Scene context dependent rate control
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
On-Demand Learning for a Wireless Campus
IEEE MultiMedia
A new hybrid error concealment scheme for H.264 video transmission
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Recent advances in rate control for video coding
Image Communication
An adaptive video coding control scheme for real-time MPEG applications
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Image Processing
A motion compression/reconstruction method based on max t-norm composite fuzzy relational equations
Information Sciences: an International Journal
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We present an algorithm for joint optimization of anchor frame separation and bit allocation for motion-compensated video coders. The anchor frame separation is optimized in the sense that the distortion is minimized under a bit budget constraint. At the same time, the quantization for each frame in a group of pictures is also optimized in an operational rate distortion sense. The optimal anchor frame separation does depend on the quantization of each frame so that the two optimization problems cannot be separated. A Lagrange multiplier approach can be used to obtain the optimal solution if we assume that the rate-distortion curve is convex. Heuristic algorithms based on simulated annealing and greedy trellis selection are also presented to reduce the computational complexity