We describe a method for achieving perceptually minimal video distortion over packet-erasure networks using perceptually unequal loss protection (PULP). There are two main ingredients in the algorithm. First, a perceptual weighting scheme is employed wherein the compressed video is weighted as a function of the nonuniform distribution of retinal photoreceptors. Secondly, packets are assigned temporal importance within each group of pictures (GOP), recognizing that the severity of error propagation increases with elapsed time within a GOP. Using both frame-level perceptual importance and GOP-level hierarchical importance, the PULP algorithm seeks efficient forward error correction assignment that balances efficiency and fairness by controlling the size of identified salient region(s) relative to the channel state. PULP demonstrates robust performance and significantly improved subjective and objective visual quality in the face of burst packet losses.
|Number of pages||13|
|Journal||IEEE Transactions on Circuits and Systems for Video Technology|
|Publication status||Published - 2010 Sept|
Bibliographical noteFunding Information:
Manuscript received March 21, 2009; revised September 25, 2009; accepted January 21, 2010. Date of publication May 27, 2010; date of current version September 9, 2010. This work was supported by the Agency for Defense Development under Contract UD1000221D, Korea. This paper was recommended by Associate Editor H. Sun.
All Science Journal Classification (ASJC) codes
- Media Technology
- Electrical and Electronic Engineering