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.
Original language | English |
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Title of host publication | Advances in Multimedia Modeling |
Subtitle of host publication | 19th International Conference, MMM 2013, Proceedings |
Editors | Shipeng Li, Abdulmotaleb El Saddik, Meng Wang, Tao Mei, Nicu Sebe, Shuicheng Yan, Richang Hong, Cathal Gurrin |
Publisher | Springer |
Pages | 36-46 |
Number of pages | 11 |
Edition | 1 |
ISBN (Electronic) | 9783642357282 |
ISBN (Print) | 9783642357275 |
DOIs | |
Publication status | Published - 7 Jan 2013 |
Externally published | Yes |
Event | 19th International Conference on Advances in Multimedia Modeling - Huangshan, China Duration: 7 Jan 2013 → 9 Jan 2013 Conference number: 19 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Number | PART 2 |
Volume | 7733 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 19th International Conference on Advances in Multimedia Modeling |
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Abbreviated title | MMM 2013 |
Country/Territory | China |
City | Huangshan |
Period | 7/01/13 → 9/01/13 |