Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12443
Title: Region level annotation by fuzzy based contextual cueing label propagation
Authors: Zhong, SH
Liu, Y 
Liu, Y
Chung, FL 
Keywords: Contextual cueing
Fuzzy Theory
Label to region assignment
Issue Date: 2012
Publisher: Springer
Source: Multimedia tools and applications, 2012, p. 1-21 How to cite?
Journal: Multimedia Tools and Applications 
Abstract: This paper investigates the challenging issue of assigning given image-level annotations to precise regions on images. We propose a novel label to region assignment (LRA) technique called Fuzzy-based Contextual-cueing Label Propagation (FCLP) with four parts: First, an image is over-segmented into a set of atomic patches and the local visual information of color features and texture features are extracted. Second, fuzzy representation and fuzzy logic are used to model spatial invariants of contextual cueing information, especially for the imprecise position information and ambiguous spatial topological relationships. Third, labels are propagated inter images and intra images in visual space and in contextual cueing space. Finally, the fuzzy C-means clustering based on K-nearest neighbor (KNN-FCM) is utilized to segment the images into semantic regions and associate with corresponding annotations. Experiments on two public datasets demonstrate the effectiveness of the proposed technique.
URI: http://hdl.handle.net/10397/12443
ISSN: 1380-7501
DOI: 10.1007/s11042-011-0954-3
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