Two-tier image annotation model based on a multi-label classifier and fuzzy-knowledge representation scheme

作者：

Highlights：

• Multi-label classification and knowledge-based approach to image annotation.

• The definition of the fuzzy knowledge representation scheme based on FPN.

• Novel data-driven algorithms for automatic acquisition of fuzzy knowledge.

• Novel inference based algorithms for annotation refinement and scene recognition.

• A comparison of inference-based scene classification with an ordinary approach.

摘要

•Multi-label classification and knowledge-based approach to image annotation.•The definition of the fuzzy knowledge representation scheme based on FPN.•Novel data-driven algorithms for automatic acquisition of fuzzy knowledge.•Novel inference based algorithms for annotation refinement and scene recognition.•A comparison of inference-based scene classification with an ordinary approach.

论文关键词：Image annotation,Knowledge representation,Inference algorithms,Fuzzy Petri Net,Multi-label image classification

论文评审过程：Received 31 October 2014, Revised 31 August 2015, Accepted 22 October 2015, Available online 6 November 2015, Version of Record 24 December 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.10.017