Microsoft technology licensing, llc (20240251083). CONTEXT-BASED IMAGE CODING simplified abstract
CONTEXT-BASED IMAGE CODING
Organization Name
microsoft technology licensing, llc
Inventor(s)
CONTEXT-BASED IMAGE CODING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240251083 titled 'CONTEXT-BASED IMAGE CODING
Simplified Explanation: The patent application describes a context-based image coding solution that enhances performance in terms of reconstruction quality and compression efficiency. This is achieved by extracting contextual information from a reference image to encode or decode a target image.
Key Features and Innovation:
- Obtaining a reference image of a target image
- Extracting contextual feature representation from the reference image
- Performing conditional encoding or decoding on the target image based on the contextual feature representation
Potential Applications: This technology can be applied in image compression, video streaming, virtual reality, and augmented reality systems.
Problems Solved: This technology addresses the challenge of improving reconstruction quality and compression efficiency in image coding.
Benefits:
- Enhanced performance in reconstructing images
- Improved compression efficiency
- Better utilization in various applications such as video streaming and virtual reality
Commercial Applications: The technology can be utilized in industries such as entertainment, telecommunications, and gaming for efficient image and video processing.
Prior Art: Researchers can explore prior art related to image coding, contextual feature extraction, and conditional encoding/decoding techniques.
Frequently Updated Research: Stay updated on advancements in image coding algorithms, contextual feature extraction methods, and compression techniques for continuous improvement in this technology.
Questions about Context-Based Image Coding: 1. How does this technology compare to traditional image coding methods? 2. What are the potential limitations of using contextual feature representation in image coding?
Original Abstract Submitted
according to implementations of the present disclosure, there is provided a context-based image coding solution. according to the solution, a reference image of a target image is obtained. a contextual feature representation is extracted from the reference image, the contextual feature representation characterizing contextual information associated with the target image. conditional encoding or conditional decoding is performed on the target image based on the contextual feature representation. in this way, the enhancement of the performance is achieved in terms of the reconstruction quality and the compression efficiency.