  Image annotation provides several keywords automatically for a given image
based on various tags to describe its contents which is useful in Image
retrieval. Various researchers are working on text based and content based
image annotations [7,9]. It is seen, in traditional Image annotation
approaches, annotation words are treated equally without considering the
importance of each word in real world. In context of this, in this work, images
are annotated with keywords based on their frequency count and word
correlation. Moreover this work proposes an approach to compute importance
score of candidate keywords, having same frequency count.
