Non-negative matrix factorization based relevance feedback algorithm in image retrieval

作者：Lu, Jin Jun; Yang, Jie^*; Liang, Dong; Chang, Yu Chou

来源：Journal of Shanghai Jiaotong University, 2005, 39(4): 578-581.

• Interactive retrieval
• Nonnegative matrix factorization
• Relevance feedback

A novel relevance feedback algorithm was presented based on non-negative matrix factorization (NMF) learning in content-based image retrieval system. During the retrieval process, users can mark images similar to the query image as positive samples. Then the algorithm constructs an NMF basic matrix with the eigen vectors of the positive samples, which can be used to increase the accurate ratio for the image retrieval. Experiments were carried out on a big size database consisting of 500 images. The results show that accurate ratio of image retrieval can be increased much after using interactive NMF feedback algorithm.

• 出版日期2005
• 单位上海交通大学