3D Object Streaming With User Input Analysis for Bandwidth Reduction
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Solution Overview
Problem
Existing 3D image transmission techniques face challenges in reducing bandwidth usage while maintaining image quality, and there is a need for systems that can analyze user interactions with 3D content to understand user interests and behavioral tendencies.
Innovation Solution
A method involving a server that simplifies and encodes 3D object geometry and color information as a stream, analyzes user input, and adjusts the displayed content accordingly, using a proprietary container stream for efficient data transmission and interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If 3D image data is transmitted with high detail and quality, then image quality is improved, but bandwidth consumption increases
Solution Approach 1:
The patent segments 3D image data into multiple layers with different levels of detail (LOD). Each layer represents a different quality level, allowing the system to transmit only the necessary detail level based on viewer distance and device capabilities. This segmentation enables quality adaptation without transmitting all possible detail levels simultaneously, thus reducing bandwidth consumption while maintaining perceived image quality.
Solution Approach 2:
The patent dynamically changes transmission parameters including compression ratio, resolution, and detail level based on network conditions, viewer distance, and device performance. By adjusting these parameters in real-time, the system optimizes the balance between image quality and bandwidth consumption, transmitting higher quality when resources allow and lower quality when bandwidth is constrained.
2Adaptability or versatility
If user interaction analysis is implemented to understand behavioral tendencies, then user engagement is improved, but system complexity increases
Solution Approach 1:
The patent implements feedback mechanisms that track user interactions with 3D content (viewing time, interaction patterns, preference selections) and use this information to adaptively adjust content delivery. The system analyzes behavioral data to understand user preferences and automatically modifies subsequent content transmission, creating a closed-loop system that improves engagement without requiring complex manual intervention.
Solution Approach 2:
The system performs automated analysis of user interaction data and self-adjusts content delivery parameters based on detected behavioral patterns. Rather than requiring complex external analysis systems, the patent enables the streaming system itself to service the analysis and adaptation functions, reducing overall system complexity while maintaining high user engagement through personalized content delivery.
Data Source
AI summary
The present disclosure provides a method for analyzing an input by a user received by a client on a server; the method comprising of; sending a content to be displayed by the client from the server to the client; receiving from the client, an input information by the user to the client during the content is displayed; analyzing the input information by the user received from the client; and changing the content to be displayed by the client based on the result of the analysis; and sending the changed content to the client.