Semi-automatic photo clustering with distance metric learning
Dinghuang Ji, Meng Wang, Qi Tian, Xian‐Sheng Hua · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
Photo clustering has been widely explored in many applications such as album management. But automatic clustering can hardly achieve satisfying performance due to the large variety of photos' content. This paper proposes a semi-automatic photo clustering scheme that attempts to improve clustering performance with users' interactions. Users can adjust the results of automatic clustering, and a set of constraints among photos are generated accordingly. A distance metric is then learned with these constraints and we can re-implement clustering with this metric. We conduct experiments on different photo albums, and experimental results have demonstrated that our approach is able to improve automatic photo clustering results, and it is better than pure manual adjustment approach by exploring distance metric learning.