c © World Scientic Publishing Company FACE ANNOTATION FOR FAMILY PHOTO

In this paper, we propose a framework to semi-automatically annotate faces in family photo albums. The core of the framework is the features used to dene face similarity and this results in the learning algorithm used to rene automatic face annotation. We have adopted similarity based search and relevance feedback ideas developed for content-based image retrieval and a set of simple yet eective color and texture based features, in addition to the traditional face recognition features, in performing candidate annotation search. The experimental evaluation of the proposed approach has been conducted with a family album of 1707 photos and the results show that the proposed approach is an eective and ecient one for semi-automatic family photo album annotation