Automatic image–text alignment for large-scale web image indexing and retrieval

作者：

Highlights：

• An image–text alignment algorithm was developed for web image indexing and retrieval.

• Image clustering was used to better align the semantics of the Web image and text.

• A phrase-correlation network was constructed to characterize their relationship.

• Random walk was performed to achieve more precise image–text alignment.

摘要

Highlights•An image–text alignment algorithm was developed for web image indexing and retrieval.•Image clustering was used to better align the semantics of the Web image and text.•A phrase-correlation network was constructed to characterize their relationship.•Random walk was performed to achieve more precise image–text alignment.

论文关键词：Automatic image–text alignment,Web image indexing and retrieval,Relevance re-ranking,Random walk,Phrase-correlation network

论文评审过程：Received 9 May 2013, Revised 7 June 2014, Accepted 2 July 2014, Available online 9 July 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.07.001