Invention Grant
- Patent Title: Neural network based image set compression
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Application No.: US16835724Application Date: 2020-03-31
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Publication No.: US11496769B2Publication Date: 2022-11-08
- Inventor: Shuangfei Zhai , Joshua M. Susskind
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Agency: BakerHostetler
- Main IPC: H04N19/00
- IPC: H04N19/00 ; H04N19/625 ; G06N20/00

Abstract:
Techniques for coding sets of images with neural networks include transforming a first image of a set of images into coefficients with an encoder neural network, encoding a group of the coefficients as an integer patch index into coding table of table entries each having vectors of coefficients, and storing a collection of patch indices as a first coded image. The encoder neural network may be configured with encoder weights determined by jointly with corresponding decoder weights of a decoder neural network on the set of images.
Public/Granted literature
- US20210099731A1 NEURAL NETWORK BASED IMAGE SET COMPRESSION Public/Granted day:2021-04-01
Information query