期刊名称：International Journal of Electronics, Communication and Soft Computing Science and Engineering
印刷版ISSN：2277-9477
出版年度：2015
卷号：4
期号：Special 2
出版社：IJECSCSE
摘要：In the routines of many users, they need to interact with applications that deal with information retrieval process. These applications always deal with the documents in the database. There is a software which interacts and responds with the top 'n' documents from the database. The expectations of the end users are that the application should retrieve the most relevant document in a very less time and provide accuracy. Even though the application is capable of retrieving the documents, there are some constraints that the application needs to deal with. Implementing the retrieving strategy is a challenging task. In this paper we have proposed a method for automatic annotation, indexing and annotation-based retrieval of images. The proposed method initially analyses the user's query and tries to recognize the relevance between the index structures that were produced for collecting the images. After analysing, the system returns the covet images to the end user with higher clarity and potency. This paper also provides a good survey on the various aspects of information retrieval model
