Abstract
In this paper, we describe an approach for image-based retrieval with a camera-phone. We begin by getting the features in salient region of images. Then we quantify each image to a vector using the clustering-based bag-of-words model and sparse matrix algorithm. Finally, the invert document algorithm is used for speeding up the real-time query. The result of experiment shows the high efficiency in precision, query time and memory.
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Yang, C., Yang, J., Feng, D. (2013). Magazine Image Retrieval with Camera-Phone. In: Gaol, F. (eds) Recent Progress in Data Engineering and Internet Technology. Lecture Notes in Electrical Engineering, vol 156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28807-4_9
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DOI: https://doi.org/10.1007/978-3-642-28807-4_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28806-7
Online ISBN: 978-3-642-28807-4
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