Compressed Video Quality Evaluation Without Uncompressed Access
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Solution Overview
Problem
Current techniques for evaluating video quality of compressed motion videos require access to uncompressed versions, which is often not available due to intellectual property protection issues, limiting the ability to balance video quality and bitrate in packet-based networks.
Innovation Solution
A method that combines a metric of image quality based on temporal complexity with opinion metrics from viewing devices, using non-linear fitting techniques to derive coefficients that allow for the selection of compressed frames without uncompressed data, considering display size, resolution, and viewing distance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If lossy video compression techniques are used to reduce bitrate, then transmission efficiency is improved, but video quality deteriorates
Solution Approach 1:
The patent applies partial action by selectively applying different compression strengths to different regions or frames of video content. By identifying regions with lower visual importance or temporal redundancy, the system can apply more aggressive compression to those specific areas while maintaining higher quality in critical regions, thus achieving overall bitrate reduction without uniform quality loss across the entire video stream.
Solution Approach 2:
The patent dynamically adjusts compression parameters such as quantization levels, frame rates, and resolution based on network conditions, content characteristics, and device capabilities. By changing these parameters adaptively, the system optimizes the balance between bitrate and video quality, allowing transmission efficiency to improve when conditions permit while maintaining acceptable quality under constrained bandwidth.
2Reliability
If video quality is increased to improve viewing experience, then customer satisfaction is improved, but required bitrate increases
Solution Approach 1:
The patent implements local quality enhancement by identifying and prioritizing compression of specific video regions based on their visual importance. Areas with high motion, low detail, or lower perceptual significance undergo more aggressive compression, while critical regions maintain higher quality. This selective approach allows overall bitrate reduction while preserving customer satisfaction in visually important areas.
Solution Approach 2:
The patent performs preliminary analysis of video content to identify temporal and spatial redundancies before compression. By pre-processing the video to detect stationary regions, low-motion areas, and redundant frames, the system can apply optimized compression strategies in advance, achieving efficient bitrate usage while maintaining quality where it matters most for customer satisfaction.
3Measurement precision
If access to uncompressed video data is required for quality evaluation, then evaluation accuracy is improved, but system complexity and data requirements increase
Solution Approach 1:
The patent introduces an intermediary quality evaluation mechanism that operates on compressed video data without requiring access to the original uncompressed source. By using perceptual models and statistical analysis of the compressed stream itself, the system estimates video quality metrics directly from the encoded data, eliminating the need for complex data access infrastructure and uncompressed video storage while maintaining reasonable evaluation accuracy.
Solution Approach 2:
The patent creates simplified representations or models of the compressed video content that capture essential quality characteristics without requiring the full uncompressed original. By working with these compressed representations and using psychovisual models to predict perceived quality, the system achieves practical quality evaluation accuracy while dramatically reducing data access complexity and storage requirements.
Data Source
AI summary
Various embodiments are generally directed to techniques for evaluating video quality of compressed versions of a motion video to select compressed frames of that motion video without access to an uncompressed version. A device to transmit motion video includes a device scoring component to select a set of coefficients from a vector correlating temporal complexity values to sets of coefficients based on a temporal complexity of a first compressed frame of a first compressed video data, the vector derived from opinion scores associated with at least one viewing characteristic of a viewing device; and a selection component to select either the first compressed frame or a second compressed frame of a second compressed data to transmit to the viewing device based on a metric of video quality derived from the selected set of coefficients, the first and second compressed data representing a motion video. Other embodiments are described and claimed.