Accelerating Non-photorealistic Video Effects Using Compressed Domain Processing

Recently, various non-photorealistic rendering (NPR) techniques have been developed for computers to generate images of different artistic styles automatically. Due to the complexity of the algorithms, however, most NPR methods are limited to the processing of still images. It is the objective of this paper to extend and improve existing NPR techniques to enable near realtime processing of video. The enhancement will be achieved by compressed domain processing. By exploiting the relationship among I, P, and B frames, different strategies can be developed to increase the efficiency of the NPR algorithm. Experimental results have demonstrated the efficacy of the proposed methods and validated the near real-time creation of NPR video effects.