JP2017532858A5 - - Google Patents

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JP2017532858A5
JP2017532858A5 JP2017513750A JP2017513750A JP2017532858A5 JP 2017532858 A5 JP2017532858 A5 JP 2017532858A5 JP 2017513750 A JP2017513750 A JP 2017513750A JP 2017513750 A JP2017513750 A JP 2017513750A JP 2017532858 A5 JP2017532858 A5 JP 2017532858A5
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Japan
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block
frame
quantization parameter
tcsf
motion vector
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JP2017513750A
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JP2017532858A (ja
JP6698077B2 (ja
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Priority claimed from US14/532,947 external-priority patent/US9621917B2/en
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Priority claimed from PCT/US2015/048353 external-priority patent/WO2016040116A1/en
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Publication of JP2017532858A5 publication Critical patent/JP2017532858A5/ja
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JP2017513750A 2014-09-11 2015-09-03 モデルベースの映像符号化用の知覚的最適化 Active JP6698077B2 (ja)

Applications Claiming Priority (9)

Application Number Priority Date Filing Date Title
US201462049342P 2014-09-11 2014-09-11
US62/049,342 2014-09-11
US14/532,947 2014-11-04
US14/532,947 US9621917B2 (en) 2014-03-10 2014-11-04 Continuous block tracking for temporal prediction in video encoding
US201462078181P 2014-11-11 2014-11-11
US62/078,181 2014-11-11
US201562158523P 2015-05-07 2015-05-07
US62/158,523 2015-05-07
PCT/US2015/048353 WO2016040116A1 (en) 2014-09-11 2015-09-03 Perceptual optimization for model-based video encoding

Publications (3)

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JP2017532858A JP2017532858A (ja) 2017-11-02
JP2017532858A5 true JP2017532858A5 (https=) 2018-10-11
JP6698077B2 JP6698077B2 (ja) 2020-05-27

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EP (1) EP3175618A1 (https=)
JP (1) JP6698077B2 (https=)
CN (1) CN106688232A (https=)
CA (1) CA2960617A1 (https=)
WO (1) WO2016040116A1 (https=)

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CN109982082B (zh) * 2019-05-05 2022-11-15 山东大学 一种基于局部纹理特性的hevc多失真准则率失真优化方法
CN111882564A (zh) * 2020-07-27 2020-11-03 山东大学 一种超高清医学病理图像的压缩处理方法
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