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Communication Dans Un Congrès Année : 2014

A multi-layer approach for camera-based complex map image retrieval and spotting system

Résumé

In this paper, we present a method of camera-based document image retrieval for heterogeneous-content documents using different types of features from different layers of information. We use two kinds of features in this paper (Locally Likely Arrangement Hashing - LLAH - and SIFT reduced dimensions using PCA). Then, a single hash table method is used for indexing these multiple kinds of feature vectors. In addition, we employ a technique for reducing the memory required for indexing the key points in hash table. Experimental results show that the multilayer hashing gives a high accuracy and outperforms classical methods on single layer.
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Dates et versions

hal-01247981 , version 1 (23-12-2015)

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Quoc Bao Dang, Muhammad Muzzamil Luqman, Mickaël Coustaty, Nibal Nayef, De Cao Tran, et al.. A multi-layer approach for camera-based complex map image retrieval and spotting system. Image Processing Theory, Tools and Applications (IPTA), 2014 4th International Conference on , Oct 2014, Paris, France. pp.1-6, ⟨10.1109/IPTA.2014.7001968⟩. ⟨hal-01247981⟩

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