NDLI: Geometric discriminative features for aerial image retrieval in social media

Content Provider	Springer Nature Link
Author	Xia, Yingjie Chen, Jinlong Li, Jun Zhang, Ying
Copyright Year	2014
Abstract	The aerial image recognition is an important problem in multimedia information retrieval in social media. In this paper, we propose a new approach by integrating aerial image’s local features into a discriminative one which reflects both the geometric property and the color distribution of aerial image. Firstly, each aerial image is segmented into several regions in terms of their color intensities. And region connected graph (RCG), the links between the spatial neighboring regions, is presented to encode the spatial context of aerial images. Secondly, we mine frequent structures in the RCGs corresponding to training aerial images collected from social media. And a set of refined structures are selected among the frequent ones towards being more discriminative and less redundant. Finally, given a new aerial image, its sub-RCGs corresponding to all the refined structures are extracted and quantized into a discriminative feature for aerial image recognition. The experimental results validate the proposed method by providing a more accurate recognition result of the aerial images on different datasets from different social medias.
Starting Page	497
Ending Page	507
Page Count	11
File Format	PDF
ISSN	09424962
Journal	Multimedia Systems
Volume Number	22
Issue Number	4
e-ISSN	14321882
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-08-27
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Aerial image recognition Social media Geometric discriminative feature Feature selection Multimedia Information Systems Computer Communication Networks Operating Systems Data Storage Representation Data Encryption Computer Graphics
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Media Technology Hardware and Architecture Software

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