Video Compression Using Edit Track Motion Vectors
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Solution Overview
Problem
Existing video compression methods, such as those using the MPEG-2 standard, face inefficiencies in processing time and quality when compressing video data with special effects, often requiring iterative algorithm adjustments and resulting in poorer quality compressed video.
Innovation Solution
A method that accesses the edit track data during compression to generate instructions for compressing video data, specifically using edit track information to optimize the compression process by adjusting quantization and predictive vectors, thereby reducing processing time and improving video quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If iterative compression algorithms are used to achieve acceptable error rates, then video compression quality is improved, but processing time increases significantly
Solution Approach 1:
The patent applies preliminary action by performing motion estimation and creating motion vectors during the video editing phase, storing this information in an edit decision list (EDL). During compression, this pre-computed motion data is directly utilized, eliminating the need for repeated motion estimation iterations and significantly reducing processing time while maintaining compression quality.
Solution Approach 2:
The patent introduces an intermediary component - the edit decision list (EDL) containing pre-computed motion vectors and edit information - that bridges the video editing and compression processes. This intermediary provides the compression algorithm with ready-made motion data, avoiding iterative trial-and-error and reducing processing time while preserving video quality.
2Manufacturing precision
If compression algorithms are adjusted iteratively to reduce error, then video quality is improved, but the number of processing steps increases
Solution Approach 1:
Motion estimation and vector calculation are performed in advance during video editing, storing results in the EDL. This preliminary computation simplifies the compression process by providing ready-made motion data, reducing the number of processing steps and algorithm adjustments needed during actual compression while maintaining video quality.
Solution Approach 2:
The EDL acts as an intermediary that provides pre-computed motion information to the compression process, eliminating the need for complex iterative algorithm adjustments. This intermediary structure reduces process complexity by supplying direct, ready-to-use motion vectors instead of requiring repeated estimation and adjustment cycles.
3Productivity
If standard compression processes are used without edit track integration, then processing speed is maintained, but video quality deteriorates
Solution Approach 1:
The patent merges the video compression process with edit track data by integrating motion vectors and edit information from the EDL directly into the compression algorithm. This combination allows the system to maintain high processing speed while improving video quality, as the edit track provides accurate motion data without requiring iterative adjustments.
Solution Approach 2:
The edit track serves as an intermediary that provides accurate motion information to the compression process, enabling quality improvement without sacrificing speed. By utilizing this intermediary data source, the system achieves both fast processing and high quality output simultaneously.
Data Source
AI summary
A computer readable medium for compressing video data with an edit track is provided. Generally, computer readable code for compressing video data is provided. The computer readable code for compressing comprises computer readable code for accessing the edit track to use data in the edit track during the compressing the video data.