A multi-scale learning approach for landmark recognition using mobile devices
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
kNN based image classification relying on local feature similarity
Proceedings of the Third International Conference on SImilarity Search and APplications
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Proceedings of the Fourth International Conference on SImilarity Search and APplications
CAPIRE: a context-aware points of interest REcognition system using a CBIR approach
FMN'10 Proceedings of the Third international conference on Future Multimedia Networking
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Expert Systems with Applications: An International Journal
Context-aware Discriminative Vocabulary Tree Learning for mobile landmark recognition
Digital Signal Processing
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The growing usage of mobile devices has led to proliferation of many mobile applications. A growing trend in mobile applications is centered on mobile landmark recognition. It is a new mobile application that recognizes a captured landmark using the mobile device and retrieves related information. This paper will present a survey on mobile landmark recognition for information retrieval. A general overview of existing mobile landmark recognition systems will be summarized. The techniques and algorithms used in the literatures, including content analysis of landmarks and classification methods for recognition, will be described.