We present an novel watermark scheme of adaptively selecting embedding positions of watermark. In this scheme, we have exploited the capabilities of Fuzzy Neural Network (FNN) approaches for nonlinearly classification the embedding positions. Fuzzy set theory is adopted in a new neural computing algorithm. It has been proved that the novel scheme gets rid of the slow training speed and network parameter sensibility. It is well suited to select embedding positions tasks. Experimental results show that the proposed scheme has good impe...
