Context dependent Textile Image Auto Annotation

Abstract

This paper presents a context dependent textile image auto annotation system. Typical image auto annotation systems have training data, images that have been annotated manually. Images similar to an input image are found in the training data, and the input image is annotated using the keywords of the similar images. However, the similarity of images may be changed by the context. To solve this problem, we propose a context dependent image auto annotation system that recognizes context by using specialist knowledge. We adopted textile images for experiments that verified the effectiveness of the system.