An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory
Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory
Applications of Video-Content Analysis and Retrieval
IEEE MultiMedia
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Improvements to Platt's SMO Algorithm for SVM Classifier Design
Neural Computation
Standard Codecs: Image Compression to Advanced Video Coding
Standard Codecs: Image Compression to Advanced Video Coding
Classification-based spatial error concealment for visual communications
EURASIP Journal on Applied Signal Processing
A data embedded video coding scheme for error-prone channels
IEEE Transactions on Multimedia
A fragile watermark error detection scheme for wireless video communications
IEEE Transactions on Multimedia
Efficient adaptive error concealment technique for video decoding system
IEEE Transactions on Multimedia
Classification-Based System For Cross-Layer Optimized Wireless Video Transmission
IEEE Transactions on Multimedia
Joint Source-Channel Rate-Distortion Optimization for H.264 Video Coding Over Error-Prone Networks
IEEE Transactions on Multimedia
Incorporating Concept Ontology for Hierarchical Video Classification, Annotation, and Visualization
IEEE Transactions on Multimedia
A survey of future broadband multimedia satellite systems, issues and trends
IEEE Communications Magazine
Evolution of aeronautical communications for personal and multimedia services
IEEE Communications Magazine
Advances in network-supported media delivery in next-generation mobile systems
IEEE Communications Magazine
Multiframe video coding for improved performance over wireless channels
IEEE Transactions on Image Processing
Joint source-channel coding for wireless object-based video communications utilizing data hiding
IEEE Transactions on Image Processing
Detection and concealment of transmission errors in H.261 images
IEEE Transactions on Circuits and Systems for Video Technology
Error-propagation prevention technique for real-time video transmission over ATM networks
IEEE Transactions on Circuits and Systems for Video Technology
Detection and concealment of transmission errors in MPEG-2 images-a genetic algorithm approach
IEEE Transactions on Circuits and Systems for Video Technology
MPEG-2 error concealment based on block-matching principles
IEEE Transactions on Circuits and Systems for Video Technology
Iterative error detection and correction of H.263 coded video for wireless networks
IEEE Transactions on Circuits and Systems for Video Technology
Geometric-Based Error Concealment for Concealing Transmission Errors and Improving Visual Quality
IEEE Transactions on Circuits and Systems for Video Technology
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Wireless multimedia services are increasingly becoming popular boosting the need for better quality-of-experience (QoE) with minimal costs. The standard codecs employed by these systems remove spatio-temporal redundancies to minimize the bandwidth required. However, this increases the exposure of the system to transmission errors, thus presenting a significant degradation in perceptual quality of the reconstructed video sequences. A number of mechanisms were investigated in the past to make these codecs more robust against transmission errors. Nevertheless, these techniques achieved little success, forcing the transmission to be held at lower bit-error rates (BERs) to guarantee acceptable quality. This paper presents a novel solution to this problem based on the error detection capabilities of the transport protocols to identify potentially corrupted group-of-blocks (GOBs). The algorithm uses a support vector machine (SVM) at its core to localize visually impaired macroblocks (MBs) that require concealment within these GOBs. Hence, this method drastically reduces the region to be concealed compared to state-of-the-art error resilient strategies which assume a packet loss scenario. Testing on a standard H.263++ codec confirms that a significant gain in quality is achieved with error detection rates of 97.8% and peak signal-to-noise ratio (PSNR) gains of up to 5.33 dB. Moreover, most of the undetected errors provide minimal visual artifacts and are thus of little influence to the perceived quality of the reconstructed sequences.