Scalable visual instance mining with threads of features

• Main Authors: ZHANG, Wei, LI, Hongzhi, NGO, Chong-wah, CHANG, Shih-Fu
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Clustering; Instance mining; Min-hash; Summarization; Thread of Features; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6504; https://ink.library.smu.edu.sg/context/sis_research/article/7507/viewcontent/2647868.2654942.pdf
• Institution: Singapore Management University

We address the problem of visual instance mining, which is to extract frequently appearing visual instances automatically from a multimedia collection. We propose a scalable mining method by exploiting Thread of Features (ToF). Specifically, ToF, a compact representation that links consistent featur...