Proceedings ArticleDOI
A Survey on Mobile Landmark Recognition for Information Retrieval
Tao Chen,Kui Wu,Kim-Hui Yap,Zhen Li,Flora S. Tsai +4 more
- pp 625-630
TLDR
A survey on mobile landmark recognition for information retrieval and techniques and algorithms used in the literatures, including content analysis of landmarks and classification methods for recognition, will be presented.Abstract:Â
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.read more
Citations
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Journal ArticleDOI
Landmark recognition with compact BoW histogram and ensemble ELM
Jiuwen Cao,Tao Chen,Jiayuan Fan +2 more
TL;DR: A landmark recognition framework is proposed by employing a novel discriminative feature selection method and the improved extreme learning machine (ELM) algorithm to generate a set of preliminary codewords for landmark images.
Journal ArticleDOI
Landmark recognition with sparse representation classification and extreme learning machine
Jiuwen Cao,Yanfei Zhao,Xiaoping Lai,Marcus Eng Hock Ong,Marcus Eng Hock Ong,Chun Yin,Zhi Xiong Koh,Nan Liu,Nan Liu +8 more
TL;DR: A novel landmark recognition algorithm using the spatial pyramid kernel based bag-of-words (SPK-BoW) histogram approach with the feedforward artificial neural networks (FNN) and the sparse representation classifier (SRC) is proposed.
Landmark recognition with sparse representationclassification and extreme learning machine
TL;DR: In this paper, a novel landmark recognition algorithm using the spatial pyramid kernel based bag-of-words (SPK-BoW) histogram approach with the feedforward artificial neural networks (FNN) and the sparse representation classifier (SRC) was proposed.
Proceedings ArticleDOI
kNN based image classification relying on local feature similarity
Giuseppe Amato,Fabrizio Falchi +1 more
TL;DR: A novel image classification approach, derived from the kNN classification strategy, that is particularly suited to be used when classifying images described by local features, based on the possibility of performing similarity search between image local features is proposed.
Proceedings ArticleDOI
Fast online learning algorithm for landmark recognition based on BoW framework
Jiuwen Cao,Tao Chen,Jiayuan Fan +2 more
TL;DR: A fast online sequential learning framework based on the recent extreme learning machine (ELM) which can update the classifier by learning the new images one- by-one or chunk-by-chunk is developed for the landmark recognition.
References
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A performance evaluation of local descriptors
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