Dynamic Compression Level Adjustment for Interactive Streaming
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Solution Overview
Problem
Interactive streaming image systems face challenges in managing bandwidth and image quality due to the resource-intensive nature of existing compression standards like Motion-JPEG and MPEG, which are not optimal for frame-by-frame interactions and require significant server processing, leading to network slowdowns and inefficient content distribution.
Innovation Solution
A method that dynamically adjusts compression levels based on comparisons between new and previous image frames, using a smoothing heuristic to optimize bandwidth usage and maintain image quality by increasing compression when content is changing and decreasing it when content is static, thereby reducing network traffic and improving user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If Motion-JPEG compression is used for interactive streaming, then per-frame compression levels are improved, but network performance deteriorates due to resource-intensive processing
Solution Approach 1:
The patent implements dynamic adjustment of compression levels based on frame differences. The system transitions from static compression to dynamic compression where the compression parameter varies frame-by-frame based on content change detection. This resolves the contradiction by applying high compression only when necessary (large frame differences) and low compression when not needed (small frame differences), optimizing both compression efficiency and network performance.
Solution Approach 2:
The patent changes the compression parameter dynamically based on frame difference calculations. By monitoring the difference between consecutive frames and adjusting the compression level accordingly, the system adapts the compression intensity to match the actual content changes, thereby improving network performance while maintaining acceptable image quality.
2Productivity
If MPEG compression is used for interactive streaming, then multi-frame compression performance is improved, but adaptability to frame-by-frame interactions deteriorates
Solution Approach 1:
The patent segments the video stream into individual frames and processes each frame independently based on its difference from the previous frame. This segmentation allows the system to apply compression decisions on a per-frame basis rather than requiring multi-frame processing, thereby maintaining interactive responsiveness while achieving efficient compression through frame-by-frame analysis.
Solution Approach 2:
The system dynamically adjusts compression for each frame based on real-time frame difference calculations, enabling adaptive compression that responds to interactive changes. This dynamic approach allows the system to maintain high compression efficiency for static scenes while quickly adapting to content changes in interactive applications.
3Quantity of substance
If compression level is increased to reduce bandwidth, then network traffic is reduced, but image quality deteriorates
Solution Approach 1:
The patent implements dynamic compression level adjustment where the compression intensity varies based on frame difference magnitude. When frame differences are large (indicating significant content changes), the system applies lower compression to maintain image quality. When frame differences are small (indicating static or minimally changed scenes), the system applies higher compression to reduce network traffic. This dynamic adaptation resolves the contradiction by matching compression intensity to actual content requirements.
Solution Approach 2:
The system changes compression parameters dynamically based on frame difference analysis. By calculating the difference between consecutive frames and using this information to adjust compression levels, the system optimizes the trade-off between network traffic reduction and image quality preservation, applying appropriate compression only when it does not significantly degrade perceived quality.
4Quantity of substance
If compression processing is applied to every frame, then bandwidth is optimized, but processing time increases
Solution Approach 1:
The patent extracts and processes only the difference information between consecutive frames rather than compressing every frame independently with full processing. By calculating frame differences and using this extracted information to guide compression decisions, the system reduces the processing burden while maintaining effective bandwidth optimization, as compression can be adjusted based on the extracted difference data without requiring full compression processing for every frame.
Solution Approach 2:
The system dynamically determines the necessary processing level for each frame based on frame difference analysis. When frames are similar to the previous frame, the system can reduce or skip compression processing. When frames show significant changes, the system applies appropriate compression. This dynamic processing approach optimizes the balance between bandwidth utilization and processing time by adapting the processing intensity to actual content needs.
Data Source
AI summary
Methods for managing an interactive streaming image system are disclosed. More particularly, hardware and/or software for generating, encoding, and transmitting image frames to an interactive client are disclosed. One embodiment provides a method for streaming images from a server to a client. Embodiments may include receiving from the client via a network client information and generating a new image frame based on the received client information. Embodiments may also include comparing the new image frame and a previous image frame and setting a new compression level based on the comparison between the new image frame and the previous image frame. Embodiments may also include encoding the new image frame based on the new compression level and transmitting the encoded new image frame and an indication of the new compression level to the client via the network.