Parity hiding for coefficients coding

Luhang Xu; Yue Yu

doi:10.1117/12.2678388

4 October 2023 Parity hiding for coefficients coding

Luhang Xu, Yue Yu

Proceedings Volume 12674, Applications of Digital Image Processing XLVI; 126740Z (2023) https://doi.org/10.1117/12.2678388
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Abstract

The Codec Working Group of Alliance for Open Media is working on creating next-generation royalty-free video coding technology beyond AV1. This paper proposes a parity hiding method to optimize the coefficients coding of transform block. The parity of quantization level at top-left position may be derived with information of other non-zero quantization levels within the same transform block. As a result, the quantization level at top-left position with hidden parity may be coded with half of its level. The proposed method has been implemented on top of a recent release of AOM reference software. Experimental results show that the proposed approach brings 0.26%/0.87%/0.85% BD-rate saving for all-intra test and 0.29%/0.70%/0.46% BD-rate saving for random-access test for Y/U/V components with marginal encoding and decoding time changes.

Conference Presentation

Citation Download Citation

Luhang Xu and Yue Yu "Parity hiding for coefficients coding", Proc. SPIE 12674, Applications of Digital Image Processing XLVI, 126740Z (4 October 2023); https://doi.org/10.1117/12.2678388

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