TY - GEN
T1 - A new video compression scheme combining conditional replenishment and address event representation
AU - Hu, Harry L.
AU - Bermak, Amine
AU - Martinez, Dominique
PY - 2007
Y1 - 2007
N2 - A novel video compression scheme is presented in this paper. This algorithm is implemented based on a conditional replenishment Address Event Representation (AER) imager, where image signals are compressed on the sensor level by employing the conditional replenishment algorithm. The intensity value of each pixel is compared to the last replenished frame. If the magnitude of the difference exceeds a certain threshold, the pixel value is quantized by 1-bit Fast Boundary Adaptation Rule (FBAR), while the address of the pixel is located and read-out by the AER method. Simulation result shows that a compression ratio of 11.73 can be achieved while obtaining a PSNR value of 35.22dB. Bandwidth requirement is reduced since pixel intensity levels are ordered before applying 1-bit adaptive quantization. Simulation was also performed on the raster scanning read-out case for the sake of comparison.
AB - A novel video compression scheme is presented in this paper. This algorithm is implemented based on a conditional replenishment Address Event Representation (AER) imager, where image signals are compressed on the sensor level by employing the conditional replenishment algorithm. The intensity value of each pixel is compared to the last replenished frame. If the magnitude of the difference exceeds a certain threshold, the pixel value is quantized by 1-bit Fast Boundary Adaptation Rule (FBAR), while the address of the pixel is located and read-out by the AER method. Simulation result shows that a compression ratio of 11.73 can be achieved while obtaining a PSNR value of 35.22dB. Bandwidth requirement is reduced since pixel intensity levels are ordered before applying 1-bit adaptive quantization. Simulation was also performed on the raster scanning read-out case for the sake of comparison.
KW - Adaptive quantization
KW - Address event representation
KW - Conditional replenishment
KW - Video compression
UR - https://www.scopus.com/pages/publications/47949093026
U2 - 10.1109/SIPS.2007.4387612
DO - 10.1109/SIPS.2007.4387612
M3 - Conference contribution
AN - SCOPUS:47949093026
SN - 1424412226
SN - 9781424412228
T3 - IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
SP - 573
EP - 578
BT - 2007 IEEE Workshop on Signal Processing Systems, SiPS 2007, Proceedings
T2 - 2007 IEEE Workshop on Signal Processing Systems, SiPS 2007
Y2 - 17 October 2007 through 19 October 2007
ER -