Refined Reference Frames for Video Encoding Blur Handling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video compression techniques face inefficiencies in encoding blurred regions of image frames, as they often resort to intra-frame coding which fails to leverage information from neighboring frames, leading to decreased video quality and increased data transmission.
Innovation Solution
Generating refined reference frames by applying blur parameters to the original reference frames, allowing for inter-frame encoding that compares the image frame with both the original and refined reference frames to determine the most cost-effective encoding method, thereby avoiding intra-frame coding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If intra-frame coding is used for blurred regions, then encoding accuracy is improved, but data transmission volume increases and encoding efficiency decreases
Solution Approach 1:
The patent applies blur filtering to reference frames in advance to generate refined reference frames before encoding. This preliminary action ensures that when inter-frame prediction is performed on blurred regions, the reference data already matches the blur characteristics, enabling accurate prediction without requiring excessive transmission data
Solution Approach 2:
The patent changes the blur parameter of reference frames by applying blur filtering to generate refined reference frames. This parameter transformation allows the reference frames to match the blur characteristics of the current frame, enabling effective inter-frame prediction for blurred regions and reducing the data transmission volume compared to intra-frame coding
2Measurement precision
If intra-frame coding is used for blurred regions, then encoding precision is improved, but encoding speed worsens
Solution Approach 1:
Blur filtering is applied to reference frames in advance to generate refined reference frames. This preliminary processing enables the encoder to use inter-frame prediction for blurred regions without sacrificing precision, thereby maintaining higher encoding speed compared to intra-frame coding
3Quantity of substance
If inter-frame prediction is used for blurred regions, then data transmission is reduced, but encoding accuracy deteriorates
Solution Approach 1:
The patent transforms the blur parameter of reference frames by applying blur filtering to generate refined reference frames. This parameter change ensures that the reference frames have matching blur characteristics with the current frame, enabling accurate inter-frame prediction and maintaining encoding accuracy while reducing data transmission
Solution Approach 2:
The patent creates refined reference frames by applying blur filtering to original reference frames. This copying process with parameter transformation produces reference data that accurately represents the blur characteristics, enabling effective inter-frame prediction without losing encoding accuracy
Data Source
AI summary
Methods and apparatus of generating a refined reference frame for inter-frame encoding by applying blur parameters to allow encoding of image frames having blurred regions are presented herein. The methods and apparatus may identify a blurred region of an image frame by comparing the image frame with a reference frame, generate a refined reference frame by applying the blur parameter indicative of the blurred region to the reference frame, determine whether to use one of the reference frame and refined reference frame to encode the image frame, and encode the image frame using the refined reference frame when determined to use the refined reference frame.