NDLI: Iterative samples labeling for sketch recognition

Content Provider	Springer Nature Link
Author	Liu, Kai Sun, Zhengxing Song, Mofei Li, Bo
Copyright Year	2016
Abstract	Sketch recognition is an important issue in human-computer interaction, especially in sketch-based interface. To provide a scalable and flexible tool for user-centered sketch recognition, this paper proposes an iterative sketch collection annotation method for classifier-training by interleaving online metric learning, semi-supervised clustering and user intervention. It can discover the categories of the collections iteratively by combing online metric learning with semi-supervised clustering, and put the user intervention into the loop of each iteration. The features of our methods lie in three aspects. Firstly, the unlabeled collections are annotated with less effort in a group by group form. Secondly, users can annotate the collections flexibly and freely to define the sketch recognition personally for different applications. Finally, the scalable collection can be annotated efficiently by combining the dynamically processing and online learning. The extensive experimental results prove the effectiveness of our proposed method.
Starting Page	12819
Ending Page	12852
Page Count	34
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	76
Issue Number	10
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2016-06-30
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Sketch recognition Online metric learning Semi-supervised clustering Iterative annotation Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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