TY - JFULL AU - Hui Hui Wang and Dzulkifli Mohamad and N.A Ismail PY - 2009/1/ TI - Image Retrieval: Techniques, Challenge, and Trend T2 - International Journal of Computer and Information Engineering SP - 2907 EP - 2910 VL - 3 SN - 1307-6892 UR - https://publications.waset.org/pdf/6291 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 36, 2009 N2 - This paper attempts to discuss the evolution of the retrieval techniques focusing on development, challenges and trends of the image retrieval. It highlights both the already addressed and outstanding issues. The explosive growth of image data leads to the need of research and development of Image Retrieval. However, 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. ER -