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LEGO-MM: LEarning Structured Model by Probabilistic loGic Ontology Tree for MultiMedia
2017
IEEE Transactions on Image Processing
Recent advances in Multimedia ontology have resulted in a number of concept models, e.g., LSCOM and Mediamill 101, which are accessible and public to other researchers. However, most current research effort still focuses on building new concepts from scratch, very few work explores the appropriate method to construct new concepts upon the existing models already in the warehouse. To address this issue, we propose a new framework in this paper, termed LEGO 1 -MM, which can seamlessly integrate
doi:10.1109/tip.2016.2612825
pmid:28113970
fatcat:sqfkjdpcgzeu3eyza74zt2o3se