Multimedia Video Mixing for Synchronized PIP Smart Lighting
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Solution Overview
Problem
Existing multimedia devices struggle to synchronize smart lighting effects with both main and sub windows, particularly when using picture-in-picture (PIP) functionality, as they lack the capability to process and synchronize video data from multiple apps effectively.
Innovation Solution
A multimedia device with an interface that receives and processes video data from both a main and a sub app, mixing or upscaled data to create synchronized smart lighting effects, using a processor to output mixed video data for smart lights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the multimedia device uses PIP function to output multimedia contents from multiple apps in main and sub windows, then the device can display multiple apps simultaneously, but the device cannot synchronize smart lighting effects with both main and sub windows
Solution Approach 1:
The processor segments the video data processing by separating the main window video data and sub window video data processing paths. It processes each video data independently and then combines them, allowing synchronized smart lighting effects while managing complexity through structured segmentation of the processing workflow.
Solution Approach 2:
The processor acts as an intermediary that receives video data from multiple apps, processes it through mixing or upscaling operations, and outputs the processed video data to smart lights. This intermediary processing step enables synchronization capability while managing the complexity through a centralized processing architecture.
2Reliability
If the processor processes video data from both main and sub apps for smart lighting effects, then synchronized lighting effects are achieved, but the processing complexity and computational load increase
Solution Approach 1:
The processing architecture is segmented into distinct stages: receiving video data from main and sub apps, processing each data stream, mixing or upscaling operations, and output to smart lights. This segmentation improves synchronization reliability while managing complexity through modular processing steps.
Solution Approach 2:
The processor applies partial processing by selectively processing video data based on the PIP mode and configuration. It processes only the necessary portions of video data required for synchronized lighting effects, avoiding unnecessary computational overhead while maintaining synchronization accuracy.
3Illumination intensity
If the processor mixes or upscales video data from sub app, then the smart lighting effect is maximized, but the processing time and computational resources increase
Solution Approach 1:
The processor applies partial processing by selectively mixing or upscaling video data based on the specific PIP configuration and requirements. It processes only the necessary portions of video data to achieve the desired lighting effect quality, reducing unnecessary processing time and computational overhead.
Solution Approach 2:
The processor dynamically changes processing parameters such as upscaling level and mixing ratio based on the video data characteristics and smart light capabilities. This adaptive parameter adjustment optimizes the balance between lighting effect quality and processing efficiency, maximizing illumination intensity while minimizing processing time.
Data Source
AI summary
Proposed is a multimedia device including an interface that receives first video data of a main app and second video data of a sub app, and a processor that processes video data for a smart lighting effect synchronized with the first video data and the second video data, wherein the processor mixes the first video data with the second video data and outputs the mixed video data, wherein the mixed video data is used as source data for operating smart lights.