Digital fingerprinting is a technique to protect digital contents from
illegal reproduction and redistribution by marking unique information for indi-
vidual user. A powerful but simple attack to diminish fingerprint signals is av-
eraging. While several fingerprinting schemes against collusion attacks were
proposed, they often do not fully account for multimedia data. In this paper, we
propose a zero-based code modulation method which fully reflects marking as-
sumption concept to embedding and detection of signals and anti-collusion
code working mechanism as well. By manipulating 0-bit information of binary
codes, detection accuracy and code separation under averaging attacks were
enhanced. To demonstrate our method, we used an averaging-resilient finger-
print code based on GD-PBIBD theory and applied it video fingerprinting sys-
tems. Through the experimental results, we convince our method improves av-
eraging resiliency of fingerprinting systems.