Parameter Optimization of RobustLow Bit Rate Video

Parameter Optimization of Robust Low Bit Rate Video Coders Sangyoun Lee and Vijay K. Madisetti Digital Signal Processing Laboratory School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta, GA 30332-0250, U.S.A Abstract|Most standards provide a generalized syntax and semantics framework for video coders, leaving the selection and optimization of the right parameter set (and lookup tables) to the implementation. The choice of the right parameter set that is suitable for a rich enough class of input sequences is, however, quite di cult. This di culty is particularly ampli ed in the low bit rate video coding arena, where robust parameter sets are very important. We propose that robust parameter estimation, using the Taguchi methods, when applied to low bit rate video coding allows e ective (near optimal) performance over a wide variety of input data streams. A number of experimental results con rm the improvement (via robustness) visa-vis conventional parameter estimation methods and these methods promise an e cient solution to the e cient design of parameter sets that support standards.