Error Resilience Evaluation of Approximate Storage in the Intra Prediction of VVC Decoders
Matheus Isquierdo, Renira Soares, Felipe Sampaio, Bruno Zatt, Daniel Palomino · 2022
This paper presents an error resilience evaluation of the intra prediction in VVC decoders when approximate storage is employed in the Reference Line Buffer (RLB). We present an error injection framework to simulate the use of approximate storage in the RLB buffer with commonly used Bit Error Rate (BER) values from literature for SRAM and DRAM technologies. We also perform the resilience evaluation considering different decoding configurations. Our analysis characterizes how the impacts of approximation are dependent on video content and configurations. The results show that approximate storage can be used in some of the evaluated scenarios with very low degradation on the final visual quality of the decoded video sequences.