Scalable multi-label canonical correlation analysis for cross-modal retrieval

•We develop a novel framework that can integrate the feature correlation and semantic correlation to boost retrieval performance.•A semantic transformation is developed to effectively approximate the label similarity matrix.•We propose an efficient learning algorithm which has linear time complexity in terms of the number of samples.