ImageMap - Visually Browsing Millions of Images

21st International Conference on Multimedia Modeling (MMM 2015)

Authors: Kai Uwe Barthel, Nico Hezel, Radek Mackowiak

TL;DR

We present ImageMap, an image browsing system for exploring and searching millions of images using a map-like interface. The system employs an image pyramid built from sorting and clustering techniques, enabling efficient navigation and targeted search results.

Abstract

In this paper we showcase ImageMap - an image browsing system to visually explore and search millions of images from stock photo agencies and the like. Similar to map services like Google Maps users may navigate through multiple image layers by zooming and dragging. Zooming in (or out) shows more (or less) similar images from lower (or higher) levels. Dragging the view shows related images from the same level. Layers are organized as an image pyramid which is build using image sorting and clustering techniques. Easy image navigation is achieved because the placement of the images in the pyramid is based on an improved fused similarity calculation using visual and semantic image information. Our system also allows to perform searches. After starting an image search the user is automatically directed to a region with suiting results. This paper describes how to efficiently construct an easily navigable image pyramid even if the total number of images is huge.

BibTeX

If you use our work in your research, please cite our publication:

@InProceedings{10.1007/978-3-319-14442-9_30,
author="Barthel, Kai Uwe
and Hezel, Nico
and Mackowiak, Radek",
editor="He, Xiangjian
and Luo, Suhuai
and Tao, Dacheng
and Xu, Changsheng
and Yang, Jie
and Hasan, Muhammad Abul",
title="ImageMap - Visually Browsing Millions of Images",
booktitle="MultiMedia Modeling",
year="2015",
publisher="Springer International Publishing",
address="Cham",
pages="287--290",
isbn="978-3-319-14442-9"
}