(Enter summary)
Abstract: Digital images and video clips are becoming
popular due to the increase in the availability of
consumer devices that capture digital images and video
clips. Digital content is also growing over the Internet.
The increase of the digital content creates a need for
user- friendly tools to browse through large volumes of
digital material. In this paper we present a clustering
based browsing algorithm. Images are automatically
clustered using a hierarchical clustering algorithm and
users can then... (Update)
Context of citations to this paper: More
...representation is a handy descriptor for the collection of similar images. Such a descriptor can be used for fast search [9] or browsing [10] of image databases. In video sequences, each shot consists of many frames that are very similar to each other in terms of their content...
...allows users to rapidly focus on relevant information. For example, clustering is extensively used in the areas of browsing and navigation[8]. Another benefit of clustering, which will be the focus of this paper, is its potential gain in retrieval performance over simple...
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BibTeX entry: (Update)
S. Krishnamachari, M. Abdel-Mottaleb, "Image Browsing Using Hierarchical Clustering", The 4th IEEE Symposium on Computers and Communications, Egypt, July 1999 . http://citeseer.ist.psu.edu/krishnamachari99image.html More
@misc{ krishnamachari99image,
author = "S. Krishnamachari and M. Abdel-Mottaleb",
title = "Image Browsing Using Hierarchical Clustering",
text = "S. Krishnamachari, M. Abdel-Mottaleb, Image Browsing Using Hierarchical
Clustering, The 4th IEEE Symposium on Computers and Communications, Egypt,
July 1999 .",
year = "1999",
url = "citeseer.ist.psu.edu/krishnamachari99image.html" }
Citations (may not include all citations):
805
Algorithms for Clustering Data (context) - Jain, Dubes - 1988
325
Color Indexing (context) - Swain, Ballard - 1991
113
NeTra: A Toolbox for Navigating Large Image Databases
- Ma, Manjunath - 1997
45
Video Parsing and Browsing Using Compressed Data (context) - Zhang, Chien et al. - 1995
13
Image retrieval based on color features: an evaluation study (context) - Zhang, Gong et al. - 1995
8
CONIVAS: CONtent-based image and video access system (context) - Abdel-Mottaleb, Dimitrova et al. - 1996
6
Video Content Management in Consumer Devices (context) - Dimitrova, McGee et al. - 1998
6
A Fully Automated Contentbased Image Query System (context) - Smith, Chang - 1996
4
Performance Evaluation of Clustering Algorithms for Scalable.. (context) - Abdel-Mottaleb, Krishnamachari et al. - 1998
1
A Scalable Algorithm for Image Retrieval by Color (context) - Krishnamachari, Abdel-Mottaleb - 1998
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