The personal photo retrieval task at ImageCLEF 2012 is a pilot task for testing QBE-based retrieval scenarios in the scope of personal informa- tion retrieval. This pilot task is organized as two subtasks: the visual concepts retrieval and the events retrieval. In this paper, we develop a framework of combining different visual features, EXIF data and similarity measures based on two clustering methods to retrieve the relevant images having similar visual concepts. We first analyze and select the effective visual features including color, shape, texture, and descriptor to be the basic elements of recognition. A flexible similarity measure is then given to achieve high precise image retrieval automatically. The experimental results show that the proposed framework can provide good effectiveness in distinct measures of evaluation.
['Chia-Wei Ku', 'Been-Chian Chien', 'Guan-Bin Chen', 'Li-Ji Gaou', 'Rong-Sing Huang', 'Siao-En Wang']
KIDS Lab at ImageCLEF 2012 Personal Photo Retrieval