Paper
27 February 2007 Adaptive MPEG-2 video data hiding scheme
Author Affiliations +
Abstract
We have investigated adaptive mechanisms for high-volume transform-domain data hiding in MPEG-2 video which can be tuned to sustain varying levels of compression attacks. The data is hidden in the uncompressed domain by scalar quantization index modulation (QIM) on a selected set of low-frequency discrete cosine transform (DCT) coefficients. We propose an adaptive hiding scheme where the embedding rate is varied according to the type of frame and the reference quantization parameter (decided according to MPEG-2 rate control scheme) for that frame. For a 1.5 Mbps video and a frame-rate of 25 frames/sec, we are able to embed almost 7500 bits/sec. Also, the adaptive scheme hides 20% more data and incurs significantly less frame errors (frames for which the embedded data is not fully recovered) than the non-adaptive scheme. Our embedding scheme incurs insertions and deletions at the decoder which may cause de-synchronization and decoding failure. This problem is solved by the use of powerful turbo-like codes and erasures at the encoder. The channel capacity estimate gives an idea of the minimum code redundancy factor required for reliable decoding of hidden data transmitted through the channel. To that end, we have modeled the MPEG-2 video channel using the transition probability matrices given by the data hiding procedure, using which we compute the (hiding scheme dependent) channel capacity.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anindya Sarkar, Upamanyu Madhow, Shivkumar Chandrasekaran, and Bangalore S. Manjunath "Adaptive MPEG-2 video data hiding scheme", Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 65051D (27 February 2007); https://doi.org/10.1117/12.703563
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Cited by 23 scholarly publications.
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KEYWORDS
Video

Data hiding

Video compression

Quantization

Computer programming

Distortion

Matrices

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