Dept. of Comput. Sci. & Inf. Eng., National Taiwan Univ.Lin, Yu-TzuYu-TzuLinJA-LING WU2018-09-102018-09-102004https://www.scopus.com/inward/record.uri?eid=2-s2.0-20444465678&doi=10.1109%2fICIP.2004.1421649&partnerID=40&md5=a2e887a7cfb75111d184a389e9673ecehttp://scholars.lib.ntu.edu.tw/handle/123456789/307801This paper presents a feasible system of multimedia fingerprinting. A c-TA code which can be constructed flexibly is used. To ensure the applicability of both the maximum collusion size and the maximum number of consumers, the fingerprint length should be considerably increased. We design a content-adaptive watermarking scheme using neural networks to adaptively embed the long-length fingerprint without influencing the imperceptibility significantly. Experimental results show the high detection ratio of traitor tracing. ©2004 IEEE.application/pdf263984 bytesapplication/pdf[SDGs]SDG6Human vision system (HVS); Traceability; Traitor tracing; Watermarked images; Digital watermarking; Feature extraction; Fourier transforms; Image processing; Self organizing maps; Vision; Multimedia systemsA traceable content-adaptive fingerprinting for multimediaconference paper10.1109/ICIP.2004.14216492-s2.0-20444465678