Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding

Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding

We present a multi-layer group sparse coding framework for concurrent single-label image classification and annotation. By leveraging the dependency between image class label and tags, we introduce a multi-layer group sparse structure of the reconstruction coefficients. Such structure fully encodes...

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Bibliographic Details
Main Authors: Gao, Shenghua, Chia, Liang-Tien, Tsang, Ivor Wai-Hung, Ren, Zhixiang
Other Authors: School of Computer Engineering
Format: Journal Article
Language:English
Published: 2016
Subjects:
Image annotation
Sparse coding
Image classification
Kernel trick
Online Access:https://hdl.handle.net/10356/81696
http://hdl.handle.net/10220/39673

Internet

https://hdl.handle.net/10356/81696
http://hdl.handle.net/10220/39673

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