Research Article

Transformer-Based Data-Driven Video Coding Acceleration for Industrial Applications

Table 3

Bit rate loss and time saving comparison between the proposed algorithm and state of the art

ClassSequenceCNNFAFICUSABTFAProposed
BD-rate (%)TS (%)BD-rate (%)TS (%)BD-rate (%)TS (%)BD-rate (%)TS (%)

APeopleOnStreet3.9755.592.6345.001.1638.064.0359.04
Average3.9755.592.6345.0015.4138.064.0359.04

BKimono2.3872.720.4216.273.3259.236.5075.35
Cactus6.0262.982.4437.611.1144.954.7066.02
BasketballDrive6.0269.511.4627.962.4649.095.4371.68
BQTerrace4.8257.892.4141.101.0946.882.6658.07
Average4.8165.781.6830.742.0050.044.8267.78

CBQMall8.0852.144.3344.720.9741.524.4456.98
PartyScene9.4558.754.6646.061.3637.681.4944.07
RaceHorses4.4258.190.6047.492.7058.22
Average7.3256.364.5045.390.9842.232.8853.09

DBasketballPass8.4064.023.3441.480.6736.342.3248.14
BlowingBubbles8.3360.783.0943.450.1425.950.9233.65
RaceHorses4.9557.290.7333.761.8842.56
Average7.2360.703.2242.470.5132.021.7141.45

EJohnny7.9666.552.2338.562.3863.137.4573.12
KristenAndSara5.4864.723.0743.192.0958.576.1971.87
Average6.7265.642.6540.882.2460.856.8272.49

Overall average6.0160.812.9340.894.2344.643.9058.77