Semantics-preserving bag-of-words models for efficient image annotation

• Main Authors: WU, Lei, HOI, Steven C. H., YU, Nenghai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2009
• Subjects: Distance metric learning; Bag-of-words model; Semantic gap; Image annotation; Databases and Information Systems; Data Storage Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/4189; https://ink.library.smu.edu.sg/context/sis_research/article/5192/viewcontent/p19_wu.pdf
• Institution: Singapore Management University

The Bag-of-Words (BoW) model is a promising image representation for annotation. One critical limitation of existing BoW models is the semantic loss during the codebook generation process, in which BoW simply clusters visual words in Euclidian space. However, distance between two visual words in Euc...