Dynamic Power Manager for Multimedia Devices
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Solution Overview
Problem
Video data compression techniques increase latency and power consumption in real-time communications, particularly in battery-operated devices, due to complex processing requirements and temporal prediction methods.
Innovation Solution
A dynamic power management system in multimedia devices determines configuration information based on available power to optimize power management functions, coordinating the execution of power management functions across multimedia resources to reduce latency and consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If video data is encoded and compressed using temporal prediction techniques, then compression efficiency is improved, but latency and delays across the communication network increase
Solution Approach 1:
The patent applies preliminary action by pre-processing and caching reference video frames before they are needed for temporal prediction. This allows the decoding device to have reference frames ready in advance, eliminating the waiting time that causes latency while maintaining compression efficiency.
Solution Approach 2:
The patent segments the video processing into independent parallel streams, allowing different frames to be processed simultaneously rather than sequentially. This segmentation enables the system to maintain high compression efficiency while reducing overall latency by processing multiple frames in parallel.
2Productivity
If complex video coding and compression techniques are used, then compression efficiency is improved, but power consumption increases significantly
Solution Approach 1:
The patent applies partial action by selectively applying complex compression techniques only when necessary, rather than always using the most aggressive compression. The system adjusts the level of compression effort based on available power, using simpler techniques when power is limited and more aggressive techniques when power is abundant, thus maintaining compression efficiency while controlling power consumption.
Solution Approach 2:
The patent implements dynamic power management that adjusts compression parameters in real-time based on available power. The system can dynamically switch between different compression algorithms and complexity levels, allowing compression efficiency to be optimized when power is available while reducing power consumption when the battery level drops.
3Adaptability or versatility
If video functions are executed in battery-operated devices, then multi-media service capability is improved, but battery life is reduced due to power consumption
Solution Approach 1:
The patent changes key parameters of video processing based on battery status. When battery power is high, the system uses higher resolution, higher frame rates, and more complex effects. When battery power drops, the system automatically adjusts these parameters downward, reducing processing load and power consumption while maintaining acceptable video quality, thus preserving battery life while maintaining multi-media capability.
Solution Approach 2:
The patent creates a universal power management system that coordinates across multiple multi-media resources including video encoding, decoding, rendering, and transmission. This single power management entity can adaptively control all these functions based on available power, allowing the device to provide versatile multi-media services while optimizing battery life through coordinated resource management.
4Productivity
If temporal prediction is used in video compression, then compression ratio is improved, but decoding complexity and processing time increase
Solution Approach 1:
The patent applies preliminary action by pre-processing reference frames and preparing prediction data before actual decoding occurs. This reduces the computational burden during real-time decoding, maintaining high compression ratios while reducing decoding complexity and processing time.
Data Source
AI summary
In general, this disclosure relates to techniques for dynamically determining configuration information (e.g., for processing video data) and coordinating execution of power management functions based upon an available amount of power for execution of a multi-media service. One example method includes the following features: obtaining an amount of available power for execution of a service requiring multi-media resources within a multi-media device; determining, based upon the amount of available power, configuration information for execution of one or more power management functions in one or more multi-media resources of the multi-media device; and coordinating the execution of the one or more power management functions in the one or more multi-media resources based upon the configuration information in order to manage power utilization within the multi-media device.