Towards a multimodality ontology image retrieval
Ontology based retrieval is gaining popularity due to the limitation posed by the conventional bag-of-words retrieval system. To semantically search for images, textual descriptions are usually used since low level features provide little meaningful information. As such conventional searching and re...
Main Authors: | M. Khalid, Yanti Idaya Aspura, Noah, Shahrul Azman, Sheikh Abdullah, Siti Norulhuda |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer Berlin Heidelberg
2011
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/30412/ http://irep.iium.edu.my/30412/ http://irep.iium.edu.my/30412/ http://irep.iium.edu.my/30412/1/chp%253A10.1007%252F978-3-642-25200-6_36.pdf |
Similar Items
-
Integrating DBpedia in multi-modality ontology news image retrieval
by: M. Khalid, Yanti Idaya Aspura, et al.
Published: (2010) -
A framework for integrating DBpedia in a multi-modality ontology news image retrieval system
by: M. Khalid, Yanti Idaya Aspura, et al.
Published: (2011) -
A framework for integrating DBpedia into a multi-modality ontology image retrieval
by: M. Khalid, Yanti Idaya Aspura, et al.
Published: (2013) -
Searching and retrieving digital images
by: Idris, Safura, et al.
Published: (2011) -
Semantic gap between content-based and concept-based image retrieval system
by: Othman, Roslina
Published: (2011)