Robust Multi-Bit Watermarking for Free-View Television Using Light Field Rendering

DOI Web Site 参考文献17件
  • TIAN Huawei
    Institute of Information Science, and Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University
  • ZHAO Yao
    Institute of Information Science, and Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University
  • WANG Zheng
    Institute of Information Science, and Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University
  • NI Rongrong
    Institute of Information Science, and Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University
  • QIN Lunming
    Institute of Information Science, and Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University

書誌事項

公開日
2013
DOI
  • 10.1587/transinf.e96.d.2820
公開者
一般社団法人 電子情報通信学会

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説明

With the rapid development of multi-view video coding (MVC) and light field rendering (LFR), Free-View Television (FTV) has emerged as new entrainment equipment, which can bring more immersive and realistic feelings for TV viewers. In FTV broadcasting system, the TV-viewer can freely watch a realistic arbitrary view of a scene generated from a number of original views. In such a scenario, the ownership of the multi-view video should be verified not only on the original views, but also on any virtual view. However, capacities of existing watermarking schemes as copyright protection methods for LFR-based FTV are only one bit, i.e., presence or absence of the watermark, which seriously impacts its usage in practical scenarios. In this paper, we propose a robust multi-bit watermarking scheme for LFR-based free-view video. The direct-sequence code division multiple access (DS-CDMA) watermark is constructed according to the multi-bit message and embedded into DCT domain of each view frame. The message can be extracted bit-by-bit from a virtual frame generated at an arbitrary view-point with a correlation detector. Furthermore, we mathematically prove that the watermark can be detected from any virtual view. Experimental results also show that the watermark in FTV can be successfully detected from a virtual view. Moreover, the proposed watermark method is robust against common signal processing attacks, such as Gaussian filtering, salt & peppers noising, JPEG compression, and center cropping.

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