Semantic awareness for automatic image interpretation
Albrecht J. Lindner · 2012
This thesis aims at developing methods to make digital devices more automatic and intuitive while focusing on image-related applications. We learn associations between image characteristics and keywords with a statistical framework based on large databases of annotated images. Such associations are widely exploitable and we demonstrate two main applications: semantic image enhancement and automatic color naming. Both applications show convincing results and suggest that the framework can be extended to other areas.