DETECTING NEAR DUPLICATE IMAGES

摘要

Near duplicate images are detected based on local structure feature matching of local features (24) that are extracted from the images (16, 18). The matching process also may involve detecting near duplicate images based on metadata features and global image features. A computationsensitive cascaded classifier (60) may be used together with an on-demand feature extraction to detect near duplicate images with improved efficiency and reduced computational cost.