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Journal ArticleDOI

A next generation browsing environment for large image repositories

Gerald Schaefer
- 01 Mar 2010 - 
- Vol. 47, Iss: 1, pp 105-120
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TLDR
This paper presents an effective approach to handling image repositories providing the user with an intuitive interface of visualising and browsing large collections of pictures, based on the idea of similarity-based organisation of images.
Abstract
Next generation environments will change the way people work and live as they will provide new advances in areas ranging from remote work and education, e-commerce, gaming to information-on-demand. In many of these applications intelligent interpretation of multimedia data such as image, video and audio resources is necessary. In this paper we present an effective approach to handling image repositories providing the user with an intuitive interface of visualising and browsing large collections of pictures. Based on the idea of similarity-based organisation of images where images that are visually similar are located close to each other in visualisation space, images are projected onto a sphere with which the user can interact. Rotating the sphere reveals images of different colours while tilting operations focus on brighter or darker images. Large image collections are handled through a hierarchical approach that brings up similar, previously hidden, images when zooming in on an area. Furthermore, the way images are organised can be interactively changed by the user. Our next generation browsing environment has been successfully tested on a large database of several thousand images.

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Citations
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Journal ArticleDOI

Browsing and exploration of video sequences: A new scheme for key frame extraction and 3D visualization using entropy based Jensen divergence

TL;DR: A unified scheme for video browsing and exploration that involves two components, video key frame extraction and 3D visualization, which is computationally inexpensive and yet effective, as shown by experimental results.
Dissertation

Perceptually relevant browsing environments for large texture databases

Fraser Halley
TL;DR: The development of a large database of texture stimuli, the production of a similarity matrix reflecting human judgements of similarity about the database, and the development of three browsing models that exploit structure in the perceptual information for navigation are described.
Proceedings ArticleDOI

Image retrieval on the Honeycomb Image Browser

TL;DR: In this paper, the Honeycomb Image Browser is followed, namely that of browsing image databases for image retrieval, and large image databases are visualised on a hexagonal lattice with image thumbnails occupying hexagons.

Towards Large-Scale Multimedia Exploration

TL;DR: It is claimed that adaptability and scalability should be researched on both conceptual as well as technical level in order to model multimedia exploration approaches which are able to cope with millions of multimedia objects in near-realtime.
Proceedings ArticleDOI

A user study on image browsing on touchscreens

TL;DR: An alternative interface is proposed that takes advantage of 3D graphics and arranges images on a rotatable globe according to color similarity and is perceived as being fun to use and preferred over the standard browsing interface by 70% of the participants.
References
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Journal ArticleDOI

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Proceedings ArticleDOI

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TL;DR: The results suggest that participants found their digital photos much easier to manage than their non-digital ones, but that this advantage was almost entirely due to the simple browsing features of Shoebox.
BookDOI

The colour image processing handbook

TL;DR: In this article, the present state and the future of colour image processing are discussed, with a focus on image segmentation and edge detection, as well as the application of colour in the textile industry.
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