Semantic-driven context-aware visual information indexing and retrieval: applied in the film post-production domain
Badii, A., Zhu, M., Lallah, C. and Crouch, M. (2009) Semantic-driven context-aware visual information indexing and retrieval: applied in the film post-production domain. In: Workshop on Computational Intelligence for Visual Intelligence (CIVI), Nashville, Tennessee, USA.
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A large volume of visual content is inaccessible until effective and efficient indexing and retrieval of such data is achieved. In this paper, we introduce the DREAM system, which is a knowledge-assisted semantic-driven context-aware visual information retrieval system applied in the film post production domain. We mainly focus on the automatic labelling and topic map related aspects of the framework. The use of the context- related collateral knowledge, represented by a novel probabilistic based visual keyword co-occurrence matrix, had been proven effective via the experiments conducted during system evaluation. The automatically generated semantic labels were fed into the Topic Map Engine which can automatically construct ontological networks using Topic Maps technology, which dramatically enhances the indexing and retrieval performance of the system towards an even higher semantic level.