Invention Grant
- Patent Title: Deep learning based imaged partitioning for video compression
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Application No.: US17046259Application Date: 2019-04-09
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Publication No.: US11128864B2Publication Date: 2021-09-21
- Inventor: Franck Galpin , Fabien Racape , Philippe Bordes
- Applicant: InterDigital VC Holdings, Inc.
- Applicant Address: US DE Wilmington
- Assignee: InterDigital VC Holdings, Inc.
- Current Assignee: InterDigital VC Holdings, Inc.
- Current Assignee Address: US DE Wilmington
- Agency: Condo Roccia Koptiw LLP
- Priority: EP18305422 20180410
- International Application: PCT/US2019/026438 WO 20190409
- International Announcement: WO2019/199716 WO 20191017
- Main IPC: H04N19/119
- IPC: H04N19/119 ; H04N19/105 ; H04N19/159 ; H04N19/176 ; H04N19/52 ; G06N3/04

Abstract:
A block of video data is split using one or more of several possible partition operations by using the partitioning choices obtained through use of a deep learning-based image partitioning. In at least one embodiment, the block is split in one or more splitting operations using a convolutional neural network. In another embodiment, inputs to the convolutional neural network come from motion vector fields and corresponding residuals. Methods, apparatus, and signal embodiments are provided for encoding.
Public/Granted literature
- US20210136371A1 DEEP LEARNING BASED IMAGED PARTITIONING FOR VIDEO COMPRESSION Public/Granted day:2021-05-06
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