Alpha Video Codec Using Metadata-Mapped Difference Blocks
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Solution Overview
Problem
Existing video codecs struggle to deliver high-quality, alpha-enabled videos seamlessly across diverse platforms due to compatibility issues and inefficient processing, particularly in handling transparency features and compression artifacts.
Innovation Solution
A codec system that encodes and decodes video data by identifying keyframes and mapping frame differences into blocks, storing coordinates and metadata, and leveraging GPUs for efficient rendering, ensuring compatibility and high-fidelity playback across various devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional video codecs are used to compress video data, then file size is reduced for efficient transmission, but video quality deteriorates due to compression artifacts and loss of transparency information
Solution Approach 1:
The patent segments the video data into keyframes and difference frames, where keyframes store complete image data and difference frames store only the changes. This segmentation allows for more efficient compression while maintaining visual quality, as the human eye is less sensitive to artifacts in difference frames. The alpha channel information is also segmented and preserved separately to maintain transparency quality.
Solution Approach 2:
The patent changes the compression parameters by using a hybrid approach that combines traditional compression techniques with preservation of specific high-value data elements. The alpha channel transparency information is preserved at higher quality levels while luminance and chrominance data are compressed using standard techniques, optimizing the balance between file size and perceived video quality.
2Productivity
If video data is compressed to fit network bandwidth, then transmission efficiency is improved, but compatibility across diverse platforms deteriorates due to codec limitations
Solution Approach 1:
The patent creates a universal video format that can be decoded by multiple platforms without requiring platform-specific codecs. The format uses standard image containers (PNG, JPG, GIF) that are widely supported, combined with a structured metadata approach that preserves alpha channel information in a cross-platform compatible manner. This multi-functionality allows the same compressed video file to play back consistently across web browsers, mobile devices, and desktop applications.
Solution Approach 2:
The patent introduces an intermediary encoding structure that translates between various source formats and a universal playback format. This intermediary structure uses standard image data formats combined with metadata layers that convey transparency and animation information in a way that can be interpreted by different platforms, acting as a mediator that ensures consistent playback across diverse environments.
3Manufacturing precision
If alpha channel transparency information is preserved in compressed video, then visual fidelity is improved, but processing complexity increases
Solution Approach 1:
The patent extracts the alpha channel transparency information from the video data stream and stores it separately in the metadata section. This extraction allows the transparency information to be preserved without increasing the complexity of the main video decoding process. The separated alpha channel data can be applied during the final rendering stage, keeping the core compression and decompression algorithms relatively simple while still achieving high visual fidelity.
4Quantity of substance
If keyframes and difference frames are used for compression, then file size is reduced, but processing time increases during decoding
Solution Approach 1:
The patent performs preliminary organization of video data into keyframes and difference frames during the encoding phase, storing this structured information in the compressed file. This preliminary action allows the decoding process to simply retrieve and combine pre-processed data rather than performing complex analysis in real-time. The metadata structure is prepared in advance to guide the rapid reconstruction of video frames during playback, reducing processing time while maintaining the space-saving benefits of differential compression.
Data Source
AI summary
Various aspects of the subject technology relate to systems, methods, and machine-readable media for encoding video data. Various aspects may include identifying keyframes in a source video. Aspects may also include mapping differences between keyframes and consecutive frames in the source video into blocks. Aspects may also include generating an image including the blocks. Aspects may also include storing coordinates of the blocks in the image and corresponding source video information as metadata. Aspects may include compressing the image, the first keyframe, and the metadata into a single compressed file. Aspects may include reconstructing the source video for playback based on the image, keyframes, and metadata in the compressed file.