Analyzing Large Image Databases with the Evolving Tree

2005 ◽  
pp. 192-198
Author(s):  
Jussi Pakkanen ◽  
Jukka Iivarinen
Keyword(s):  
Image Databases ◽  
Large Image Databases ◽  
Evolving Tree

Effective and Efficient Browsing of Large Image Databases

2009 ◽  
pp. 142-148
Author(s):  
Gerald Schaefer
Keyword(s):  
Spherical Surface ◽  
Image Databases ◽  
Tree Structure ◽  
Retrieval Method ◽  
Hierarchical Tree ◽  
Large Databases ◽  
The Moment ◽  
Hierarchical Tree Structure ◽  
Large Image Databases ◽  
Interesting Alternative

As image databases are growing, efficient and effective methods for managing such large collections are highly sought after. Content-based approaches have shown large potential in this area as they do not require textual annotation of images. However, while for image databases the query-by-example concept is at the moment the most commonly adopted retrieval method, it is only of limited practical use. Techniques which allow human-centred navigation and visualization of complete image collections therefore provide an interesting alternative. In this chapter we present an effective and efficient approach for user-centred navigation of large image databases. Image thumbnails are projected onto a spherical surface so that images that are visually similar are located close to each other in the visualization space. To avoid overlapping and occlusion effects images are placed on a regular grid structure while large databases are handled through a clustering technique paired with a hierarchical tree structure which allows for intuitive real-time browsing experience.

Intuitive Image Database Navigation by Hue-Sphere Browsing

2011 ◽  
pp. 263-270
Author(s):  
Gerald Schaefer ◽  
Simon Ruszala
Keyword(s):  
Image Database ◽  
Image Databases ◽  
Medium Size ◽  
Area Of Interest ◽  
Large Image Databases ◽  
Image Datasets

Efficient and effective techniques for managing and browsing large image databases are increasingly sought after. This chapter presents a simple yet efficient and effective approach to navigating image datasets. Based on the concept of a globe as visualisation and navigation medium, thumbnails are projected onto the surface of a sphere based on their colour. Navigation is performed by rotating and tilting the globe as well as zooming into an area of interest. Experiments based on a medium size image database demonstrate the usefulness of the presented approach.

scholarly journals Match Graph Construction for Large Image Databases

2012 ◽  
pp. 272-285 ◽  
Author(s):  
Kwang In Kim ◽  
James Tompkin ◽  
Martin Theobald ◽  
Jan Kautz ◽  
Christian Theobalt
Keyword(s):  
Image Databases ◽  
Large Image Databases

Hierarchical browsing and search of large image databases

2000 ◽  
Vol 9 (3) ◽  
pp. 442-455 ◽  
Author(s):  
Jau-Yuen Chen ◽  
C.A. Bouman ◽  
J.C. Dalton
Keyword(s):  
Image Databases ◽  
Large Image Databases

scholarly journals Exploring Human Cognition Using Large Image Databases

2016 ◽  
Vol 8 (3) ◽  
pp. 569-588 ◽  
Author(s):  
Thomas L. Griffiths ◽  
Joshua T. Abbott ◽  
Anne S. Hsu
Keyword(s):  
Image Databases ◽  
Human Cognition ◽  
Large Image Databases
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