This paper attempts to discuss the evolution of semantic based image retrieval. The explosive growth of image data
leads to the need of research and development of Image retrieval. Image retrieval researches are moving from keyword,
to low level features and to semantic features. Drive towards semantic features is due to the problem of the keywords
which can be very subjective and time consuming while low level features cannot always describe high level concepts in
the users' mind. Framework of semantic based image retrieval as well as the processes involved has been discussed.
This paper also highlights both the already addressed and outstanding issues.© (2010) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.