Metadata-based reminder classification in reminiscence engineering

Abstract

Our personal memory project studies a new framework which supports people construct the personal history on the computer. In this paper, we propose a framework of reminiscence engineering in order to classify reminders of personal memories. The reminders include photos, videos, gifts from significant people and so on. Today the reminders have been digitized, such as digital photos, and the amount of them keeps on increasing and the necessity of managing these digital reminders is also increasing. This system supports to manage reminiscence by classifying the digital reminders based on their metadata. The metadata in this research means the data about digital photos, such as the date and time at which it was taken, objects and the related memories. In order to classify these metadata, the system provides the vocabulary database that structures vocabulary necessary to classify the digital photos. We propose an effective framework which supports construct the vocabulary database through the entry of personal memory, as well as construct personal memory through the entry of new vocabulary. © 2009 Springer Berlin Heidelberg.