<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/C81E0265-7DD9-4C2A-AED2-5031AB23F32D"><efrbr-work:titleOfTheWork>Efficient retrieval by shape content</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/C81E0265-7DD9-4C2A-AED2-5031AB23F32D"><efrbr-expression:titleOfTheExpression>Efficient retrieval by shape content</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Αφίσα σε Συνέδριο
            Conference Poster
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2015-11-01</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">1999</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>We propose an approach for image similarity retrieval based on shape information. The heart of our methodology is a a dynamic programming shape matching algorithm which detects similarities between shapes at various levels of shape detail (resolution). Our method provides for indexing of a data set, achieving up to three orders of magnitude speed-up over sequential scanning. We illustrate the application of our method to real two-dimensional static hand gesture data. We also demonstrate the superiority of our approach over traditional methods of shape matching and retrieval, such as Fourier descriptors, geometric and sequential moments.</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="page range">616 - 621</efrbr-expression:note><efrbr-expression:note type="conference name">IEEE Multimedia Systems 1999</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="http://users.isc.tuc.gr/~epetrakis"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Petrakis Evripidis
            Πετρακης Ευριπιδης
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            Evangelos Milios
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            Institute of Electrical and Electronics Engineers
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