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Face annotation for personal photos has a number of potential applications in Multimedia Information Retrieval (MIR). We propose a novel face annotation method that systematically combines contextual information of photos with traditional Face Recognition (FR) technologies. To overcome the limitations of conventional FR-based annotation approaches, situation and person clustering methods are proposed based on context of personal photos. By relying on the proposed clustering methods, multipledoi:10.1145/1460096.1460106 dblp:conf/mir/ChoiYRP08 fatcat:szovdalwmnbinoqoenwifbxbyi