Video Quality Assessment for Interlacing and Blocking Detection
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Solution Overview
Problem
Media sharing platforms face issues with video quality degradation due to interlacing and video blocking, leading to poor user experience as these phenomena are not effectively detected or addressed, causing frustration and discouragement among viewers.
Innovation Solution
A system and method for automatically detecting media source quality, which includes a video data receiver, a video improver to apply filters such as de-interlacing, and a video quality assessor to compare the original and modified video data, indicating improvements and issues like interlacing and blocking, thereby enhancing video presentation quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video is uploaded and transcoded without quality detection, then processing speed is maintained, but video quality deteriorates due to interlacing and blocking artifacts
Solution Approach 1:
The patent applies preliminary action by performing quality detection and applying improvement techniques (such as de-interlacing and blocking removal) to video data before it is served to users. The system proactively identifies and corrects quality issues in uploaded videos during the transcoding process, ensuring that degraded video artifacts are eliminated in advance rather than reacting to user complaints later.
2Reliability
If manual quality detection is performed on uploaded videos, then video quality improves, but system complexity and processing time increase
Solution Approach 1:
The patent implements self-service by enabling the video processing system to automatically detect quality issues and apply corrections without requiring manual intervention. The quality detection and improvement processes are automated through algorithms that analyze video data for interlacing and blocking artifacts, then apply appropriate processing techniques autonomously, reducing the need for complex manual quality control workflows.
3Reliability
If video improvement techniques are applied to all uploaded videos, then video quality improves, but processing resources and time consumption increase
Solution Approach 1:
The patent applies local quality by selectively processing only the portions of video data that contain quality issues. Rather than uniformly processing entire videos, the system identifies specific regions or segments affected by interlacing or blocking artifacts and applies improvement techniques only to those affected areas, thereby reducing overall processing time while maintaining quality improvements where needed.
4Speed
If interlaced video is displayed without detection, then display speed is maintained, but user experience deteriorates due to combing artifacts
Solution Approach 1:
The patent converts the harmful effect of interlacing into a benefit by detecting interlaced video and applying de-interlacing techniques that transform the problematic alternating field structure into a progressive scan format. This conversion eliminates combing artifacts and interline twitter while maintaining smooth playback, turning the originally harmful interlaced structure into a visually beneficial progressive display.
Data Source
AI summary
A system and method for detecting media source quality are provided. The system includes a data store comprising a computer readable medium storing a program of instructions for the detection of media source quality; a processor that executes the program of instructions; a video data receiver to receive video raw data, the video raw data corresponding to an uploaded and transcoded video; a video improver to apply a video improvement technique to the received video raw data to produce a modified version of the video raw data; and a video quality assessor to compare the received video raw data and the modified version of the video raw data, and based on the modified version of the video raw data improving on a factor associated with the video improvement technique, the video quality assessor indicates a phenomenon affecting the quality of the uploaded and transcoded video.


