Dynamic Bit Allocation for Real-Time Image Delivery
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Solution Overview
Problem
Existing image delivery technologies face delays during real-time applications like games, as scalable video coding incurs large encoding and decoding delays, and HEVC struggles to adapt to real-time requirements due to its resolution-switching approach.
Innovation Solution
An image delivery device with operation information acquisition, image information acquisition, allocation information generation, compression, and transmission, which allocates bits dynamically based on operation information and image quality, using base information and weighting to optimize compression and reduce delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If scalable video coding is used to reduce transfer size, then compression efficiency is improved, but encoding and decoding delay increases significantly
Solution Approach 1:
The patent applies dynamic bit allocation strategy where the encoder dynamically adjusts the number of bits allocated to different regions based on operation information and image quality requirements. This dynamic adaptation allows the system to maintain real-time performance while achieving efficient compression, resolving the contradiction between transfer size reduction and encoding delay.
Solution Approach 2:
The patent divides the image into multiple regions and allocates different numbers of bits to each region based on local image quality characteristics and operation information. This local quality approach enables selective compression that maintains real-time processing speed while reducing overall transfer size, addressing the delay issue without sacrificing compression efficiency.
2Manufacturing precision
If HEVC prepares streams with multiple resolutions in advance, then image quality is improved, but adaptability to real-time requirements deteriorates
Solution Approach 1:
The patent implements dynamic bit allocation that adapts to real-time operation information and image quality requirements. Instead of pre-preparing multiple resolution streams, the system dynamically adjusts compression parameters based on current game state and user operations, achieving both high image quality and real-time adaptability.
Solution Approach 2:
The patent changes compression parameters dynamically based on operation information and image quality assessments. By adjusting bit allocation parameters in real-time rather than using fixed pre-prepared streams, the system achieves both high image quality and adaptability to real-time requirements.
3Loss of time
If dynamic bit allocation based on operation information is implemented, then real-time performance is improved, but device complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where operation information is continuously monitored and fed back into the bit allocation decision process. This feedback loop enables real-time adaptation while using a systematic approach to complexity management, as the feedback mechanism provides structured guidance for dynamic bit allocation decisions.
Solution Approach 2:
The system performs self-service by automatically adjusting bit allocation based on operation information and image quality assessments without requiring complex external control. The encoder autonomously makes allocation decisions using built-in analysis of operation patterns and image characteristics, reducing overall system complexity while maintaining real-time performance.
Data Source
AI summary
An image delivery device is, for example, implemented which is capable of better preventing delays even when real-timeness is required. The image delivery device includes operation information acquisition means, image information acquisition means, allocation information generation means, compression means, and transmission means. The operation information acquisition means acquires operation information. The image information acquisition means acquires image information generated on the basis of the operation information. The allocation information generation means generates allocation information representing allocation of numbers of bits during compression of the image information on the basis of the operation information. The compression means compresses the image information on the basis of the allocation information. The transmission means transmits the compressed image information.