Video Encoding Bit Rate Allocation for Specialized Construct Regions
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Solution Overview
Problem
Existing video encoding methods degrade the quality of special enhancements, such as text and images, during compression, making it difficult for viewers to properly see or read them, especially when videos are encoded and compressed multiple times for streaming or sharing.
Innovation Solution
The method involves receiving data about specialized constructs from a client device separately from the video, identifying regions of interest where these constructs are applied, and prioritizing bit rate allocation for these regions during server-side encoding to maintain and enhance their quality, thereby preventing loss due to client-side compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If video is encoded and compressed multiple times for streaming or sharing, then the video can be transmitted and distributed efficiently, but the quality of special enhancements such as text and images degrades
Solution Approach 1:
The patent applies different encoding priorities to different regions of the video frame. Regions containing specialized constructs (text, images, graphics) are identified and allocated higher bit rates than standard video regions. This local quality differentiation ensures that enhancements maintain their visual fidelity while allowing overall video compression for efficient transmission.
Solution Approach 2:
The system performs preliminary detection and identification of specialized constructs in the video before the encoding process begins. By pre-identifying regions containing text, images, or graphics and their spatial locations, the encoding system can proactively allocate appropriate bit rates to these regions, preventing quality degradation before it occurs during compression.
2Quantity of substance
If bit rate is reduced for compression, then file size decreases for easier sharing, but the clarity of text and specialized constructs is lost
Solution Approach 1:
The patent implements region-specific bit rate allocation where specialized construct regions receive higher bit rates compared to standard video regions. This allows the overall file size to be reduced through compression while ensuring that critical text and graphical elements maintain sufficient clarity and readability.
Solution Approach 2:
The system dynamically adjusts encoding parameters, specifically bit rate allocation, based on the detected presence and characteristics of specialized constructs. By changing the bit rate parameter selectively for different video regions rather than applying uniform compression, the system achieves smaller file sizes while preserving the clarity of important visual elements.
3Productivity
If uniform encoding is applied to the entire video, then the encoding process is simple and fast, but regions with specialized constructs lose quality
Solution Approach 1:
The system performs preliminary detection and mapping of specialized construct regions before the encoding process. This pre-processing step identifies the spatial locations and characteristics of text, images, and graphics, allowing the encoder to quickly reference these regions during encoding without significantly impacting overall processing speed, while ensuring quality preservation.
Solution Approach 2:
The patent implements differential encoding where different quality parameters are applied to different video regions. Regions containing specialized constructs are encoded with higher quality settings compared to standard video regions. This local quality approach maintains encoding efficiency while preventing quality loss in enhanced regions.
Data Source
AI summary
The disclosed computer-implemented method may include receiving, from a client device, a video and data about at least one specialized construct applied to the video. The method may also include detecting, based on the data about the specialized construct, a region of interest to apply the specialized construct to the video. Additionally, the method may include reapplying the specialized construct to the video at the region of interest. Furthermore, the method may include encoding the video by prioritizing bit rate allocation for the region of interest containing the specialized construct. Various other methods, systems, and computer-readable media are also disclosed.