ANN based semantic Content Based Image Retrieval with distributed processing
Supriya Jalindar Karande, Vikas Balasaheb Maral · 2014
Content Based Image Retrieval (CBIR) has been one on the state of the art research area in the field of image processing since last decade. The bottleneck of present CBIR scheme is the existence of semantic gap between low level features and high level user semantic concepts about image. In state of the art articles methods has been proposed on reduction of semantic gap in CBIR. Semantic CBIR technique requires huge amount of computing power. In this paper we propose Artificial Neural Network (ANN) based distributed processing architecture for Semantic CBIR. Effectiveness of proposed mechanism in terms of precision is improved using learning through feedback during browsing results. Proposed distributed processing in this paper results into fast retrieval of images. Proposed system is evaluated over LAN and implementation results shows improvement in retrieval time and precision.