Name
Title | ||
|---|---|---|
A novel multi-modal integration and propagation model for cross-media information retrieval |
Abstract | ||
|---|---|---|
In this paper, we present a novel Probabilistic Latent Semantic Analysis-based (PLSA-based) aspect model and turn cross-media retrieval into two parts of multi-modal integration and correlation propagation. We first use multivariate Gaussian distributions to model continuous quantity in PLSA, avoiding information loss between feature-instance versus real-world matching. Multi-modal correlations are learned in an asymmetrical manner, giving a better control of the respective influence of each modality in the latent space. Then we propose a new propagation pattern to refine multi-modal correlations by efficiently taking the complementary from multi-modalities. Experimental results demonstrate that our method is accurate and robust for cross-media information retrieval. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-27355-1_78 | MMM |
Keywords | Field | DocType |
cross-media retrieval,novel multi-modal integration,better control,information loss,aspect model,cross-media information retrieval,correlation propagation,multi-modal integration,asymmetrical manner,new propagation pattern,multi-modal correlation,propagation model,propagation,multi modal,plsa | Divergence-from-randomness model,Information loss,Information retrieval,Pattern recognition,Computer science,Cross media,Multivariate normal distribution,Correlation,Artificial intelligence,Probabilistic latent semantic analysis,Modal,Machine learning | Conference |
Volume | ISSN | Citations |
7131 | 0302-9743 | 4 |
PageRank | References | Authors |
0.38 | 18 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wanxia Lin | 1 | 4 | 0.38 |
| tong lu | 2 | 372 | 67.17 |
| Feng Su | 3 | 170 | 18.63 |