and classification/ clustering based on similarity with a strong focus on scenic images. The second goal of this project is to provide the user with a novel and suitable interface and visualization method so that the user may interact with the retrieved images in a natural and meaningful way.