RTI Server Bandwidth Management via JPEG 2000 Segmentation
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Solution Overview
Problem
Conventional digital camera systems struggle to simultaneously capture and disseminate high-resolution images over a large field-of-view at video rates due to limited downlink bandwidth, forcing trade-offs in field-of-view, frame rate, and resolution, and cannot accommodate multiple users with different data requirements simultaneously.
Innovation Solution
A server-based system that uses JPEG 2000 compression and intelligent bandwidth management to receive and transmit region and time of interest (RTI) requests from multiple users, combining image portions from local storage and other servers to fulfill requests efficiently, allowing multiple users to view different image data in real time without impacting others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the camera captures images over a large field-of-view at high resolution and video rates, then the image coverage area and resolution are improved, but the downlink bandwidth requirement exceeds available bandwidth
Solution Approach 1:
The patent segments the large field-of-view image data into multiple smaller regions of interest (ROIs). Instead of transmitting the entire large FOV image, the system identifies and transmits only the specific regions that users are interested in, thereby reducing the bandwidth requirement while maintaining high resolution for those specific areas.
Solution Approach 2:
The patent applies local quality by transmitting high-resolution image data only for the specific regions of interest that users need, while other regions are either not transmitted or transmitted at lower resolution. This allows the system to maintain high resolution where needed without proportionally increasing overall bandwidth consumption.
2Adaptability or versatility
If the camera is configured to capture images for one user with high priority, then that user's requirements are met, but other users with different data requirements cannot be accommodated simultaneously
Solution Approach 1:
The patent segments the image data by regions of interest, allowing different users to receive different segmented regions simultaneously. User 1 can receive Region A while User 2 receives Region B from the same captured image, enabling multiple users with different requirements to be served concurrently without exceeding bandwidth limits.
Solution Approach 2:
The patent enables each user to receive image data at the specific resolution and quality level appropriate for their needs. Different users can have different quality requirements for different regions, and the system transmits only what each user needs at their preferred quality level, optimizing bandwidth utilization.
3Adaptability or versatility
If multiple cameras are deployed to capture different scenes simultaneously, then multiple user requirements can be met, but the system cost and complexity increase significantly
Solution Approach 1:
The patent uses a single camera to capture a large FOV image that contains multiple regions of interest, then segments this single image into multiple regions for different users. This replaces the need for multiple cameras, each capturing a different scene, with one camera plus software-based segmentation, thereby reducing hardware complexity while maintaining multi-user capability.
Solution Approach 2:
The patent merges the functionality of multiple cameras into a single camera system. By capturing a large FOV that encompasses multiple scenes and then digitally segmenting the image into regions of interest, the system combines what would require multiple physical cameras into one device, reducing overall system complexity and cost.
Data Source
AI summary
A server fulfills region and time of interest (RTI) requests for images from multiple users. The server includes a receiver for receiving a RTI request from a user, a processor for assembling a compressed image based on the RTI request, and a transmitter for transmitting the compressed image to the user. The processor is configured to extract a first portion of the compressed image from a local storage device. If the first portion is insufficient to fulfill the RTI request, the processor is configured to request a second portion of the compressed image from another server, and combine the first and second portions of the compressed image to fulfill the RTI request from the user. The compressed image includes an image compressed by a JPEG 2000 compressor.