Low bitrate coding schemes for local image descriptors
Efficient coding of local image descriptors is of paramount importance when they need to be transmitted to a remote destination on bandwidth constrained networks. This is a case that arises, e.g., in mobile visual search and visual wireless sensor networks. In this work we consider SURF, a popular d...
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Published in | 2012 IEEE 14th International Workshop on Multimedia Signal Processing pp. 124 - 129 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.09.2012
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Subjects | |
Online Access | Get full text |
ISBN | 9781467345705 1467345709 |
DOI | 10.1109/MMSP.2012.6343427 |
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Summary: | Efficient coding of local image descriptors is of paramount importance when they need to be transmitted to a remote destination on bandwidth constrained networks. This is a case that arises, e.g., in mobile visual search and visual wireless sensor networks. In this work we consider SURF, a popular descriptor suitable for low-complexity devices, and we provide a comparative study of lossy coding schemes operating at low bitrate (e.g., less than 128 bits / descriptor). Our investigation covers schemes that address both intra- and inter-descriptor redundancy, including methods that have not been tested before in this context, e.g., sparse coding, lifting-based coding on trees, and hybrid intra and inter-descriptor coding. The experimental evaluation is carried out on two publicly available datasets, in terms of both rate-distortion and rate-accuracy, for the specific task of object recognition. Our results show that a rate saving of 15-30% can be achieved by exploiting intra-descriptor redundancy. On the other side, addressing inter-descriptor redundancy does not lead to substantial gains when applied alone, whereas it leads to marginal gains (up to 3%) when used in hybrid schemes jointly with intra-descriptor coding. |
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ISBN: | 9781467345705 1467345709 |
DOI: | 10.1109/MMSP.2012.6343427 |