Resource Management for Mobile Terminal Audiovisual Streams
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing resource management techniques in mobile terminals do not effectively adapt to the context of use during audiovisual communications, leading to suboptimal energy consumption and network bandwidth usage, as they solely rely on available resources without considering the specific context of the terminal's usage.
Innovation Solution
A method and device for managing resources by identifying the acquisition devices currently in use on a mobile terminal, determining the context of use, and implementing context-specific resource-saving measures such as suspending capture, repeating the last image, reducing image capture frequency, or lowering spatial resolution, to optimize energy consumption and network bandwidth without affecting the stream from alternative devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If resource-saving measures are implemented based solely on available resources, then energy consumption is reduced, but the quality of video and audio streams is decreased at inopportune times
Solution Approach 1:
The patent implements dynamic resource management by continuously monitoring both resource availability and usage context. The system adapts resource-saving measures in real-time based on the combination of available resources and current usage context, rather than applying static rules. This allows the system to maintain stream quality during important communication moments while saving energy during less critical periods.
Solution Approach 2:
The system employs feedback mechanisms by monitoring the context of use and adjusting resource management decisions accordingly. The context information feeds back into the resource management algorithm, allowing it to learn from usage patterns and make informed decisions about when to apply resource-saving measures without degrading stream quality inappropriately.
2Reliability
If multiple acquisition devices are used simultaneously for audiovisual communication, then communication quality is improved, but resource consumption increases
Solution Approach 1:
The patent applies partial action by selectively activating only the necessary acquisition devices based on communication context and resource availability. Instead of always using all available devices simultaneously, the system determines the minimum set of devices needed for acceptable communication quality, thereby reducing resource consumption while maintaining adequate communication performance.
Solution Approach 2:
The system changes operational parameters of acquisition devices dynamically. When resources are constrained, it adjusts parameters such as resolution, frame rate, or sampling frequency of the active devices to optimize the balance between communication quality and resource consumption, rather than simply turning devices on or off.
3Reliability
If the quality of video and audio streams is maintained at high levels, then user satisfaction is improved, but energy consumption and network bandwidth usage increase
Solution Approach 1:
The patent implements dynamic quality adjustment based on real-time context analysis. The system continuously evaluates the communication context and resource availability, dynamically adapting stream quality parameters to maintain user satisfaction during important interactions while reducing energy consumption during less critical moments.
Solution Approach 2:
The system changes stream parameters such as resolution, bitrate, and encoding quality dynamically. Rather than maintaining fixed high-quality settings, the patent adjusts these parameters based on context and resource availability, optimizing the trade-off between user satisfaction and energy consumption.
4Use of energy by moving object
If context-aware resource management is implemented, then energy efficiency is improved, but device complexity increases
Solution Approach 1:
The patent segments the resource management function into distinct modular components: context monitoring module, resource status monitoring module, decision-making module, and execution module. This segmentation allows each component to handle a specific aspect of the complex task independently, making the overall system more manageable and maintainable despite the increased functionality.
Solution Approach 2:
The system introduces intermediary layers between the raw sensor data and the resource management decisions. Context indicators and resource status indicators serve as intermediaries that simplify the information processing required for decision-making, reducing the complexity of directly analyzing all raw data streams.
Data Source
AI summary
A method for managing resources during the capture of at least one data stream on a terminal is disclosed. The terminal can comprise at least one first acquisition device for acquiring a data stream and a second acquisition device alternative to the first acquisition device, the first and second acquisition devices being suitable for capturing one and the same type of data. The method is noteworthy in that it comprises steps of obtaining of an indication according to which a limit of resources is reached, of identification of the acquisition devices currently in use, and of implementation of a resources-saving measure associated with the first acquisition device, when the first device is identified as currently in use.