ICIP 2006, Atlanta, GA

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Paper Detail

Session:Image/Video Storage and Retrieval
Time:Wednesday, October 11, 14:20 - 17:00
Presentation: Poster
Topic: Image & Video Storage and Retrieval: Machine Learning for image and video Classification
Authors: Zhenghua Yu; National ICT Australia 
Abstract: This paper addresses the problem of categorizing/classifying images, with an emphasis on utilizing unlabeled image data to achieve higher classification accuracy. The main contribution of this paper is two-fold: firstly we introduce graph based semi-supervised learning to the problem of image categorization. Secondly we propose a novel neighborhood preserving graph-based semi-supervised learning method. Experiments of applying the proposed method to categorize image data demonstrated its effectiveness.