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Distribution Entropy Boosted VLAD for Image Retrieval
2016
Entropy
Several recent works have shown that aggregating local descriptors to generate global image representation results in great efficiency for retrieval and classification tasks. The most popular method following this approach is VLAD (Vector of Locally Aggregated Descriptors). We present a novel image presentation called Distribution Entropy Boosted VLAD (EVLAD), which extends the original vector of locally aggregated descriptors. The original VLAD adopts only residuals to depict the distribution
doi:10.3390/e18080311
fatcat:sih3ua4zfzhmtocfr3uipcob4u