淡江大學機構典藏:Item 987654321/50517
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    题名: A Multimedia Watermarking Technique Based on SVMs
    作者: Wang, Chia-jen;顏淑惠;Yen, Shwu-huey;Wang, Patrick S.
    贡献者: 淡江大學資訊工程學系
    关键词: Digital watermarking;Support Vector Machines (SVMs);Tolerable Position Map (TPM);video watermarking;collusion attacks;Temporal Frame Averaging (TFA);Watermark Estimation Remodulation (WER)
    日期: 2008-12
    上传时间: 2010-08-09 19:04:48 (UTC+8)
    出版者: Singapore: World Scientific Publishing
    摘要: In this paper we present an improved support vector machines (SVMs) watermarking system for still images and video sequences. By a thorough study on feature selection for training SVM, the proposed system shows significant improvements on computation efficiency and robustness to various attacks. The improved algorithm is extended to be a scene-based video watermarking technique. In a given scene, the algorithm uses the first h' frames to train an embedding SVM, and uses the trained SVM to watermark the rest of the frames. In the extracting phrase, the detector uses only the center h frames of the first h' frames to train an extracting SVM. The final extracted watermark in a given scene is the average of watermarks extracted from the remaining frames. Watermarks are embedded in l longest scenes of a video such that it is computationally efficient and capable to resist possible frames swapping/deleting/duplicating attacks. Two collusion attacks, namely temporal frame averaging and watermark estimation remodulation, on video watermarking are discussed and examined. The proposed video watermarking algorithm is shown to be robust to compression and collusion attacks, and it is novel and practical for SVM-applications.
    關聯: International Journal of Pattern Recognition and Artificial Intelligence 22(8), pp.1487-1511
    DOI: 10.1142/S0218001408006934
    显示于类别:[資訊工程學系暨研究所] 期刊論文

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