With the development of the big data and social network,electronic albums and online services have become basic uses of computers and the Internet.Especially in recent years,the number of electronic albums has exploded with the popularity of social network.So how to improve the user experience of music album becomes particularly important.A photo album with certain topic usually has some emotion information.This paper studies the problem of automatic generation of family music album based on multi-modal fusion,so that users can enjoy music when browsing album photos with matched emotion.According to the emotions in music and images,the representative sentence-level features both for music and images are selected,and the LPP (Locality Preserving Projection) is employed to study the relevance between the music and the images in the same emotion.The image feature and the music feature are mapped into the latent space with more emotional classification ability to realize the automatic generation of music album.In the experiments,the objective evaluation result shows that the LPP method is higher than pure CCA (Canonical Correlation Analysis) method in precision;and in the subjective evaluation,the proposed LPP method achieves 72.06% at satisfaction level,which is close to the results of manually recommended approach (78.09%) and is higher than the results of randomly recommended approach and pure CCA approach.