Abstract:
This paper confers the evolution of the various image retrieval techniques starting from Keyword based Image Retrieval (KBIR) to Ontology Based Image Retrieval. It addresses various outstanding issues in both past and present. The rapid advancement of image data demands continuing the research and development of Image Retrieval. The exploration in image retrieval has its basis in keyword based retrieval and then evolved to retrieval techniques employing content based low-semantic features approach is that the complete knowledge cannot be mapped and hence there exists some gaps known as semantic gaps. To overcome these gaps, currently, the researchers are interested in Knowledge based retrieval using Ontology. The focus is towards the semantic features because the key words are very subjective, time consuming to search and also the low level features are very tough to map into high level concepts in user minds.
Page(s):
1-16
DOI:
DOI not available
Published:
Journal: International Journal of Reviews in Computing, Volume: 12, Issue: 0, Year: 2012