Articolul precedent |
Articolul urmator |
![]() |
![]() ![]() |
Ultima descărcare din IBN: 2022-11-03 13:03 |
![]() BEJINARIU, Silviu-Ioan, COSTIN, Mihaela, CIOBANU, Adrian, COJOCARU, Svetlana. Similarities Identification in Logo Images. In: International Conference on Intelligent Information Systems, 22-23 august 2013, Chișinău. Chișinău: "VALINEX" SRL, 2013, pp. 53-59. |
EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
International Conference on Intelligent Information Systems 2013 | ||||||
Conferința "International Conference on Intelligent Information Systems" Chișinău, Moldova, 22-23 august 2013 | ||||||
|
||||||
Pag. 53-59 | ||||||
|
||||||
![]() |
||||||
Rezumat | ||||||
Automatic trademarks identification is important in order to easily highlight possible resemblance or dissimilarity in design. The paper proposes a new method for fast identification of similarities in logo images. As a measure of similarity we used the number of matching keypoints. The keypoints are selected using the SIFT algorithm. It presents scale and rotation invariant features used to robustly describe digital images. The proposed method was validated using an image database prepared by authors. |
||||||
Cuvinte-cheie image database, invariant features, SIFT algorithm, similarity identification, trademarks |
||||||
|
DataCite XML Export
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns='http://datacite.org/schema/kernel-3' xsi:schemaLocation='http://datacite.org/schema/kernel-3 http://schema.datacite.org/meta/kernel-3/metadata.xsd'> <creators> <creator> <creatorName>Bejinariu, S.</creatorName> <affiliation>Institute for Computer Science, Romanian Academy, Iasi Branch, România</affiliation> </creator> <creator> <creatorName>Costin, M.</creatorName> <affiliation>Institute for Computer Science, Romanian Academy, Iasi Branch, România</affiliation> </creator> <creator> <creatorName>Ciobanu, A.</creatorName> <affiliation>Institute for Computer Science, Romanian Academy, Iasi Branch, România</affiliation> </creator> <creator> <creatorName>Cojocaru, S.C.</creatorName> <affiliation>Institutul de Matematică şi Informatică al AŞM, Moldova, Republica</affiliation> </creator> </creators> <titles> <title xml:lang='en'>Similarities Identification in Logo Images</title> </titles> <publisher>Instrumentul Bibliometric National</publisher> <publicationYear>2013</publicationYear> <relatedIdentifier relatedIdentifierType='ISBN' relationType='IsPartOf'></relatedIdentifier> <subjects> <subject>image database</subject> <subject>invariant features</subject> <subject>SIFT algorithm</subject> <subject>trademarks</subject> <subject>similarity identification</subject> </subjects> <dates> <date dateType='Issued'>2013</date> </dates> <resourceType resourceTypeGeneral='Text'>Conference Paper</resourceType> <descriptions> <description xml:lang='en' descriptionType='Abstract'><p>Automatic trademarks identification is important in order to easily highlight possible resemblance or dissimilarity in design. The paper proposes a new method for fast identification of similarities in logo images. As a measure of similarity we used the number of matching keypoints. The keypoints are selected using the SIFT algorithm. It presents scale and rotation invariant features used to robustly describe digital images. The proposed method was validated using an image database prepared by authors.</p></description> </descriptions> <formats> <format>application/pdf</format> </formats> </resource>