@misc{Abhishek,
abstract = {The ongoing MPEG standardization of Compact Descriptors for Visual Search (CDVS) focuses on image search for mobile applications and in that process, the extraction of local descriptors constitutes an important step. These local descriptors extracted from an image are further aggregated into global descriptors that are used for efficient retrieval of matching images from a database for a given query image. Current CDVS Test Model (TM) implements the global descriptor using the uncompressed Scale Invariant Feature Transform (SIFT) points. At the mobile devices, the global descriptor (GD) is computed as the quantized Fisher Vector of up to 300 SIFT points w.r.t a SIFT space Gaussian Mixture Model (GMM). It is noted that such an approach requires significant overhead in communication to transmit the global descriptor, especially at low bit rate. Hence, we propose an alternative and efficient way to re-construct the global descriptor from the local descriptors at the server side. The difference between the reconstructed GD and the original GD, are then selectively coded to strike a balance between bit rate cost and performance. The experiments on CDVS datasets shows around 0.5% increase in true positive rate and 1% decrease in false positive rate.},
author = {Nagar, Abhishek and Srivastava, Gaurav and Fernandes, Felix C A and Katsaggelos, Aggelos K},
doi = {10.1.1.460.7607},
title = {{A Novel Differential Coding Scheme for a Compact Image Descriptor with applications to Mobile Visual Search}},
url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.460.7607&rep=rep1&type=pdf},
year = {2014}
}

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