Adaptive Video Encoding for Low Latency Streaming
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing real-time video streaming technologies face challenges in efficiently adapting encoding based on network bandwidth and image quality, leading to unnecessary image quality reduction during encoding.
Innovation Solution
An adaptive encoding method that quickly detects scene transitions in videos, predicts the image quality of current frames based on frame information from similar scenes, and determines preprocessing specifications accordingly to optimize encoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time encoding adjusts image quality and frame rate based on network bandwidth conditions, then streaming efficiency is improved, but unnecessary image quality reduction occurs when video characteristics do not require it
Solution Approach 1:
The patent applies local quality by differentiating encoding strategies based on local video characteristics (scene transitions, motion activity, complexity). Instead of uniformly reducing image quality across all frames, the system analyzes each frame's specific characteristics and applies appropriate preprocessing only where necessary, thereby maintaining high image quality in regions where it is needed while still adapting to network conditions.
Solution Approach 2:
The patent implements dynamics by making the encoding process adaptive and variable rather than static. The preprocessing specification is dynamically adjusted based on real-time analysis of video frame characteristics (scene transitions, motion, complexity) combined with network bandwidth conditions. This allows the system to optimize between streaming efficiency and image quality on a frame-by-frame basis rather than applying fixed compression ratios.
2Reliability
If preprocessing is applied to all frames to adapt to network bandwidth, then streaming stability is improved, but processing time and complexity increase
Solution Approach 1:
The patent applies segmentation by dividing the video stream into distinct segments based on scene transitions and characteristic changes. Instead of processing all frames uniformly, the system identifies scene boundaries and applies different preprocessing strategies to different segments. This reduces overall processing time by focusing intensive analysis only at segment boundaries while using simpler processing for intermediate frames.
Solution Approach 2:
The patent implements preliminary action by performing scene transition detection and characteristic analysis on key frames (I-frames or scene change points) in advance. Once a scene is identified, the preprocessing specification is determined preliminarily for that entire scene segment, avoiding repeated analysis of every frame. This reduces real-time processing requirements while maintaining streaming stability.
3Measurement precision
If scene transition detection is performed using multiple partial frames, then detection accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent applies partial action by using only a selected subset of partial frames (e.g., key regions or representative samples) rather than analyzing all pixels in all frames for scene transition detection. The system strategically chooses which partial frames to compare, achieving sufficient detection accuracy without the computational burden of full-frame analysis of every frame in the sequence.
Data Source
AI summary
A method, performed by an electronic device, for adaptively encoding a video, including: identifying a network bandwidth; determining whether a scene transition occurs in a first frame, based a plurality of partial frames corresponding to the first frame and at least one second frame reproduced before the first frame; selecting a preprocessing specification corresponding to the first frame, based on the network bandwidth and a result of the determining; preprocessing the first frame based on the preprocessing specification; and encoding the first frame.