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- Title
A Novel Architecture for Personalized Image Retrieval from Social Websites.
- Authors
NagaLakshmi, Pujari; Rao, M. Kameswara; Mondal, Priyanka; Chandra, M. Sarath; Kiran, G. Sai
- Abstract
The social media photo sharing sites allows users to upload their photos, annotate them with tags, submit them to groups, and also to form social networks by adding other users as contacts. The site offers multiple ways of browsing or searching it. One option is tag search, which returns all images tagged with a specific keyword. If the keyword is ambiguous, e.g. jaguar could mean an animal or a car, tag search results will include many images that are not relevant to the sense the user had in mind when executing the query. This paper describes an approach to personalized image indexing and retrieval. To tackle the issue of subjectivity in Content-Based Image Retrieval (CBIR), users can extend their own tag vocabulary and make the system learn it. This tag extension concept demonstrates that content based image search can be efficiently adapted to user interests and matches personalized image retrieval.
- Subjects
CONTENT-based image retrieval; IMAGE retrieval; DIGITAL image processing; WEBSITES; SOCIAL media
- Publication
International Journal of Advanced Research in Computer Science, 2013, Vol 4, Issue 2, p369
- ISSN
0976-5697
- Publication type
Article