A multimedia retrieval framework based on semi-supervised ranking and relevance feedback

• Main Authors: Yang, Yi, Nie, Feiping, Xu, Dong, Luo, Jiebo, Zhuang, Yueting, Pan, Yunhe
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/99348; http://hdl.handle.net/10220/13497
• Institution: Nanyang Technological University

We present a new framework for multimedia content analysis and retrieval which consists of two independent algorithms. First, we propose a new semi-supervised algorithm called ranking with Local Regression and Global Alignment (LRGA) to learn a robust Laplacian matrix for data ranking. In LRGA, for...