Video Encoding Sub-Block Resolution Mapping
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Solution Overview
Problem
Existing video encoding and decoding methods require significant memory and bandwidth, with room for optimization to reduce these resources while maintaining encoding quality.
Innovation Solution
A video encoding method that divides non-key frames into sub-image blocks based on object importance levels, adjusts resolutions according to a pre-stored correlation, and encodes each block at different code rates, while a corresponding video decoding method reconstructs frames to the target highest resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video encoding is performed using conventional methods, then encoding quality is maintained, but memory and bandwidth usage is high
Solution Approach 1:
The patent applies local quality by dividing the video frame into multiple sub-image blocks and assigning different importance levels to each block based on object information. Sub-image blocks containing important objects are encoded with higher resolution and quality, while blocks with less important content use lower resolution. This selective encoding approach maintains overall encoding quality while significantly reducing the total amount of data that needs to be stored and transmitted.
Solution Approach 2:
The patent segments the video frame into multiple sub-image blocks, each processed independently with resolution conversion applied based on its specific importance level. This segmentation allows different parts of the video to be encoded at different quality levels, optimizing the balance between encoding quality and resource consumption by treating each region according to its specific requirements rather than applying a uniform encoding standard.
2Reliability
If resolution conversion is applied to all sub-image blocks, then encoding quality is improved, but computational complexity and processing time increases
Solution Approach 1:
The patent determines importance levels for each sub-image block based on object information and applies resolution conversion selectively only to blocks that require higher quality. Blocks with lower importance levels skip the computationally intensive resolution conversion process. This approach maintains encoding quality where necessary while significantly reducing overall computational complexity by avoiding unnecessary processing in less critical regions.
3Reliability
If uniform high resolution is used for all video frames, then encoding quality is maximized, but bandwidth and storage requirements increase significantly
Solution Approach 1:
The patent assigns different importance levels to different sub-image blocks within each video frame based on the presence and significance of objects. Sub-image blocks containing important objects are encoded at higher resolutions, while blocks with less important content use lower resolutions. This creates a heterogeneous encoding scheme where quality varies locally across the frame, maximizing perceived quality for important content while minimizing overall bandwidth and storage requirements.
Solution Approach 2:
The patent segments each video frame into multiple sub-image blocks that are encoded independently at different resolution levels. This segmentation enables the system to apply high resolution encoding only to specific regions containing important objects rather than uniformly encoding the entire frame, thereby reducing total data volume for storage and transmission while maintaining quality where it matters most.
Data Source
AI summary
A video encoding/decoding method and apparatus, a computer device, and a storage medium. The method comprises: for each non-key frame in a video frame sequence, dividing a current non-key frame into a plurality of sub-image blocks according to information of an object in the current non-key image, and determining an importance level of each sub-image block; according to a pre-stored first correlation between different importance levels and different resolutions, performing conversion to make each sub-image block in each non-key frame have a resolution corresponding to the importance level of the sub-image block, wherein in the first correlation, a higher importance level corresponds to a higher resolution, and the highest importance level corresponds to a target highest resolution; and performing video encoding on the video frame sequence to obtain encoded video data. By means of the method, memory and bandwidth occupied by a video can be reduced.