Parallel scene perception on various blurry images

Authors:
Le Dong;Ebroul Izquierdo
Affiliations:
University of Electronic Science and Technology of China, Chengdu, China;University of London, London, UK
Venue:
Proceedings of the First International Conference on Internet Multimedia Computing and Service
Year:
2009

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Abstract

A parallel framework for scene perception on various degrees of blurry images is described and validated. The global-to-local oriented approach is used for scene perception on various blurry visual information. Essential capture in global pathway and highlight detection in local pathway are integrated for various blurry visual information applications. The system can differentiate scenes from various semantic meanings using a spatial layout of context information, which capture the "essential" of the scene. The system can even further discriminate the contents contained in the scene via local highlight detection. Distinct from previous frameworks, the system presents the entire scheme of being biologically plausible and application efficiency, thus offering a straightforward platform for rapid analysis and interpretation on various blurry visual information.