18525793. IMAGE DATA ENCODING/DECODING METHOD AND APPARATUS simplified abstract (B1 INSTITUTE OF IMAGE TECHNOLOGY, INC.)
Contents
- 1 IMAGE DATA ENCODING/DECODING METHOD AND APPARATUS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGE DATA ENCODING/DECODING METHOD AND APPARATUS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
IMAGE DATA ENCODING/DECODING METHOD AND APPARATUS
Organization Name
B1 INSTITUTE OF IMAGE TECHNOLOGY, INC.
Inventor(s)
IMAGE DATA ENCODING/DECODING METHOD AND APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18525793 titled 'IMAGE DATA ENCODING/DECODING METHOD AND APPARATUS
Simplified Explanation
The method described in the patent application involves decoding a 360-degree image by generating a prediction image based on syntax information from the received bitstream, combining it with a residual image, and reconstructing the decoded image into a 360-degree image. The prediction image generation process involves checking prediction mode accuracy, determining if it corresponds to most probable mode (MPM) information, and reconfiguring the MPM information if needed.
- Syntax information used for generating prediction image
- Prediction mode accuracy and MPM information
- Reconfiguring MPM information based on prediction mode accuracy
Potential Applications
The technology described in this patent application could be applied in the fields of virtual reality, augmented reality, panoramic photography, and video streaming services.
Problems Solved
This technology solves the problem of efficiently decoding and reconstructing 360-degree images by utilizing prediction images and residual images, improving image quality and reducing data transmission requirements.
Benefits
The benefits of this technology include enhanced image quality, reduced data transmission costs, improved decoding efficiency, and better user experience in viewing 360-degree images.
Potential Commercial Applications
Potential commercial applications of this technology include virtual reality content creation, panoramic video streaming services, 360-degree camera technology, and image processing software for 360-degree images.
Possible Prior Art
One possible prior art for this technology could be existing methods for encoding and decoding panoramic images or videos, as well as techniques for image prediction and reconstruction in video compression standards like H.264 or H.265.
Unanswered Questions
How does this technology compare to existing methods for decoding 360-degree images?
This article does not provide a direct comparison with existing decoding methods for 360-degree images, so it is unclear how this technology improves upon or differs from current practices.
What are the specific technical requirements for implementing this decoding method?
The article does not detail the specific technical specifications or hardware/software requirements needed to implement this decoding method, leaving potential users with uncertainties about the practical aspects of adopting this technology.
Original Abstract Submitted
A method for decoding a 360-degree image includes: receiving a bitstream obtained by encoding a 360-degree image; generating a prediction image by making reference to syntax information obtained from the received bitstream; combining the generated prediction image with a residual image obtained by dequantizing and inverse-transforming the bitstream, so as to obtain a decoded image; and reconstructing the decoded image into a 360-degree image according to a projection format. Here, generating the prediction image includes: checking, from the syntax information, prediction mode accuracy for a current block to be decoded; determining whether the checked prediction mode accuracy corresponds to most probable mode (MPM) information obtained from the syntax information; and when the checked prediction mode accuracy does not correspond to the MPM information, reconfiguring the MPM information according to the prediction mode accuracy for the current block.
