[1]LU Jing,JIN Yi-jiang,MA Shao-ping,et al.Image annotation using the summation of negative probability based on SVM[J].CAAI Transactions on Intelligent Systems,2006,1(1):62-66.
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Image annotation using the summation of negative probability based on SVM

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 1 Number of periods: 2006 1 Page number: 62-66 Column: 学术论文—机器学习 Public date: 2006-03-25
Title:
Image annotation using the summation of negative probability based on SVM
Author(s):
LU Jing;  JIN Yi-jiang;  MA Shao-ping;  RU Li-yun
The State Key Lab of Intelligence Technology System, Department of Computer Science and Technology, Tsinghua University, Beijing 100084,China
Keywords:
semantic label;  the summation of negative probability;  pairwise coupling;  label-vector
CLC:
TP3
DOI:
-
Abstract:
In the approach of content-based image retrieval, a critical point is to provide maximum support in bridging the semantic gap betwee n lowlevel visual features and highlevel concepts. An annotation procedure f or providing images with semantic labels was proposed. The annotation procedure started with labeling a small set of training images, each with one semantic lab el. An ensemble of support vector machines (SVMs) based on the summation of nega tive probability, which was constructed by pairwise coupling (PWC), was then got with the contentbased image features. It was applied to give the unlabeled im age an N dimension labelvector, thus providing users with a conceptualiz ed ann otation. The ensemble is better than the one per class (OPC) scheme and the PWC based on the summation of probability.
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