文献类型：期刊文献

英文题名：A High-precision Duplicate Image Deduplication Approach

作者：Chen, Ming[1];Wang, Shupeng[2];Tian, Liang[3]

第一作者：Chen, Ming

通讯作者：Chen, M[1]

机构：[1]Beijing Univ Posts & Telecommun, Natl Engn Lab Disaster Backup & Recovery, Beijing, Peoples R China;[2]Chinese Acad Sci, Inst Informat Engn, Beijing, Peoples R China;[3]Xinxiang Univ, Coll Comp & Informat Engn, Xinxiang, Peoples R China

第一机构：Beijing Univ Posts & Telecommun, Natl Engn Lab Disaster Backup & Recovery, Beijing, Peoples R China

通讯机构：[1]corresponding author), Beijing Univ Posts & Telecommun, Natl Engn Lab Disaster Backup & Recovery, Beijing, Peoples R China.

年份：2013

卷号：8

期号：11

起止页码：2768-2775

外文期刊名：JOURNAL OF COMPUTERS

收录：EI(收录号：20134616980981);Scopus(收录号：2-s2.0-84887266589);WOS:【ESCI(收录号:WOS:000218199200007)】；

基金：This research is supported by National Natural Science Foundation of China (No. 61003260, 61202067, 61271275).

语种：英文

外文关键词：image deduplication; B+ tree; accuracy optimization; centroid selection; fuzzy synthetic evaluation

摘要：Deduplication has been widely used in backup systems and archive systems to improve storage utilization effectively. However the traditional deduplication technology can only eliminate exactly the same images, but it is unavailable to duplicate images which have the same visual perceptions but different codes. To address the above problem, this paper proposes a high-precision duplicate image deduplication approach. The main idea of the proposed approach is eliminating the duplicate images by five stages including feature extraction, high-dimension indexing, accuracy optimization, centroid selection and deduplication evaluation. Experimental results demonstrate: in a real dataset, the proposed approach not only effectively saves storage space, but also significantly improves the retrieval precision of duplicate images. In addition, the selection of the centroid images can meet the requirements of people's perception.