Image Annotation for Adaptive Enhancement of Uncalibrated Color Images

The paper describes an innovative image annotation tool, based on a multi-class Support Vector Machine, for classifying image pixels in one of seven classes - sky, skin, vegetation, snow, water, ground, and man-made structures - or as unknown. These visual categories mirror high-level human perception, permitting the design of intuitive and effective color and contrast enhancement strategies. As a pre-processing step, a smart color balancing algorithm is applied, making the overall procedure suitable for uncalibrated images, such as images acquired by unknown systems under unknown lighting conditions.

• Type: Conference
• Year: 2005
• Where: VISUAL
• Authors: Claudio Cusano, Francesca Gasparini, Raimondo Schettini
• Keywords: Innovative Image Annotation, Multi-class Support Vector, Unknown Lighting Conditions, VISUAL 2005