Fisher Linear Discriminant Analysis for text-image combination in multimedia information retrieval

作者：

Highlights：

• We model text and image documents with bag-of-words approach.

• We Fisher LDA for learning weights assigned to each modality.

• We experiment our model on ImageCLEF datasets 2008 and 2009.

• Our model outperforms the use of the single textual modality.

• Our method provides a nearly optimal learning with an efficient computation.

摘要

Highlights•We model text and image documents with bag-of-words approach.•We Fisher LDA for learning weights assigned to each modality.•We experiment our model on ImageCLEF datasets 2008 and 2009.•Our model outperforms the use of the single textual modality.•Our method provides a nearly optimal learning with an efficient computation.

论文关键词：Multimedia information retrieval,Textual and visual information,Bag-of-words,Parameters learning,Fischer LDA

论文评审过程：Received 22 April 2012, Revised 18 March 2013, Accepted 2 June 2013, Available online 17 June 2013.

论文官网地址：https://doi.org/10.1016/j.patcog.2013.06.003