Journal of Graphics
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Abstract: In order to solve the problem that the motion vector search is inefficient and the embedded watermark information is single, this paper integrates adaptive artificial bee colony and Powell local search to realize a moving object detection method based on independent component analysis. Adaptive search parameters are used to adjust neighborhood search scope dynamically, that makes artificial bee colony algorithm quickly converge to global optimal and achieve a more optimal solution. Then, all nectaries will be clustered by K-mean to be dependence of clustering result on the initial center, and then clustering results are divided into Powell local search, which accelerate the algorithm convergence speed. The motion component optimization problem is designed by using the independent component, and the optimal solution is solved by the improved method to extract the motion component in the video sequence. By using Logistic-sinusoidal mapping for chaotic encryption, the Arnold map is scrambled on the encrypted watermark image, and the final watermark information is embedded in B frame and P frame, and the real integrity of the video data is enhanced while improving the video data attack. The simulation results show that the hybrid watermark embedding algorithm has good performance in robustness and vulnerability.
Key words: moving target detection, video watermark, artificial bee colony, Powell search, Logistic-sine mapping, Arnold mapping
ZHU Shengfeng. A Hybrid Video Watermarking Algorithm Based on Artificial Bee Colony and Chaotic Mapping[J]. Journal of Graphics, DOI: 10.11996/JG.j.2095-302X.2018010021.
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URL: http://www.txxb.com.cn/EN/10.11996/JG.j.2095-302X.2018010021
http://www.txxb.com.cn/EN/Y2018/V39/I1/21