TY  - CONF
N2  - With the tremendous revolutions in the digital technology and ease of use in the results large volumes of images generated. In such types gigantic image corpus it is hardly to find the relevant images. Different researchers have defined techniques to retrieve images with high accuracy but still not cope in the semantic gap and lexical ambiguity. This paper focused on short query expansion i.e. expands user query with ConceptNet and WordNet knowledge bases. It retrieved the images, even if they are labeled with different words. The experiments showed the performance of this proposed algorithm, that retrieves images effectively and efficiently from LabelMe dataset. © 2012 IEEE.
N1  - cited By 2; Conference of 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93334
KW  - ConceptNet; Data sets; Digital technologies; Ease-of-use; Knowledge basis; Lexical ambiguity; Query expansion; Semantic gap; User query; Wordnet
KW  -  Information science; Ontology; Semantics; Technology
KW  -  Expansion
ID  - scholars2797
SP  - 352
TI  - Exploiting short query expansion for images retrieval
CY  - Kuala Lumpur
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867912451&doi=10.1109%2fICCISci.2012.6297268&partnerID=40&md5=9c966be868e08c3c56939b1f315fecae
A1  - Ullah, R.
A1  - Jaafar, J.
VL  - 1
EP  - 356
Y1  - 2012///
SN  - 9781467319386
ER  -