Photo retrieval combining ontology with visual information
Proceedings of the 2012 ACM Research in Applied Computation Symposium
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With the advances in technology and proliferation of cheap storage, high rate of digital multimedia interaction signifies the increasing need of computer users for a decent application to organize personal media in a meaningful way. In this paper, we want to organize personal media in terms of the sub-events they cover. A semantic gap exists between media, and people's perception of the events and memories associated with this media. A framework is needed to address such gap. This paper describes a novel model-based approach for partitioning and organizing personal photo archive in terms of high-level subevents that capture and represent human experience. Since photos are the most ubiquitous and prolific form of user generated content, we focus on the automatic annotation of personal photo collection in this paper. We introduce ROntology (Recognition-Ontology) that is a context-aware model with concrete contextual information for subevent recognition. Currently our approach utilizes the mereological, spatial and temporal properties of modeled-events in R-Ontology. Personal media will then populate R-Ontology. We tested this approach using our personal photo archive describing two different scenarios: Trip and Indianwedding.