Joint and individual matrix factorization hashing for large-scale cross-modal retrieval.

•A joint and individual matrix factorization hashing method is proposed to simultaneously learn unified and individual hash codes for multimodal data.•An effective optimization algorithm is put forward to solve the proposed method.•Extensive experimental results on three multimodal data sets highlight the superiority of the proposed method over state-of-the-art unsupervised multimodal hashing methods.