Building a Large Scale Test Collection for Effective Benchmarking of Mobile Landmark Search

Publication Type

Conference Proceeding Article

Publication Date

1-2013

Abstract

Studying and analyzing system performance is one of the fundamental factors for the related technological advancement in image retrieval. In this paper, we report the construction of a large scale test collection for facilitating robust performance evaluation of mobile landmark image search. Totally, the test collection consists of (1) 355,141 images about 128 landmarks in five cities over 3 continents from Flickr; (2) different kinds of textual features for each image, including surrounding text (e.g. tags), contextual data (e.g. geo-location and upload time), and metadata (e.g. uploader and EXIF); and (3) six types of low-level visual features. For the task of landmark image retrieval evaluation, we also conduct a series of baseline experimental studies on the search performance over different visual queries, which represent different views of a landmark.

Discipline

Databases and Information Systems

Publication

Advances in Multimedia Modeling: 19th International Conference, MMM 2013, Huangshan, China, January 7-9, 2013, Proceedings, Part II

Volume

7733

First Page

36

Last Page

46

ISBN

9783642357282

Identifier

10.1007/978-3-642-35728-2_4

Publisher

Springer Verlag

City or Country

Huangshan, China

Additional URL

http://dx.doi.org/10.1007/978-3-642-35728-2_4

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