• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Enhanced VLAD


Recently, Vector of Locally Aggregated Descriptors (VLAD) has been proposed to index image by compact representations, which encodes powerful local descriptors and makes significant improvement on search performance with less memory compared against the state of art. However, its performance relies heavily on the size of the codebook which is used to generate VLAD representation. It indicates better accuracy needs higher dimensional representation. Thus, more memory overhead is needed. In this paper, we enhance VLAD image representation by using two level hierarchical-codebooks. It can provide more accurate search performance while keeping the VLAD size unchanged. In addition, hierarchical-codebooks are used to construct multiple inverted files for more accurate non-exhaustive search. Experimental results show that our method can make significant improvement on both VLAD image representation and non-exhaustive search.


Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.

Cite this article

[IEEE Style]
B. Wei, T. Guan, Y. Luo, L. Duan, J. Yu, "Enhanced VLAD," KSII Transactions on Internet and Information Systems, vol. 10, no. 7, pp. 3272-3285, 2016. DOI: 10.3837/tiis.2016.07.022.

[ACM Style]
Benchang Wei, Tao Guan, Yawei Luo, Liya Duan, and Junqing Yu. 2016. Enhanced VLAD. KSII Transactions on Internet and Information Systems, 10, 7, (2016), 3272-3285. DOI: 10.3837/tiis.2016.07.022.

[BibTeX Style]
@article{tiis:21163, title="Enhanced VLAD", author="Benchang Wei and Tao Guan and Yawei Luo and Liya Duan and Junqing Yu and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2016.07.022}, volume={10}, number={7}, year="2016", month={July}, pages={3272-3285}}