Image Retrieval based on VA-File and Multi-Resolution BOW

Authors

Wang Lipin, Engineering Technology Research Center of Optoelectronic Technology Appliance, AnHui, ChinaFollow
Pu Juncheng, Istituto Europeo di Design, Huayuan xincun 127, Tongling City, Anhui Province, (244000), ChinaFollow

Author Country (or Countries)

China

Abstract

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.

Digital Object Identifier (DOI)

http://dx.doi.org/10.12785/amis/090152

Recommended Citation

Lipin, Wang and Juncheng, Pu (2015) "Image Retrieval based on VA-File and Multi-Resolution BOW," Applied Mathematics & Information Sciences: Vol. 09: Iss. 1, Article 59.
DOI: http://dx.doi.org/10.12785/amis/090152
Available at: https://digitalcommons.aaru.edu.jo/amis/vol09/iss1/59