A Framework for Semantic based Image Retrieval from Cyberspace by mapping low level features with high level semantics.

摘要

Today, the development is going fast towards data analysis in every field of research. It makes image retrieval system a hot topic regarding the design and implementation of CBIR. The previous research has been focused on image-size based approaches that methods are not intelligent or convenient for accurate retrieval of image from the cyberspace. In order to retrieve an accurate and desired image from a large-scale image database of cyberspace in less time-consumption, we propose an algorithm based on the low level feature and high level semantics of image in this paper. We present a framework, that extract low level features of the image. Its goal is to explicitly extract the basic information content of the image as far as possible. Local statistics of the image function is captured for extracting the LLF. For extracting the features of the image, a framework has been proposed and advance algorithm has been used to achieve the desired goal.