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Indexing in large scale image collections: Scaling properties and benchmark

Aly, Mohamed and Munich, Mario and Perona, Pietro (2011) Indexing in large scale image collections: Scaling properties and benchmark. In: 2011 IEEE Workshop on Applications of Computer Vision (WACV). IEEE , Piscataway, NJ, pp. 418-425. ISBN 978-1-4244-9497-2. https://resolver.caltech.edu/CaltechAUTHORS:20170306-165005240

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Abstract

Indexing quickly and accurately in a large collection of images has become an important problem with many applications. Given a query image, the goal is to retrieve matching images in the collection. We compare the structure and properties of seven different methods based on the two leading approaches: voting from matching of local descriptors vs. matching histograms of visual words, including some new methods. We derive theoretical estimates of how the memory and computational cost scale with the number of images in the database. We evaluate these properties empirically on four real-world datasets with different statistics. We discuss the pros and cons of the different methods and suggest promising directions for future research.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/WACV.2011.5711534DOIArticle
http://ieeexplore.ieee.org/document/5711534/PublisherArticle
ORCID:
AuthorORCID
Munich, Mario0000-0002-6665-7473
Perona, Pietro0000-0002-7583-5809
Additional Information:© 2011 IEEE. This research was supported by ONR grant N00173-09-C-4005.
Funders:
Funding AgencyGrant Number
Office of Naval Research (ONR)N00173-09-C-4005
Record Number:CaltechAUTHORS:20170306-165005240
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170306-165005240
Official Citation:M. Aly, M. Munich and P. Perona, "Indexing in large scale image collections: Scaling properties and benchmark," 2011 IEEE Workshop on Applications of Computer Vision (WACV), Kona, HI, 2011, pp. 418-425. doi: 10.1109/WACV.2011.5711534
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:74818
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:07 Mar 2017 16:06
Last Modified:03 Oct 2019 16:43

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