Affiliations Dept. of Computer Science and Engineering, DKTE’s TEI, Ichalkaranji (An Autonomous Institute), 416115, India.
:10.22362/ijcert/2017/v4/i11/xxxx [UNDER PROCESS]
Now a day’s Flicker, Facebook is the popular social media websites. These sites are useful to the user to uploading their photos with free tags. There is need to develop a tag-based image search engine to find out the user-oriented images which are spread over the internet. The social re-ranking method is used for tag-based image search. The main goal is sorting the images according to their semantic information, social views and visual information. Each user uploads many images with different tags. The initial results are based on photos or images uploaded by different users. So first sort these images using the inter-user re-ranking method. Users that have higher uploaded images concerning the given query rank higher. Intra user re-ranking sorts these images based on ranked user set and find out related images from each user’s image set. The system gives better results using inverted index structure, visual feature, social views and semantic feature.
Snehal N. Paraj and Suresh K. Shirgave (2017). Survey on Tag Based Image Search. International Journal of Computer Engineering In Research Trends, 4(11), 529-532. Retrieved from http://ijcert.org/ems/ijcert_papers/V4I1111.pdf
Keywords : Social media, Tag based Image Search, Social views, Image Search, Re-ranking, Retrieval
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