Integrated Upscaler And LCEVC Encoder For Redundant Hardware Reduction
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Solution Overview
Problem
Existing video encoding techniques face inefficiencies due to redundancies in processing high-resolution video using low complexity enhancement video coding (LCEVC) encoders, which can be optimized by eliminating redundant components such as downscalers and integrating upscalers within the encoding process.
Innovation Solution
The integration of upscalers within the LCEVC encoder process eliminates redundant downscalers, optimizing the encoding process by directly upsampling low-resolution encoded video, thereby reducing hardware requirements and improving processing performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If downscalers are used in the LCEVC encoder to process high-resolution video, then the encoding can be simplified by working with lower-resolution data, but redundant hardware components and processing steps are introduced
Solution Approach 1:
The patent removes downscalers from the LCEVC encoder architecture, extracting only the necessary upscaling function while eliminating redundant downscaling components. This reduces hardware complexity by eliminating unnecessary processing stages that would convert high-resolution video to lower resolution and then back again.
Solution Approach 2:
The patent integrates the upscaler directly into the LCEVC encoder, merging previously separate processing functions into a unified architecture. This combination eliminates the need for separate downscaler components and reduces overall system redundancy while maintaining encoding effectiveness.
2Reliability
If traditional LCEVC encoding processes are used with multiple processing stages, then comprehensive video encoding is achieved, but processing time and computational overhead increase
Solution Approach 1:
The patent performs upscaling of the reference video before the encoding process begins, preparing the data in advance at the optimal resolution. This preliminary action eliminates the need for time-consuming downscaling and re-encoding operations during the main processing stage, reducing overall processing time while maintaining encoding quality.
Solution Approach 2:
The patent maintains continuous processing by keeping video data at high resolution throughout the encoding pipeline, eliminating interruptions caused by resolution conversions. The upscaler ensures that all subsequent encoding operations work with optimally sized data without requiring pause for format conversions, enabling uninterrupted processing flow.
Data Source
AI summary
A disclosed technique includes obtaining input video at a first resolution; upscaling the input video to a second resolution that is higher than the first resolution, using an encoder having a low complexity enhancement video coding encoder that omits at least one component, to generate upscaled video; and encoding the upscaled video using the encoder to generate encoded output video.


