Tamper detection and localization for categorical data using fragile watermarks
Proceedings of the 4th ACM workshop on Digital rights management
Enhancing wireless video streaming using lightweight approximate authentication
Proceedings of the 2nd ACM international workshop on Quality of service & security for wireless and mobile networks
Classification-based spatial error concealment for visual communications
EURASIP Journal on Applied Signal Processing
Multimedia Tools and Applications
Fragile watermarking using finite field trigonometrical transforms
Image Communication
A fragile watermarking scheme for detecting malicious modifications of database relations
Information Sciences: an International Journal
IEEE Transactions on Multimedia
High-performance region-of-interest image error concealment with hiding technique
Journal of Electrical and Computer Engineering
Performance analysis of error concealment algorithms for MPEG-2 video
MUSP'06 Proceedings of the 6th WSEAS international conference on Multimedia systems & signal processing
Performance of a H.264/AVC error detection algorithm based on syntax analysis
Journal of Mobile Multimedia
Tamper proofing 3d motion data streams
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
On protection of compressed image in fading channel using data hiding
Computers and Electrical Engineering
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In video communications over error-prone channels, compressed video streams are extremely sensitive to bit errors. Often random and burst bit errors impede correct decoding of parts of a received bitstream. Video decoders normally utilize error concealment techniques to repair a damaged decoded frame, but the effectiveness of these error concealment schemes relies heavily on correctly locating errors in the bitstream. In this paper, we propose a fragile watermark-based error detection and localization scheme called "force even watermarking (FEW)". A fragile watermark is forced onto quantized DCT coefficients at the encoder. If at the decoder side the watermark is no longer intact, errors exist in the bitstream associated with a particular macro-block (MB). Thanks to the watermark, bitstream errors can accurately be located at MB level, which facilitates proper error concealment. This paper describes the algorithm, model and analysis of the watermarking procedure. Our simulation results show that compared to the syntax-based error detection schemes, the proposed FEW scheme significantly improves the error detection capabilities of the video decoder, while the peak signal-to-noise ratio loss and additional computational costs due to watermark embedding and extraction are small.