Using the Social Networking Graph for Image Organization

The process of record-keeping and maintenance of digital photographs is an emerging concern. In this paper, we present a tag organization framework for photographs by clustering similar content based photographs. Using a social network graph model, we relate objects and the corresponding relationships amongst them. Each photograph is represented in our framework with five attributes of objects, place, occasion, time and associations. Through experimentation of the MIRFLICKR-25000 image collection, we identity and examine the object popularity and object closeness properties.