Automatic Person Annotation of Family Photo Album

Digital photographs are replacing tradition films in our daily life and the quantity is exploding. This stimulates the strong need for efficient management tools, in which the annotation of "who" in each photo is essential. In this paper, we propose an automated method to annotate family photos using evidence from face, body and context information. Face recognition is the first consideration. However, its performance is limited by the uncontrolled condition of family photos. In family album, the same groups of people tend to appear in similar events, in which they tend to wear the same clothes within a short time duration and in nearby places. We could make use of social context information and body information to estimate the probability of the persons' presence and identify other examples of the same recognized persons. In our approach, we first use social context information to cluster photos into events. Within each event, the body information is clustered, and then...

• Type: Conference
• Year: 2006
• Where: CIVR
• Authors: Ming Zhao 0003, Yong Teo, Siliang Liu, Tat-Seng Chua, Ramesh Jain
• Keywords: CIVR 2006, Context Information, Face Recognition, Image Analysis, Social Context Information