Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/4070
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tsapatsoulis, Nicolas | en |
dc.contributor.author | Petridis, Sergios | en |
dc.contributor.author | Perantonis, Stavros J. | en |
dc.contributor.other | Τσαπατσούλης, Νικόλας | - |
dc.date.accessioned | 2009-05-27T10:17:36Z | en |
dc.date.accessioned | 2013-05-17T10:11:30Z | - |
dc.date.accessioned | 2015-12-09T11:18:51Z | - |
dc.date.available | 2009-05-27T10:17:36Z | en |
dc.date.available | 2013-05-17T10:11:30Z | - |
dc.date.available | 2015-12-09T11:18:51Z | - |
dc.date.issued | 2007 | en |
dc.identifier.citation | Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007, pp.347-356 | en |
dc.identifier.isbn | 9780387741604 | en |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/4070 | - |
dc.description.abstract | Image classification is addressed in this paper by utilizing spatial relation of detected objects in a rule-based fashion. Instances of particular object classes are detected combining bottom-up (learn-able models based on simple features) and top-down information(object models consisting of primitive geometric shapes such as lines). The rule-based system acts as a model for the spatial configuration of objects, also providing a human interpretable justification of image classification. Experimental results in the athletic domain show that despite inefficiencies in object detection, spatial relations allow for efficient discrimination between visually similar images classes. | en |
dc.format | en | |
dc.language.iso | en | en |
dc.relation.ispartofseries | IFIP International Federation for Information Processing; | en |
dc.rights | © Springer | en |
dc.subject | Image classification | en |
dc.subject | Object detection | - |
dc.subject | Spatial realations | - |
dc.title | On the use of spatial relations between objects for image classification | en |
dc.type | Book Chapter | en |
dc.collaboration | Athens Information Technology | - |
dc.subject.category | Arts | - |
dc.country | Greece | - |
dc.subject.field | Humanities | - |
dc.identifier.doi | 10.1007/978-0-387-74161-1_38 | en |
dc.dept.handle | 123456789/54 | en |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_3248 | - |
item.cerifentitytype | Publications | - |
item.openairetype | bookPart | - |
crisitem.author.dept | Department of Communication and Marketing | - |
crisitem.author.faculty | Faculty of Communication and Media Studies | - |
crisitem.author.orcid | 0000-0002-6739-8602 | - |
crisitem.author.parentorg | Faculty of Communication and Media Studies | - |
Appears in Collections: | Κεφάλαια βιβλίων/Book chapters |
CORE Recommender
SCOPUSTM
Citations
50
2
checked on Nov 8, 2023
Page view(s) 50
538
Last Week
1
1
Last month
31
31
checked on Mar 13, 2025
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.