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Tag refinement of micro-videos by learning from multiple data sources

Published:2017-05-25 Issue:19 Volume:76 Page:20341-20358
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Huang Lei^ORCID,Luo Bin

Funder

National Science Foundation of China

Research Project of Excellent State Key Laboratory

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-017-4781-z/fulltext.html

Reference56 articles.

1. Bao BK, Zhu G, Shen J, Yan S (2013) Robust image analysis with sparse representation on quantized visual features. IEEE Trans Image Process 22(3):860–871

2. Chen J (2016) Multi-modal learning: Study on a large-scale micro-video data collection. In: ACM International Conference on Multimedia, pp 1454–1458

3. Chen J, Song X, Nie L, Wang X, Zhang H, Chua TS (2016) Micro tells macro: predicting the popularity of micro-videos via a transductive model. In: ACM International Conference on Multimedia, pp 898–907

4. Chua TS, Tang J, Hong R, Li H, Luo Z, Zheng Y (2009) NUS-WIDE: a real-world web image database from National University of Singapore. In: ACM International Conference on Image and Video Retrieval, p 48

5. Chen L, Xu D, Tsang IWH, Luo J (2010) Tag-based web photo retrieval improved by batch mode re-tagging. In: IEEE Conference on Computer Vision and Pattern Recognition, pp 3440–3446

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