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Image Retrieval based on VA-File and Multi-Resolution BOW |
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PP: 445-455 |
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Author(s) |
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Wang Lipin,
Pu Juncheng,
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Abstract |
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| By the virtue of BOF to describe high-dimensional data, in this article, we propose an effective retrieval strategy employing
multi-resolution BOF to accelerate the match. The main idea is to improve the overall retrieval efficiency of BOF Descriptive Vector
via the construction of BOF Low-resolution Vector and the comparison under low resolution to filter high-resolution candidate vectors.
Based on stratified construction, we have improved uniform quantization multi-resolution BOF and proposed a non-linear Non-uniform
quantization multi-resolution BOF method, which is combined with VA-file. At last, K-nearest neighbor retrieval algorithm is given.
Experiments prove that this method has effectively increased the retrieval efficiency, improved the I/O function when loading mass
image datasets and raised the system efficiency. |
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