Representations of keypoint-based semantic concept detection: A comprehensive study

• Main Authors: JIANG, Yu-Gang, YANG, Jun, NGO, Chong-wah
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2010
• Subjects: Bag-of-visual-words; representation choice; semantic concept detection; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6339; https://ink.library.smu.edu.sg/context/sis_research/article/7342/viewcontent/Representations_of_Keypoint_Based_Semantic_Concept_Detection__A_Comprehensive_Study.pdf
• Institution: Singapore Management University

Based on the local keypoints extracted as salient image patches, an image can be described as a "bag-of-visual-words (BoW)" and this representation has appeared promising for object and scene classification. The performance of BoW features in semantic concept detection for large-scale mult...