ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483)
DOI: 10.1109/icecs.2001.957469
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Self-synchronizing watermark detection for MPEG-4 objects

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Cited by 10 publications
(4 citation statements)
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“…In this blind watermarking system, frequency masking is used to improve both the visual quality and robustness to attacks but its robustness is verified only against bit-rate decreasing and frame dropping. In [98], the authors proposed a watermarking scheme for MPEG-4 natural video objects in which both synchronization and watermark signals are embedded to enable fast synchronization recovery in the case of object manipulation. Lu et al in [99] designed a watermarking algorithm based on the concept of communications with side information for a MPEG-4 video object.…”
Section: A Compressed Domain Watermarkingmentioning
confidence: 99%
“…In this blind watermarking system, frequency masking is used to improve both the visual quality and robustness to attacks but its robustness is verified only against bit-rate decreasing and frame dropping. In [98], the authors proposed a watermarking scheme for MPEG-4 natural video objects in which both synchronization and watermark signals are embedded to enable fast synchronization recovery in the case of object manipulation. Lu et al in [99] designed a watermarking algorithm based on the concept of communications with side information for a MPEG-4 video object.…”
Section: A Compressed Domain Watermarkingmentioning
confidence: 99%
“…The first method is constructing template signal as an auxiliary signal into the watermarked signal [9]. Disadvantage is that the template signal may increase the distortion.…”
Section: Temporal Synchronizationmentioning
confidence: 99%
“…Many works have been done at object level. Boulgouris et al [7], Lu and Liao [8], and Lie et al [9] chose to embed the watermark in the DCT domain. But these algorithms are not robust to segmentation error since watermarked DCT blocks on the mask boundary are very sensitive to mask or segmentation error.…”
Section: Introductionmentioning
confidence: 99%