Cloud Rendering Offload for TV Multimedia Quality
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Solution Overview
Problem
Current Internet-connected TV platforms face challenges in delivering high-resolution multimedia content due to processor and memory constraints, which limits their ability to provide the high-quality visual and audio experiences expected by brands and advertisers, while also needing to maintain performance over the long lifespan of TV devices.
Innovation Solution
A cloud-based T-commerce system that offloads processing from the TV to a server-based platform, using remote browser rendering to deliver high-quality multimedia content and enable brand-specific e-commerce experiences on TVs with limited native capabilities, leveraging sensor-based controls for user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If cloud-based processing with remote browser rendering is implemented, then multimedia content quality is improved, but device complexity increases
Solution Approach 1:
A cloud-based rendering server acts as an intermediary between the content source and the TV device. The server performs browser rendering and generates video streams, which are then transmitted to the TV for playback. This mediator handles the complex processing tasks, allowing the TV to remain simple while delivering high-quality multimedia content.
Solution Approach 2:
The patent replaces local mechanical processing (CPU/GPU rendering on TV) with remote computational processing (browser rendering on server). The TV device substitutes its limited native browser and rendering capabilities with a cloud-based rendering service, accessing full browser functionality remotely through video stream transmission.
2Manufacturing precision
If more processing power is allocated to TV devices, then multimedia content quality is improved, but device cost increases
Solution Approach 1:
The cloud-based rendering server performs self-service by automatically detecting TV device capabilities, allocating appropriate rendering resources, and optimizing video stream parameters without requiring additional hardware investment from the TV device. The server manages its own resource allocation to deliver high-quality content economically.
Solution Approach 2:
The system dynamically changes processing parameters based on device capabilities and content requirements. The server adjusts video resolution, bitrate, and encoding parameters in real-time to optimize quality while minimizing resource consumption and cost, allowing high-quality delivery without proportional increases in device cost.
3Adaptability or versatility
If native browser capabilities are enhanced on TV devices, then content rendering flexibility is improved, but processing power requirements increase
Solution Approach 1:
The cloud-based rendering server provides universal browser rendering capabilities that can handle diverse content types (HTML5, video, interactive elements) across different TV devices. Instead of each TV needing its own enhanced native browser, a single multi-functional rendering service handles all rendering tasks for various content formats and device configurations.
Data Source
AI summary
A multimedia commerce brand offering environment is disclosed. Herein, a method for processing a multimedia commerce service includes the steps of storing service usage pattern data of a user using the multimedia commerce service, sensing a user action from a CPE of the user using the multimedia commerce service, comparing the sensed user action with the stored service usage pattern data of the user, extracting service usage pattern data of the user in accordance with the user action, and providing recommended commerce service information respective to the extracted service usage pattern data of the user.