Context-Aware Background Selection in Streaming Video Sessions
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Solution Overview
Problem
The transition from x86 to ARM-based processors in Information Handling Systems (IHS) has created challenges in management, customization, optimization, interaction, servicing, and configuration, particularly in managing background images during streaming video sessions across heterogeneous computing platforms.
Innovation Solution
An IHS with a processor and memory executes program instructions to detect streaming video sessions, determine user context, and select appropriate background images based on factors like location, time, weather, subject matter, and user engagement, using a heterogeneous computing platform comprising SoC, FPGA, or ASIC, with an orchestrator that can detect changes and adapt the background accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If background images are dynamically selected based on user context during streaming video sessions, then user experience and engagement are improved, but system complexity and computational overhead increase
Solution Approach 1:
The system pre-defines multiple background images and their associated contexts before the video session starts. During the session, the system only needs to detect which pre-defined context matches the current situation and select the corresponding background image, rather than generating backgrounds in real-time. This preliminary preparation reduces computational complexity while maintaining dynamic adaptability.
Solution Approach 2:
The system continuously monitors user context parameters (location, time, weather, activity) and uses this feedback to dynamically select appropriate background images. The feedback loop operates by comparing current context against predefined contexts and adjusting background selection accordingly, enabling responsive user experience without requiring complex real-time generation algorithms.
2Adaptability or versatility
If context detection and background selection operations are performed continuously during streaming sessions, then background relevance and user engagement are improved, but processing time and computational resources increase
Solution Approach 1:
The system pre-establishes a library of background images categorized by context types (location, weather, activity, time of day) before the video session begins. During the session, the system performs simple pattern matching to identify the current context and select the pre-prepared appropriate background, avoiding time-consuming real-time generation while maintaining high relevance.
Solution Approach 2:
The system dynamically adjusts background selection based on real-time context detection while using a static library of pre-defined background options. This dynamic selection process responds to changing user contexts without the computational burden of generating new backgrounds, optimizing the balance between adaptability and processing efficiency.
3Measurement precision
If multiple context parameters (location, time, weather, activity) are monitored and processed, then background selection accuracy is improved, but device complexity and processing overhead increase
Solution Approach 1:
The system divides context monitoring into separate, independent parameter modules (location detection, time detection, weather detection, activity detection). Each parameter is handled by its own simple detection mechanism, and the results are combined to select the appropriate background. This segmentation reduces the complexity of processing each individual parameter while maintaining overall accuracy through multi-parameter consideration.
Data Source
AI summary
Systems and methods are provided for managing the use of background images used in streaming video sessions hosted using a heterogeneous computing platform of an IHS (Information Handling System). A streaming video session is detected that is conducted using resources of the heterogeneous computing platform, where the user of the IHS is a participant in the streaming video session. A context of the user's participation in the streaming video session is determined. A background image is selected for display behind the user based on the determined context of the user's participation in the streaming video session. The background image selected for display behind the user may visually convey information to other participants in the video, without requiring the participants to read any text displayed in support of the streaming video session.