Abstract
In previous publications, we have proposed a MPEG-7 based annotation architecture, Dozen Dimensional Digital Content (DDDC), specially designed for facilitating the managing, browsing and retrieving of personal digital photograph collections. DDDC annotates multimedia data with twelve main attributes regarding its semantic representations. However, given the proposed DDDC architecture, manual annotations are still inevitable while lack of pre-attached machine generated metadata. When dealing with a large collection of personal photographs, this process could be frustrating and time consuming. To provide a more facilitated methodology, we utilize the concept of "Spatial and Temporal Based Ontology" to enable semi-automatic semantic DDDC annotation. Our "Spatial and Temporal Based Ontology" are designed based on the special pattern of personal photograph collections while we argue that time and location are two most important attributes in terms of personal photograph retrieval. This paper explains our approach.
