Building personal digital photograph libraries: an approach with ontology-based MPEG-7 Dozen Dimensional Digital Content architecture
P.-J. Kuo, Terumasa Aoki, Hiroshi Yasuda · Computer Graphics International · 2004
The current trend of image retrieval is to incorporate the image visual features used in content based image retrieval (CBIR) and semantics annotations used in metadata based image retrieval to enhance retrieval performance. Because of the pervasive of consumer imaging devices, building personal digital photograph libraries became an increasingly interested domain. Personal digital photograph collections have specific characteristics compare to general purpose image databases. Hence, annotation architecture specially designed for that plays an important role in building an interoperable data repository for future indexing, browsing and retrieving purposes. We propose a MPEG-7 based multimedia content description architecture, Dozen Dimensional Digital Content (DDDC), which annotates multimedia data with twelve main attributes regarding its semantic representation. In addition, we also proposed a machine-understandable spatial and temporal based ontology representation for the above DDDC semantics description to enable semiautomatic annotation process