A Multimodal and Multilevel Ranking Scheme for Large-Scale Video Retrieval

@article{Hoi2008AMA,
  title={A Multimodal and Multilevel Ranking Scheme for Large-Scale Video Retrieval},
  author={Steven C. H. Hoi and Michael R. Lyu},
  journal={IEEE Transactions on Multimedia},
  year={2008},
  volume={10},
  pages={607-619}
}
A critical issue of large-scale multimedia retrieval is how to develop an effective framework for ranking the search results. This problem is particularly challenging for content-based video retrieval due to some issues such as short text queries, insufficient sample learning, fusion of multimodal contents, and large-scale learning with huge media data. In this paper, we propose a novel multimodal and multilevel (MMML) ranking framework to attack the challenging ranking problem of content-based… CONTINUE READING
Highly Cited
This paper has 36 citations. REVIEW CITATIONS
28 Citations
42 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 28 extracted citations

Similar Papers

Loading similar papers…