Image Encoding Parameter Control for Decoder Stall Prevention
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing digital image compression techniques often result in high bit rates, which can stall decoders in digital cinema systems, necessitating the need to monitor and control compressed data bit rates to prevent decoder failure during playback.
Innovation Solution
A method and apparatus for generating and adjusting encode parameters to ensure the compressed data bit rate remains below a selected threshold, using a processor to analyze and adjust compression parameters, such as those for image and audio compressors, to maintain a stable bit rate, allowing for efficient compression and playback in digital cinema systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If efficient compression algorithms are used to reduce bit rate, then storage and transmission costs are reduced, but some compressed image portions still result in high bit rate due to image detail and arrangement
Solution Approach 1:
The patent performs preliminary analysis of image frames to identify regions that will result in high bit rates during compression. By detecting these problematic regions before actual compression occurs, the system can pre-adjust compression parameters or allocate buffer resources in advance, preventing decoder stalls during playback.
Solution Approach 2:
The system implements feedback mechanisms by monitoring compressed bit rates in real-time and using this information to dynamically adjust compression parameters. When high bit rate regions are detected, the feedback loop triggers parameter adjustments to bring the bit rate back within acceptable thresholds, ensuring continuous decoder operation.
2Reliability
If compression parameters are adjusted to reduce bit rate below threshold, then decoder stability is improved, but image quality may be degraded
Solution Approach 1:
The patent applies different compression parameters to different regions of the image based on their complexity and importance. Critical regions with high detail maintain higher quality settings, while less important regions use more aggressive compression. This localized approach ensures decoder stability is achieved without uniformly degrading image quality across the entire frame.
Solution Approach 2:
The system dynamically changes compression parameters such as quantization levels, block sizes, and transformation types based on the specific characteristics of each image frame and region. By adapting parameters to match content requirements, the system maintains acceptable image quality while keeping bit rates within thresholds that prevent decoder stalls.
3Quantity of substance
If compression is applied to reduce data size for transmission, then storage and bandwidth requirements are reduced, but decoder stalls occur during playback due to high bit rate portions
Solution Approach 1:
The system performs preliminary analysis and parameter adjustment before actual compression and transmission. By identifying potential high bit rate regions in advance and pre-configuring appropriate compression settings, the system ensures that the compressed data stream maintains consistent bit rates suitable for the decoder's processing capacity, preventing playback interruptions.
Solution Approach 2:
The implementation includes feedback mechanisms that monitor compression output in real-time and adjust parameters dynamically. When the compressed data stream approaches bit rate thresholds that could cause decoder stalls, the feedback loop triggers parameter adjustments to maintain playback continuity while still achieving effective data size reduction.
Data Source
AI summary
An apparatus and method for limiting bit rate of compressed data is disclosed. The apparatus and method allows the generation of parameters for encoding digital image data based on the data bit rate resulting from the use of different parameters. In one embodiment, a statistical analysis is performed to determine the different parameters. The use of parameters results in a bit rate that would prevent a decoder to stall during decompression while allowing the encoder compress without affecting the quality. Therefore, a more efficient encoding and decoding can be achieved.