@inproceedings{eb8bc4ad893645eeb6faa2c4734239da,
title = "Speed up Duplicate/Near-Duplicate image detection",
abstract = "Finding duplicate and near-duplicate images plays an important role on redundancy reduction for image storage, summarization and recommendation. This paper introduces how to speed up Duplicate/Near-Duplicate(D/ND) image detection. Image clustering was first applied to partition the images into multiple groups by using coarse visual features; pair-wise image matching was further applied on the images within the same cluster by using fine visual features such as interesting point descriptors. Our coarse-to-fine method can dramatically reduce the computation cost while achieving comparable detection accuracy rate.",
keywords = "Coarse-to-fine features, Duplicate/Near-Duplicate detection",
author = "Chunlei Yang and Jinye Peng and Xiaoyi Feng and Jianping Fan",
year = "2010",
doi = "10.1145/1937728.1937751",
language = "英语",
isbn = "9781450304603",
series = "Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10",
pages = "95--98",
booktitle = "Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10",
note = "2nd International Conference on Internet Multimedia Computing and Service, ICIMCS 2010 ; Conference date: 30-12-2010 Through 31-12-2010",
}