Spatial temporal and histogram video registration for digital watermark detection

Thomas.Stuetz@fh-salzburg.ac.at Florent.Autrusseau@univ-nantes.fr uhl@cosy.sbg.ac.at 4) Conference & Publisher information:IEEE Trans on Multimedia -TMM http://www.signalprocessingsociety.org/tmm/ http://www.ieee.org/ Abstract-In this work we propose a novel non-blind H.264/CAVLC structure-preserving substitution watermarking algorithm. The proposed watermarking algorithm enables extremely efficient watermark embedding by simple bit substitutions (substitution watermarking). The bit-substitutions change the motion vector differences of non-reference frames. Furthermore our watermarking algorithm can be applied in applications scenarios which require that watermarking preserves the length of the bitstream units (structure-preserving watermarking). The watermark detection works in the image domain and thus is robust to video format changes. The quality and robustness of the approach are in depth evaluated and analyzed, the quality evaluation is backed up by subjective evaluations. Comparison to the state-of-the-art indicates a superior performance of our watermarking algorithm.

show abstract

“…These features can later be used to register the content. Specific solutions for watermarking have also been proposed [23], [24].…”

Section: B Detectionmentioning

confidence: 99%

Non-Blind Structure-Preserving Substitution Watermarking of H.264/CAVLC Inter-Frames

Stütz

Autrusseau

Uhl

2014

IEEE Trans. Multimedia

View full text Add to dashboard Cite

show abstract

“…A priori information introduces some "smoothness" constraint between registered samples. Temporal registration is performed by applying a dynamic programming algorithm between the original and the pirated fingerprint, in a similar way than [3]. SPIHT …”

Section: Registration By Dynamic Programmingmentioning

confidence: 99%

“…Moreover, when the content undergoes huge distortions (for instance after camcording), the reference watermark may not be robust enough to give an accurate estimation of the transformation, and the synchronization between the reference watermark and the candidate is lost. In the scope of semi-blind watermark detection where the title of the pirated content is known (for instance in forensics watermarking), it is possible to perform registration using the original content itself [3]. However, when one comes to large scale data, processing, storing and accessing the whole original content may no be convenient.…”

Section: Introductionmentioning

confidence: 99%

Adaptive video fingerprints for accurate temporal registration

Baudry¹,

Chupeau²,

Lefèbvre³

2010

2010 IEEE International Conference on Acoustics, Speech and Signal Processing

View full text Add to dashboard Cite

Designing watermarks that can withstand geometric and temporal attacks is a notoriously difficult problem. The registration of a pirate content with the reference content, prior to the decoding of an embedded forensic mark, is therefore preferred. Semi-automatic registration systems, requiring the expert user to manually select and match control points through a suitable user interface, are not acceptable for content owners and do not usually provide very accurate results. A fully automated registration scheme is therefore chosen to synchronize pirate and master contents. By extracting robust and unique features, digital fingerprinting provides a relevant framework for automatic semi-blind content registration. In this paper we focus on temporal registration. In order to guarantee an accurate alignment while keeping the fingerprint size as small as possible, we propose a temporally adaptive approach. The registration scheme is designed around an adaptive motion description based on hierarchical encoding of the wavelet coefficients computed on the difference of successive frames.

show abstract

“…An integrated approach for spatial, temporal and histogram registration (STH) can be found by Cheng and Isnardi in [7], which is used in the forensic watermarking system offered by the Sarnoff Corporation. In their solution, misalignment in each domain is modeled separately first, and then put together in a combined equation.…”

Section: Related Workmentioning

confidence: 99%

Semi-automatic registration of videos for improved watermark detection

Schaber

Kopf

Effelsberg

et al. 2010

Proceedings of the First Annual ACM SIGMM Conference on Multimedia Systems

View full text Add to dashboard Cite

Virtually every video watermarking technology can benefit from comparison with the original content. For non-blind schemes it is fundamental; for others it is an improvement to increase the watermark's signal-to-noise ratio by subtracting the content that is often noise to the detector. A direct frame-by-frame comparison of the videos is not possible due to the fact that illegal copies of videos usually differ significantly from their originals caused by different spatial resolution or frame rates, geometric distortions from capturing, or targeted attacks. In this paper, we present a software tool that enables the semi-automatic temporal and spatial synchronization of frames and pixels of two similar videos. This process is called registration. We put our focus on utilizing human capabilities with the smallest possible effort, to allow a high overall performance and precision of the registration. An efficient graphical user interface supports the users and visualizes the results of all steps. In addition, we specifically distinguish digitally reproduced copies from analog (camcorded) copies in which two or more frames are blended into a new frame.

show abstract

Spatial temporal and histogram video registration for digital watermark detection

Cited by 13 publications

References 4 publications

Non-Blind Structure-Preserving Substitution Watermarking of H.264/CAVLC Inter-Frames

Non-Blind Structure-Preserving Substitution Watermarking of H.264/CAVLC Inter-Frames

Adaptive video fingerprints for accurate temporal registration

Semi-automatic registration of videos for improved watermark detection

Contact Info

Product

Resources

About