NDLI: Video Annotation by Active Learning and Semi-Supervised Ensembling

Content Provider	IEEE Xplore Digital Library
Author	Yan Song Guo-Jun Qi Xian-Sheng Hua Li-Rong Dai Ren-Hua Wang
Copyright Year	2006
Description	Author affiliation: Dept. of EEIS, Univ. of Sci. & Technol. of China (Yan Song)
Abstract	Supervised and semi-supervised learning are frequently applied methods to annotate videos by mapping low-level features into semantic concepts. Due to the large semantic gap, the main constraint of these methods is that the information contained in a limited-size labeled dataset can hardly represent the distributions of the semantic concepts. In this paper, we propose a novel semi-automatic video annotation framework, active learning with semi-supervised ensembling, which tries to tackle the disadvantages of current video annotation solutions. Firstly the initial training set is constructed based on distribution analysis of the entire video dataset and then an active learning scheme is combined into a semi-supervised ensembling framework, which selects the samples to maximize the margin of the ensemble classifier based on both labeled and unlabeled data. Experimental results show that the proposed method performs superior to general semi-supervised learning algorithms and typical active learning algorithms in terms of annotation accuracy and stability
Starting Page	933
Ending Page	936
File Size	115131
Page Count	4
File Format	PDF
ISBN	1424403667
DOI	10.1109/ICME.2006.262673
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-09
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Engines Semisupervised learning Learning systems Labeling Automation Stability Assembly Performance evaluation Testing Skeleton
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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