Perceptual hashing algorithms benchmark suite  

作　　者：Zhang Hui Schmucker Martin Niu Xiamu 

机构地区：[1]Harbin Institute of Technology Shenzhen Graduate School, Room 304, Building No. 3, HIT Campus, Shenzhen 518055, China [2]Fraunhofer IGD, Fraunhoferstr 5, Darmstadt 64283, Germany

出　　处：《仪器仪表学报》2007年第4期603-608,共6页Chinese Journal of Scientific Instrument

基　　金：European Network of Excellence for cryptology, the National Natural Science Foundation of China(60671064);the Foundation for the Author of National Excellent Doctoral Dissertation of China (FANEDD-200238);the Foundation for the ExcellentYouth of Heilongjiang Province;the Program for New Century Excellent Talents in University (NCET-04-0330)

摘　　要：Numerous perceptual hashing algorithms have been developed for identification and verification of multimedia objects in recent years. Many application schemes have been adopted for various commercial objects. Developers and users are looking for a benchmark tool to compare and evaluate their current algorithms or technologies. In this paper, a novel benchmark platform is presented. PHABS provides an open framework and lets its users define their own test strategy, perform tests, collect and analyze test data. With PHABS, various performance parameters of algorithms can be tested, and different algorithms or algorithms with different parameters can be evaluated and compared easily.Numerous perceptual hashing algorithms have been media objects in recent years. Many application schemes have developed for identification and verification of multibeen adopted for various commercial objects. Developers and users are looking for a benchmark tool to compare and evaluate their current algorithms or technologies. In this paper, a novel benchmark platform is presented. PHABS provides an open framework and lets its users define their own test strategy, perform tests, collect and analyze test data. With PHABS, various performance parameters of algorithms can be tested, and different algorithms or algorithms with different parameters can be evaluated and compared easily.

关 键 词：感觉散列算法 PHABS 基准点 识别技术 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]