Robust Video Transmission over Binary Symmetric Channels with Packet Erasures
DCC '02 Proceedings of the Data Compression Conference
Unequal packet loss resilience for fine-granular-scalability video
IEEE Transactions on Multimedia
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
Joint source coding and data rate adaptation for energy efficient wireless video streaming
IEEE Journal on Selected Areas in Communications
Operational rate-distortion performance for joint source and channel coding of images
IEEE Transactions on Image Processing
Bit allocation for joint source/channel coding of scalable video
IEEE Transactions on Image Processing
Joint source-channel coding for motion-compensated DCT-based SNR scalable video
IEEE Transactions on Image Processing
Error-resilient image and video transmission over the Internet using unequal error protection
IEEE Transactions on Image Processing
Wireless image transmission using turbo codes and optimal unequal error protection
IEEE Transactions on Image Processing
Optimal erasure protection strategy for scalably compressed data with tree-structured dependencies
IEEE Transactions on Image Processing
Rate-distortion optimized layered coding with unequal error protection for robust Internet video
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Channel-adaptive resource allocation for scalable video transmission over 3G wireless network
IEEE Transactions on Circuits and Systems for Video Technology
WSEAS Transactions on Circuits and Systems
Error protection and interleaving for wireless transmission of JPEG 2000 images and video
IEEE Transactions on Image Processing
A framework for error protection of region of interest coded images and videos
Image Communication
Video streaming over P2P networks: Challenges and opportunities
Image Communication
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An efficient approach for joint source and channel coding is presented. The proposed approach exploits the joint optimization of a wavelet-based scalable video coding framework and a forward error correction method based on turbo codes. The scheme minimizes the reconstructed video distortion at the decoder subject to a constraint on the overall transmission bitrate budget. The minimization is achieved by exploiting the source rate distortion characteristics and the statistics of the available codes. Here, the critical problem of estimating the bit error rate probability in error-prone applications is discussed. Aiming at improving the overall performance of the underlying joint source-channel coding, the combination of the packet size, interleaver, and channel coding rate is optimized using Lagrangian optimization. Experimental results show that the proposed approach outperforms conventional forward error correction techniques at all bit error rates. It also significantly improves the performance of end-to-end scalable video transmission at all channel bit rates.