Video Compression with Integrated Picture Rate Up-Conversion
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Solution Overview
Problem
Legacy video compression systems struggle to optimally display low picture-rate videos on modern display screens due to bandwidth limitations and noise corruption, often resulting in artifacts from inaccurate noise characterization, especially during scenes with motion.
Innovation Solution
A system and method for video compression with integrated picture rate up-conversion (PRUC) that generates and encodes PRUC data to enable the generation of interpolated pictures, improving picture rate and reducing noise artifacts by embedding PRUC data within the encoded video stream, allowing for accurate noise reduction and higher picture rate display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video compression removes pictures to reduce bit-rate for bandwidth limitations, then channel capacity constraints are satisfied, but picture rate decreases and interpolated pictures are needed
Solution Approach 1:
The encoder pre-calculates and embeds motion vectors and interpolation data into the compressed video stream before transmission. This preliminary action enables the decoder to generate interpolated pictures locally without requiring additional bandwidth, thus maintaining both low bit-rate and high picture rate capability
Solution Approach 2:
Motion vectors serve as an intermediary data structure that bridges the gap between low picture-rate source video and high picture-rate display requirements. By embedding these motion vectors in the compressed stream, the system enables intermediate frame generation at the decoder side, resolving the contradiction between bandwidth constraints and display refresh rates
2Object-affected harmful factors
If noise filters are applied to reduce noise in video, then visual quality improves, but artifacts are introduced during motion scenes due to inaccurate noise characterization
Solution Approach 1:
The noise reduction filter dynamically adapts its characteristics based on motion detection. When motion is detected in a scene, the filter automatically adjusts its parameters or disables itself to prevent artifacts, while applying stronger filtering in static scenes where noise is more problematic. This dynamic behavior resolves the contradiction between noise reduction and artifact prevention
Data Source
AI summary
Certain aspects of a method and system for video compression with integrated picture rate up-conversion (PRUC) may include generating picture rate up-conversion (PRUC) data from received video data while the received video data is being encoded. The generated PRUC data may be encoded and communicated to a decoder in order to enable generation of a plurality of interpolated pictures. The generated encoded PRUC data may be communicated via a sideband to the decoder or by embedding the generated encoded PRUC data within the encoded received video data prior to the communication to the decoder.