Authors
Abstract
Human visual system can interpret and perceive images at different levels where colour, shape, texture and object detection are low level features interpreted well by healthy human visual system, in the same manner detected objects are perceived according to ontological approach.
This paper is devoted to present Content Based Image Retrieval system as continues efforts to bridging the semantic gap between semantic concepts and low level feature of images.
The proposal presented by this paper is focusing on investigating images for conceptual objects topology, by integrating knowledge of multiple Agents collaborated to abstract images into concepts.
Agents individually or collaboratively will promote low level image features to semantic concepts and these concepts will be subjected to certain ontology designed in specific domain to semantically index this image and later to be retrieved according to special query accommodating indexing strategy.
Keywords
)
