Name
Title | ||
|---|---|---|
Image recommendation based on keyword relevance using absorbing Markov chain and image features. |
Abstract | ||
|---|---|---|
Image recommendation is an important feature of search engine, as tremendous amount of images are available online. It is necessary to retrieve relevant images to meet the user’s requirement. In this paper, we present an algorithm image recommendation with absorbing Markov chain (IRAbMC) to retrieve relevant images for a user’s input query. Images are ranked by calculating keyword relevance probability between annotated keywords from log and keywords of user input query. Keyword relevance is computed using absorbing Markov chain. Images are reranked using image visual features. Experimental results show that the IRAbMC algorithm outperforms Markovian semantic indexing (MSI) method with improved relevance score of retrieved ranked images. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s13735-016-0104-9 | IJMIR |
Keywords | Field | DocType |
Annotation-based image retrieval, Content-based image retrieval, Image annotation, Image recommendation | Markov process,Automatic image annotation,Information retrieval,Pattern recognition,Ranking,Computer science,Feature (computer vision),Search engine indexing,Image retrieval,Artificial intelligence,Absorbing Markov chain,Content-based image retrieval | Journal |
Volume | Issue | ISSN |
5 | 3 | 2192-662X |
Citations | PageRank | References |
3 | 0.45 | 28 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| D. Sejal | 1 | 4 | 1.83 |
| V. Rashmi | 2 | 3 | 0.45 |
| K. R. Venugopal | 3 | 267 | 48.80 |
| S.S. Iyengar | 4 | 2923 | 381.93 |
| L. M. Patnaik | 5 | 165 | 15.46 |