<mets:mets OBJID="oai:doras.dcu.ie:16705" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:mods="http://www.loc.gov/mods/v3" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-0.xsd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mets="http://www.loc.gov/METS/"><mets:metsHdr CREATEDATA="2017-11-05T20:35:57Z"><mets:agent TYPE="ORGANIZATION" ROLE="CUSTODIAN"><mets:name>DORAS</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_oai:doras.dcu.ie:16705_mods"><mets:mdWrap MDTYPE="mods"><mets:xmlData><mods:titleInfo><mods:title>Efficient storage and decoding of SURF feature points</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">Kevin</mods:namePart><mods:namePart type="family">McGuinness</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">Kealan</mods:namePart><mods:namePart type="family">McCusker</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">Neil</mods:namePart><mods:namePart type="family">O'Hare</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">Noel E.</mods:namePart><mods:namePart type="family">O'Connor</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>Practical use of SURF feature points in large-scale indexing and retrieval engines requires an efficient means for storing and decoding these features. This paper investigates several methods for compression and storage of SURF feature points, considering both storage consumption and disk-read efficiency. We compare each scheme with a baseline plain-text encoding scheme as used by many existing SURF implementations. Our final proposed scheme significantly reduces both the time required to load and decode feature points, and the space required to store them on disk.</mods:abstract><mods:classification authority="lcc">Information storage and retrieval systems</mods:classification><mods:classification authority="lcc">Multimedia systems</mods:classification><mods:classification authority="lcc">Image processing</mods:classification><mods:classification authority="lcc">Information retrieval</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2012-01-04</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Springer</mods:publisher></mods:originInfo><mods:genre>Conference or Workshop Item</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_oai:doras.dcu.ie:16705"><mets:rightsMD ID="rights_oai:doras.dcu.ie:16705_mods"><mets:mdWrap MDTYPE="mods"><mets:xmlData><mods:useAndReproduction>

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