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A Multimedia Semantic Retrieval Mobile System Based on HCFGs
Jan.-Mar. 2014 (vol. 21 no. 1)
pp. 36-46
Yimin Yang, Florida International University
Hsin-Yu Ha, Florida International University
Fausto C. Fleites, Florida International University
Shu-Ching Chen, Florida International University
A multimedia semantic retrieval system based on hidden coherent feature groups (HCFGs) can support multimedia semantic retrieval on mobile applications. The system can capture the correlation between features and partition the original feature set into HCFGs, which have strong intragroup correlation while maintaining low intercorrelation. The authors present a novel, multimodel fusion scheme to effectively fuse the multimodel results and generate the final ranked retrieval results. In addition, to incorporate user interaction for effective retrieval, the proposed system also features a user feedback mechanism that helps refine the retrieval results.
Index Terms:
Information retrieval,Multimedia communication,Feature extraction,Semantics,Hidden Markov models,Mobile computing,Mobile communication,HCFGs,multimedia,multimedia semantic retrieval,correlation,affinity propagation,multimodel fusion,mobile applications,multimedia data management,mobile computing,hidden coherent feature groups
Citation:
Yimin Yang, Hsin-Yu Ha, Fausto C. Fleites, Shu-Ching Chen, "A Multimedia Semantic Retrieval Mobile System Based on HCFGs," IEEE Multimedia, vol. 21, no. 1, pp. 36-46, Jan.-Mar. 2014, doi:10.1109/MMUL.2013.33
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