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

• Main Authors: Gao, Shenghua, Chia, Liang-Tien, Tsang, Ivor Wai-Hung, Ren, Zhixiang
• Other Authors: School of Computer Engineering
• Format: 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
• Institution: Nanyang Technological University

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...