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Towards automated large scale discovery of image families

Aly, Mohamed and Welinder, Peter and Munich, Mario and Perona, Pietro (2009) Towards automated large scale discovery of image families. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol.1-2. IEEE , Piscataway, NJ, pp. 9-16. ISBN 9781424439942.

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Gathering large collections of images is quite easy nowadays with the advent of image sharing Web sites, such as However, such collections inevitably contain duplicates and highly similar images, what we refer to as image families. Automatic discovery and cataloguing of such similar images in large collections is important for many applications, e.g. image search, image collection visualization, and research purposes among others. In this work, we investigate this problem by thoroughly comparing two broad approaches for measuring image similarity: global vs. local features. We assess their performance as the image collection scales up to over 11,000 images with over 6,300 families. We present our results on three datasets with different statistics, including two new challenging datasets. Moreover, we present a new algorithm to automatically determine the number of families in the collection with promising results.

Item Type:Book Section
Related URLs:
URLURL TypeDescription DOIArticle
Munich, Mario0000-0002-6665-7473
Perona, Pietro0000-0002-7583-5809
Additional Information:© 2009 IEEE.
Subject Keywords:image similarity measurement, image family, image sharing Web sites, automatic image discovery, image cataloguing, image search, image collection visualization
Record Number:CaltechAUTHORS:20100506-074558223
Persistent URL:
Official Citation:Aly, M.; Welinder, P.; Munich, M.; Perona, P.; , "Towards automated large scale discovery of image families," Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on , vol., no., pp.9-16, 20-25 June 2009 doi: 10.1109/CVPRW.2009.5204177
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:18154
Deposited By: Ruth Sustaita
Deposited On:18 May 2010 16:37
Last Modified:03 Oct 2019 01:38

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