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2014 IEEE International Conference on Multimedia and Expo (ICME) (2014)
Chengdu, China
July 14, 2014 to July 18, 2014
ISBN: 978-1-4799-4761-4
pp: 1-6
Shuai Liao , Multimedia Computing Lab, Renmin University of China, Beijing 100872, China
Xirong Li , Multimedia Computing Lab, Renmin University of China, Beijing 100872, China
Xiaoxu Wang , Multimedia Computing Lab, Renmin University of China, Beijing 100872, China
Xiaoyong Du , Multimedia Computing Lab, Renmin University of China, Beijing 100872, China
ABSTRACT
Given the proliferation of geo-tagged images, geo-aware image classification is an emerging topic. To derive a better image representation, tag features which represents an image as a histogram of tags are recently introduced. However, it is unclear whether geo tags can improve the tag features. To resolve the uncertainty, this paper studies geo-aware tag features. Our work is based on previous work which builds tag features by propagating tags from visual neighbors retrieved from many user-tagged images. What is different is that we build tag features by tag propagation from the union of visual and geo neighbors. This simple modification makes the new tag feature both content-aware and geo-aware. Using 1M Flickr images as a source set to construct the tag feature, experiments on the public NUS-WIDE set justify our proposal. The geo-aware tag feature outperforms the previous tag feature and a standard bag of visual words feature. Our geo-aware image classification system beats a recent alternative. For its simplicity and effectiveness, we consider the proposed tag feature promising for geo-aware image classification.
INDEX TERMS
Visualization, Buildings, Feature extraction, Semantics, Training, Standards, Software,geo-aware tag features, Image classification, geo tags
CITATION
Shuai Liao, Xirong Li, Xiaoxu Wang, Xiaoyong Du, "Building geo-aware tag features for image classification", 2014 IEEE International Conference on Multimedia and Expo (ICME), vol. 00, no. , pp. 1-6, 2014, doi:10.1109/ICME.2014.6890307
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