Describing Images using a Multilayer Framework based on Qualitative Spatial Models

The Baltic International Yearbook of Cognition Logic and Communication

Shi, Hui¹  Wang, Tao¹ 

[1] University of Bremen

关键词: image processing;    spatial perception;    spatial models;    qualitative spatial models;   

DOI  :  10.4148/1944-3676.1104

学科分类：社会科学、人文和艺术（综合）

来源: New Prairie Press

【 摘 要 】

To date most research in image processing has been based on quantitative representations of image features using pixel values, however, humans often use abstract and semantic knowledge to describe and analyze images. To enhance cognitive adequacy and tractability, we here present a multilayer framework based on qualitative spatial models. The layout features of segmented images are defined by qualitative spatial models which we introduce, and represented as a set of qualitative spatial constraints. Assigned different semantic and context knowledge, the image segments and the qualitative spatial constraints are interpreted from different perspectives. Finally, the knowledge layer of the framework enables us to describe the image in a natural way by integrating the domain-specified semantic constraints and the spatial constraints.

【 授权许可】

Unknown