NDLI: Semi-supervised emotional classification of color images by learning from cloud

Content Provider	IEEE Xplore Digital Library
Author	Na Li Yong Xia Yuwei Xia
Copyright Year	2015
Description	Author affiliation: Comput. Sci. Coll., Xi'an Polytech. Univ., Xi'an, China (Yuwei Xia) \|\| Shaanxi Key Lab. of Speech & Image Inf. Process., Northwestern Polytech. Univ., Xi'an, China (Na Li; Yong Xia)
Abstract	Classification of images based on the feelings generated by each image in its reviewers is becoming more and more popular. Due to the difficulty of gathering training data, this task is intrinsically a small-sample learning problem. Hence, the results produced by most existing solutions are less accurate. In this paper, we propose the semi-supervised hierarchical classification (SSHC) algorithm for emotional classification of color images. We extract three groups of features for each classification task and use those features in a two-level classification model that is based on the support vector machine (SVM) and Adaboost technique. To enlarge the training dataset, we employ each training image to retrieve similar images from the Internet cloud and jointly use the manually labeled small dataset and retrieved large but unlabeled dataset to train a classifier via semi-supervised learning. We have evaluated the proposed algorithm against the fuzzy similarity-based emotional classification (FSBEC) algorithm and another supervised hierarchical classification algorithm that does not learn from online images in three bi-class classification tasks, including “warm vs. cool”, “light vs. heavy” and “static vs. dynamic”. Our pilot results suggest that, by learning from the similar images archived in the Internet cloud, the proposed SSHC algorithm can produce more accurate emotional classification of color images.
Starting Page	84
Ending Page	90
File Size	2284109
Page Count	7
File Format	PDF
ISSN	21568111
e-ISBN	9781479999538
DOI	10.1109/ACII.2015.7344555
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Support vector machines Histograms Image color analysis Content-based image retrieval (CBIR) Image edge detection Semi-supervised learning Color Feature extraction Image emotional classification
Content Type	Text
Resource Type	Article

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