Unsupervised visual hashing with semantic assistant for content-based image retrieval

• Main Authors: ZHU, Lei, SHEN, Jialie, XIE, Liang, CHENG, Zhiyong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Content-based image retrieval; semantic-assisted visual hashing; auxiliary texts; unsupervised learning; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/3811; https://ink.library.smu.edu.sg/context/sis_research/article/4813/viewcontent/07464865__1_.pdf
• Institution: Singapore Management University

As an emerging technology to support scalable content-based image retrieval (CBIR), hashing has recently received great attention and became a very active research domain. In this study, we propose a novel unsupervised visual hashing approach called semantic-assisted visual hashing (SAVH). Distingui...