Video Coding Search Range Restriction for Compression Efficiency
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Solution Overview
Problem
Current video coding systems face challenges in delivering high-quality video across a wide range of devices with different sizes, resolutions, and connectivity, as they require additional bandwidth and improved compression to accommodate varying device capabilities, which existing technologies have not adequately addressed.
Innovation Solution
A video coding system that generates a reference coding unit and an intra copy motion vector within a restricted search range, excluding upper coding tree units, to create a current coding unit and video bitstream for efficient decoding and display on diverse devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video coding systems use larger search ranges for motion vectors to improve compression accuracy, then prediction precision improves, but computational complexity and processing time increase
Solution Approach 1:
The search range is segmented into multiple regions (first search range and second search range) with different sizes. The encoder selectively applies different search range sizes to different coding units based on their characteristics, thereby reducing overall computational complexity while maintaining prediction precision where needed.
Solution Approach 2:
Different search range sizes are applied to different regions of the video frame based on local characteristics. Regions with high motion complexity or important visual content use larger search ranges for better precision, while regions with simple motion use smaller search ranges to reduce complexity.
2Productivity
If video coding systems increase compression ratios to reduce bandwidth requirements, then transmission efficiency improves, but video quality deteriorates
Solution Approach 1:
The encoder dynamically adjusts the search range size and compression parameters based on local video content characteristics, motion complexity, and rate-distortion considerations. This allows the system to achieve higher effective compression ratios in suitable regions while maintaining quality in important regions.
3Ease of operation
If video coding systems process entire frames uniformly to simplify decoding, then decoding complexity reduces, but compression efficiency decreases due to redundancy
Solution Approach 1:
The video frame is segmented into multiple coding units with different properties. Each coding unit can have its own motion vector search range and prediction parameters, allowing the encoder to eliminate redundancy locally while keeping the overall decoding process manageable through standardized syntax.
Data Source
AI summary
A video coding system, and a method of operation thereof, includes: a source input module for receiving a frame from a video source; and a picture process module, coupled to the source input module, for generating a reference coding unit in the frame; for generating an intra copy motion vector pointing to the reference coding unit within a search range, wherein the search range does not include an upper coding tree unit of the frame; for generating a current coding unit based on the intra copy motion vector; and for generating a video bitstream based on the current coding unit for a video decoder to receive and decode for displaying on a device.