Generation of caption selection for news images using stemming algorithm

Author

Vijay, K. ; Ramya, D.

Author_Institution

Dept. of Information Technology, Faculty of Computing, Sathyabama University, Chennai-600 119, Tamil Nadu, India

fYear

2015

fDate

22-23 April 2015

Abstract

Image based search engine is the process of searching information by using related images. The huge resources of images are available on the web, In that many of the images are contain as with labeled and without labeled caption. The users are required to search the images depending on their needs. In that many of the users are unable to retrieve the relevant images because of their unpredicted suitable caption on their images. Our task is to generate an automatic caption for the images based on the related information. Earlier, the manual captioning model is available to generate a description for the pictures. It is difficult and expensive task. The proposed model learns to create a caption for the images that are embedded with the related news articles. Which is most related to the image based applications. This process makes the easy understanding of news by seeing the images with caption and without reading the whole content of the news in the news articles.

Keywords

Algorithm design and analysis; Europe; Image segmentation; Machine learning algorithms; Manuals; Prediction algorithms; Servers; Caption Generation; Content Selection; Image Annotation Model; Image Description; Topic Summarization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computation of Power, Energy Information and Commuincation (ICCPEIC), 2015 International Conference on

Conference_Location

Melmaruvathur, Chennai, India

Print_ISBN

978-1-4673-6524-6

Type

conf

DOI

10.1109/ICCPEIC.2015.7259513

Filename

7259513