Title :
Exploiting short query expansion for images retrieval
Author :
Ullah, Rooh ; Jaafar, J.
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. Teknol. PETRONAS, Tronoh, Malaysia
Abstract :
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.
Keywords :
image retrieval; knowledge based systems; ConceptNet knowledge base; LabelMe dataset; WordNet knowledge base; digital technology; gigantic image corpus; image retrieval; lexical ambiguity; semantic gap; short query expansion; Computers; Image resolution; Variable speed drives; ConceptNet; Query Expansion; Semantic gap; WordNet;
Conference_Titel :
Computer & Information Science (ICCIS), 2012 International Conference on
Conference_Location :
Kuala Lumpeu
Print_ISBN :
978-1-4673-1937-9
DOI :
10.1109/ICCISci.2012.6297268