TW202145792A - 使用深度學習的並行化的速率失真最佳化量化 - Google Patents

使用深度學習的並行化的速率失真最佳化量化 Download PDF

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TW202145792A
TW202145792A TW110113490A TW110113490A TW202145792A TW 202145792 A TW202145792 A TW 202145792A TW 110113490 A TW110113490 A TW 110113490A TW 110113490 A TW110113490 A TW 110113490A TW 202145792 A TW202145792 A TW 202145792A
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transform coefficient
coefficients
determining
block
video
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戴納 凱恩法
奧克喬里斯 維格斯
阿默 塞德
塔可塞巴斯蒂安 柯恩
瑞札 普瑞札
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美商高通公司
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    • H04N19/157Assigned coding mode, i.e. the coding mode being predefined or preselected to be further used for selection of another element or parameter
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TW110113490A 2020-04-17 2021-04-15 使用深度學習的並行化的速率失真最佳化量化 TW202145792A (zh)

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US202063011685P 2020-04-17 2020-04-17
US63/011,685 2020-04-17
US202063034618P 2020-06-04 2020-06-04
US63/034,618 2020-06-04
US17/070,589 2020-10-14
US17/070,589 US12058348B2 (en) 2020-04-17 2020-10-14 Parallelized rate-distortion optimized quantization using deep learning

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CN (1) CN115336266B (https=)
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WO2021211270A1 (en) 2021-10-21
KR20230007313A (ko) 2023-01-12
EP4136837A1 (en) 2023-02-22
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