DICTA '11 Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications
Spatiotemporal Visual Considerations for Video Coding
IEEE Transactions on Multimedia
Perceptual Temporal Quality Metric for Compressed Video
IEEE Transactions on Multimedia
Noiseless coding of correlated information sources
IEEE Transactions on Information Theory
The rate-distortion function for source coding with side information at the decoder
IEEE Transactions on Information Theory
H.264 video communication based refined error concealment schemes
IEEE Transactions on Consumer Electronics
Foveation scalable video coding with automatic fixation selection
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Systematic Lossy Error Protection of Video Signals
IEEE Transactions on Circuits and Systems for Video Technology
Perceptually Unequal Packet Loss Protection by Weighting Saliency and Error Propagation
IEEE Transactions on Circuits and Systems for Video Technology
Perceptually Scalable Extension of H.264
IEEE Transactions on Circuits and Systems for Video Technology
State-of-the-Art in Visual Attention Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In video communication systems, the video signals are typically compressed and sent to the decoder through an error-prone transmission channel that may corrupt the compressed signal, causing the degradation of the final decoded video quality. In this context, it is possible to enhance the error resilience of typical predictive video coding schemes using as inspiration principles and tools from an alternative video coding approach, the so-called Distributed Video Coding (DVC), based on the Distributed Source Coding (DSC) theory. Further improvements in the decoded video quality after error-prone transmission may also be obtained by considering the perceptual relevance of the video content, as distortions occurring in different regions of a picture have a different impact on the user's final experience. In this context, this paper proposes a Perceptually Driven Error Protection (PDEP) video coding solution that enhances the error resilience of a state-of-the-art H.264/AVC predictive video codec using DSC principles and perceptual considerations. To increase the H.264/AVC error resilience performance, the main technical novelties brought by the proposed video coding solution are: (i) design of an improved compressed domain perceptual classification mechanism; (ii) design of an improved transcoding tool for the DSC-based protection mechanism; and (iii) integration of a perceptual classification mechanism in an H.264/AVC compliant codec with a DSC-based error protection mechanism. The performance results obtained show that the proposed PDEP video codec provides a better performing alternative to traditional error protection video coding schemes, notably Forward Error Correction (FEC)-based schemes.