caa a22 4500 605447446 CHVBK 20210128100132.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s11042-014-1857-x doi (NATIONALLICENCE)springer-10.1007/s11042-014-1857-x A novel approach to detecting duplicate images using multiple hash tables [Elektronische Daten] [Shang-Lin Hsieh, Chun-Che Chen, Chuan-Ren Chen] This paper presents a new duplicate image detection scheme that adopts multiple hash tables in a novel way for quick image matching and, consequently, fast duplicate detection. The proposed scheme contains two phases: the feature generation phase and the duplication inspection phase. The former phase extracts the features of images that need protection and transforms them into key-value pairs, which are stored in the slots of multiple hash tables. When a possibly duplicated image needs to be examined, the latter phase hashes the features of the suspect image into the corresponding slots of the multiple hash tables and determines if the suspect image is a duplicate one. The execution time of the scheme is relatively short thanks to the unique design of the multiple hash tables. The experimental results show that the proposed scheme obtained satisfactory results both on the recall and precision rates, hence demonstrating it can effectively identify duplicate images including digitally modified copies. Springer Science+Business Media New York, 2014 Duplicate image detection nationallicence Image copy detection nationallicence Image hashing nationallicence Multiple hash tables nationallicence Hsieh Shang-Lin Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan aut Chen Chun-Che Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan aut Chen Chuan-Ren Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/13(2015-07-01), 4947-4964 1380-7501 74:13<4947 2015 74 11042 https://doi.org/10.1007/s11042-014-1857-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-1857-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hsieh Shang-Lin Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan aut NATIONALLICENCE 700 1- Chen Chun-Che Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan aut NATIONALLICENCE 700 1- Chen Chuan-Ren Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/13(2015-07-01), 4947-4964 1380-7501 74:13<4947 2015 74 11042