Online web mining process with ranking system using XSM classifer model

  S.Thivya Lakshmi,  C.G.Anupama

The capability of annotating pictures by computers can lead to breakthroughs in a wide range of applications, including Web image search, online picture-sharing communities, and scientific experiments .image retrieval work is the first technique to achieve real-time performance with a level of accuracy useful in certain real applications. It is also the first attempt to manually assess the large-scale performance of an image annotation system .It is a particular case of information retrieval. It adds more complex mechanisms to relevance image retrieval: visual content analysis and/or additional textual content. The image auto annotation is a technique that associates text to image, and permits to retrieve image documents as textual documents, thus as in information retrieval. The image auto annotation is then an effective technology for improving the image retrieval. In implementing all the conceptual information provided and in addition, we are trying to integrate the ranking features. So that an automatic ranking on the images will be done based on the meta data features of an image .In addition, the user will be provided an option of ranking the site manually.

Keywords- Annotation; Indexing ; Image Retrieval by the content.

Unique Identification Number - IJEDRCP1403006
Page Number(s) - 23-26
Pubished in - Volume 2 | Issue NCETSE Conference | March 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  S.Thivya Lakshmi,  C.G.Anupama,   "Online web mining process with ranking system using XSM classifer model", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue NCETSE Conference, pp.23-26, March 2014, Available at :http://www.ijedr.org/papers/IJEDRCP1403006.pdf