Video Stream Integration Using Wavelet and DCT Transforms
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Solution Overview
Problem
Existing video transmission technologies fail to maintain video quality during transmission due to packet loss, as they lack adaptive mechanisms to adjust to varying transmission conditions.
Innovation Solution
The method employs discrete wavelet transform for key frames and discrete cosine transform for interframe computations, combined with forward error correction and packet loss concealment, to automatically adjust and compensate for transmission conditions, ensuring high video quality by optimizing bit allocation and error recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video data is compressed using conventional standards (MPEG/H.26x) for transmission, then bandwidth utilization is improved, but packet loss during transmission degrades video quality and causes errors
Solution Approach 1:
The patent applies forward error correction coding before video data transmission to preemptively protect against packet loss. By encoding redundancy information in advance, the system can recover from transmission errors without requiring retransmission, thus maintaining video quality despite packet loss in high-speed networks
Solution Approach 2:
The patent dynamically adjusts transmission parameters including error correction strength and packetization strategies based on network conditions. By changing these parameters adaptively, the system optimizes the balance between compression efficiency and error resilience under varying transmission conditions
2Productivity
If high compression rates are used to reduce bandwidth requirements, then transmission efficiency is improved, but the impact of packet loss on video quality becomes more severe
Solution Approach 1:
The patent implements error correction coding and redundancy mechanisms before transmission to cushion against the harmful effects of packet loss. This preliminary protection layer ensures that even highly compressed video data can be recovered from transmission errors, mitigating the amplified impact of packet loss that occurs with high compression rates
3Reliability
If adaptive adjustment mechanisms are added to maintain video quality under varying transmission conditions, then video reception quality is improved, but system complexity increases
Solution Approach 1:
The patent employs feedback mechanisms where the receiver monitors transmission quality and sends control information back to the transmitter. This enables adaptive adjustment of error correction parameters and retransmission strategies, maintaining video quality under varying conditions while managing system complexity through standardized feedback protocols
Data Source
AI summary
A method for video data stream integration and compensation includes using a discrete wavelet transform technique to compress and encode key frames of a video signal, and a discrete cosine transform technique to process interframe computations of the video signal, and automatically compensating and adjusting the video signal according to different factors. Since the key frames are not likely to be distorted when processed using discrete wavelet transform, and since the use of discrete cosine transform to process interframe computation facilitates realization of high-speed computations and permits fine macroblock computations, the reception quality of the video signal can be maintained.