Invention Grant
- Patent Title: Cross-component linear model prediction image generation apparatus, video decoding apparatus, video coding apparatus, and prediction image generation method
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Application No.: US17413677Application Date: 2019-12-17
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Publication No.: US11451825B2Publication Date: 2022-09-20
- Inventor: Yukinobu Yasugi , Eiichi Sasaki , Tomohiro Ikai , Tomoko Aono
- Applicant: Sharp Kabushiki Kaisha , FG Innovation Company Limited
- Applicant Address: JP Sakai; HK Tuen Mun
- Assignee: Sharp Kabushiki Kaisha,FG Innovation Company Limited
- Current Assignee: Sharp Kabushiki Kaisha,FG Innovation Company Limited
- Current Assignee Address: JP Sakai; HK Tuen Mun
- Agency: Keating & Bennett, LLP
- Priority: JPJP2018-238526 20181220
- International Application: PCT/JP2019/049451 WO 20191217
- International Announcement: WO2020/129990 WO 20200625
- Main IPC: H04N19/593
- IPC: H04N19/593 ; H04N19/105 ; H04N19/186 ; H04N19/80

Abstract:
The amount of memory required for CCLM prediction is reduced. The CCLM prediction parameter derivation unit (310442) derives a scale shift value corresponding to a luma difference value, and derives a CCLM prediction parameter, by shifting, by using the scale shift value, a value obtained by multiplying a value of a table referred to with a value obtained by performing right shift of the luma difference value by the scale shift value as an index and a chroma difference value. In addition, in a case of deriving a prediction image, a bit width is reduced by adaptively deriving a shift amount of a linear prediction parameter from the chroma difference value.
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