IEEE Transactions on Signal Processing
An optimum power management scheme for wireless video service in CDMA systems
IEEE Transactions on Wireless Communications
Dependent source and channel rate allocation for video transmission
IEEE Transactions on Wireless Communications
Error-resilient video coding in the ISO MPEG-4 standard
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
Video coding with optimal inter/intra-mode switching for packet loss resilience
IEEE Journal on Selected Areas in Communications
Analysis of video transmission over lossy channels
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
Power optimization of wireless media systems with space-time block codes
IEEE Transactions on Image Processing
Rate-distortion optimized hybrid error control for real-time packetized video transmission
IEEE Transactions on Image Processing
A joint source-channel distortion model for JPEG compressed images
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Rate-distortion optimized layered coding with unequal error protection for robust Internet video
IEEE Transactions on Circuits and Systems for Video Technology
Power-minimized bit allocation for video communication over wireless channels
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Unequal power allocation for JPEG transmission over MIMO systems
IEEE Transactions on Image Processing
Evaluation of temporal variation of video quality in packet loss networks
Image Communication
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Multimedia communication has become one of the main applications in commercial wireless systems. Multimedia sources, mainly consisting of digital images and videos, have high bandwidth requirements. Since bandwidth is a valuable resource, it is important that its use should be optimized for image and video communication. Therefore, interest in developing new joint source-channel coding (JSCC) methods for image and video communication is increasing. Design of any JSCC scheme requires an estimate of the distortion at different source coding rates and under different channel conditions. The common approach to obtain this estimate is via simulations or operational rate-distortion curves. These approaches, however, are computationally intensive and, hence, not feasible for real-time coding and transmission applications. A more feasible approach to estimate distortion is to develop models that predict distortion at different source coding rates and under different channel conditions. Based on this idea, we present a distortion model for estimating the distortion due to quantization and channel errors in MPEG-4 compressed video streams at different source coding rates and channel bit error rates. This model takes into account important aspects of video compression such as transform coding, motion compensation, and variable length coding. Results show that our model estimates distortion within 1.5 dB of actual simulation values in terms of peak-signal-to-noise ratio.