WAMI Tile Encoding for Low-Latency Image Distribution
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Solution Overview
Problem
Conventional wide-area motion imagery (WAMI) systems face challenges in efficiently distributing high-resolution image data over computer networks due to large file sizes, leading to high latency and playback issues at client devices.
Innovation Solution
The system divides WAMI data into tiles at various zoom levels, stabilizes images to compensate for sensor motion, and encodes each frame tile into a color channel of a JPEG or YUV/CMYK image file, generating encoded video files for efficient distribution, which are then decoded and played back at client devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If WAMI data is distributed over computer networks, then image data can be accessed by client devices, but large file sizes cause high latency and playback issues
Solution Approach 1:
The patent segments WAMI data into individual frame tiles that can be independently encoded and distributed. Each frame tile is processed separately through JPEG or YUV/CMYK encoding, allowing selective transmission and playback of specific regions and time frames, thereby reducing overall distribution latency while maintaining playback reliability.
Solution Approach 2:
The patent applies parameter changes by encoding frame tiles into different color channels (RGB, YUV, or CMYK) and adjusting compression parameters to achieve an overall compression rate of approximately 97%. This transforms the data format to reduce file size and transmission time while preserving essential image information for reliable playback.
2Productivity
If compression is applied to reduce file size, then distribution efficiency improves, but image quality may deteriorate
Solution Approach 1:
The patent changes the parameter representation by encoding image data into different color space formats (JPEG, YUV, CMYK) and utilizing multiple color channels. This allows achieving approximately 97% compression while distributing the image information across multiple channels, thereby maintaining perceptual image quality despite high compression ratios.
Solution Approach 2:
The patent transitions from distributing single-channel grayscale WAMI data to multi-channel color-encoded data structures. By spreading image information across multiple color channels (RGB, YUV, or CMYK), the system achieves efficient compression while preserving image quality through dimensional redistribution of data.
3Manufacturing precision
If WAMI data is stabilized to compensate for sensor motion, then image quality improves, but processing complexity increases
Solution Approach 1:
The patent segments the stabilization process by applying motion compensation to individual frame tiles rather than entire wide-area images. This division allows targeted stabilization processing on only the necessary portions of the data, improving image stability while reducing overall processing complexity compared to full-image stabilization.
Data Source
AI summary
Systems and methods are provided for obtaining a set of images representing a view of a geographic region to be compressed, the set of images including a first image and a second image. A first image file can be generated based on the set of images, wherein the first image is encoded in a first color channel associated with the image file, and wherein the second image is encoded in a second color channel associated with the image file. A video file can be generated based at least in part on the image file. The video file can be provided to a client device over one or more computer networks.