Wavelet Video Compression with Random Anchor Frame Protection
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Solution Overview
Problem
Current methods for real-time video and audio transmission over networks fail to deliver high-quality video at a reasonable cost due to inefficient compression algorithms that consume excessive bandwidth and lack sufficient speed, and they do not provide adequate protection against camcorder piracy.
Innovation Solution
The use of novel wavelet transform-based algorithms for compressing and decompressing video and audio signals, which reduce bandwidth requirements by eliminating high-frequency components and allowing for real-time processing, while also incorporating methods to protect against unauthorized reproduction by randomly selecting anchor frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If current compression algorithms are used for video transmission, then bandwidth consumption is reduced, but video quality deteriorates and real-time processing becomes impossible
Solution Approach 1:
The patent extracts only the essential low-frequency components of video signals for transmission, eliminating high-frequency components that consume bandwidth but contribute minimally to perceived quality. This selective extraction enables efficient bandwidth utilization while maintaining acceptable video quality through intelligent omission of redundant information.
Solution Approach 2:
The system performs preliminary compression and selection of essential video components before transmission, preparing the data in advance to optimize both bandwidth efficiency and quality preservation. This pre-processing enables real-time transmission by reducing the computational burden during playback.
2Loss of energy
If current compression algorithms are used for video transmission, then bandwidth consumption is reduced, but processing speed becomes insufficient for real-time application
Solution Approach 1:
By extracting only low-frequency components for transmission and utilizing the human visual system's insensitivity to high-frequency details, the patent dramatically reduces the amount of data requiring compression and processing. This extraction strategy enables real-time processing speeds while maintaining bandwidth efficiency.
Solution Approach 2:
The patent transforms the video signal from the spatial domain to the frequency domain through wavelet transformation, changing the representation parameters to separate essential low-frequency information from redundant high-frequency information. This parameter transformation enables efficient real-time processing by focusing computational resources on the most visually significant components.
3Manufacturing precision
If standard video transmission is used, then video quality is maintained, but protection against camcorder piracy is insufficient
Solution Approach 1:
The patent introduces asymmetric frame selection where anchor frames are chosen non-uniformly based on scene complexity and motion characteristics rather than at fixed intervals. This asymmetric distribution creates an irregular pattern that is difficult for camcorders to capture and reconstruct, providing cryptographic-like protection while maintaining video quality through strategic frame selection.
Solution Approach 2:
The system dynamically adjusts anchor frame selection based on real-time analysis of video content characteristics, including motion magnitude and scene complexity. This dynamic adaptation ensures optimal protection against piracy while maintaining visual quality, as the protection mechanism responds to the actual content rather than applying a static pattern.
Data Source
AI summary
The invention presents new methods of compression, transmission, and decompression of video signals providing increased speed and image quality and for protecting against camcorder piracy. Methods based on selecting an anchor frame, wavelet transformation with decimation and time stamping can provide one-pass encoding of signals in which the amount of bits of information needed to be transmitted can be substantially reduced, thereby increasing the speed of transmission of digital signals over networks. Decompressing signals, along with interpolation methods to re-create portions of images of lesser importance in visual perception, can provide coordinated video and audio presentations of high quality in real-time over all kinds of networks and frame interpolation resulting in a displayed frame rate significantly higher than 30 fps. The use of randomly selected anchor frames can render reconstructed transmitted images of poor quality for pirates who do not have access to identities of anchor frames.