Personal archiving and retrieving image system (paris)

In previous publications, we have proposed the DDDC architecture which annotates multimedia data with twelve main attributes regarding its semantic representation. In addition, we also proposed machine-understandable "Spatial and Temporal Based Ontologies" representation for the above DDDC semantics description to enable semi-automatic annotation process. PARIS (Personal Archiving and Retrieving Image System) is an experiment personal photograph library, which includes more than 80,000 of consumer photographs accumulated within a duration of approximately five years, metadata based on our proposed MPEG-7 annotation architecture, Dozen Dimensional Digital Content (DDDC), and a relational database structure. In this paper, we explain our proposed spatial and temporal coordinated Ontologies constructed based on personal related photograph preferences. As personal digital photograph libraries have specific characteristics and are particularly Spatial and Temporal associated, we envision various novel retrieval possibilities at semantic level can be developed based on the proposal described in this paper.