Surveillance Video Transcoding with Retained Acquisition Time Metadata
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Solution Overview
Problem
Surveillance video systems face challenges with narrow fields of view, high data storage requirements, limited bandwidth, and resource-intensive processing of high-resolution Wide Area Persistent Surveillance (WAPS) images, particularly in mobile applications where georeferenced images overwhelm existing systems.
Innovation Solution
A surveillance video system that transcodes surveillance image files into video frames with associated metadata, allowing for a selectable region of interest, and assembles a transport stream with a processor, enabling efficient data management and reduced bandwidth usage by duplicating image files to match video frame rates and inserting metadata, using formats like JPEG2000 for images and MPEG2 for video.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If WAPS images are taken at high resolution to extend surveillance coverage, then surveillance coverage area is improved, but data storage space requirement increases
Solution Approach 1:
The patent segments the high-resolution WAPS image into multiple lower-resolution sub-images or regions of interest. This allows the surveillance system to cover a large area by dividing it into manageable segments that can be stored and processed more efficiently, reducing overall storage requirements while maintaining comprehensive coverage.
Solution Approach 2:
The patent applies local quality by storing full-resolution data only for specific regions of interest while using lower resolution for other areas. This selective approach maintains high detail where needed for surveillance purposes while reducing storage requirements for less critical areas of the covered region.
2Speed
If WAPS images are transcoded to form full motion video, then video playback smoothness is improved, but processing computational resources increase
Solution Approach 1:
The patent performs preliminary transcoding and processing of WAPS images into video format during off-peak times or in advance, so that the actual playback requires minimal real-time processing. This preliminary preparation creates ready-to-play video files that can be smoothly displayed without demanding high computational resources during active surveillance operations.
Solution Approach 2:
The patent creates simplified copies or representations of the high-resolution WAPS images in video format. These copies contain the essential visual information needed for surveillance monitoring but require significantly fewer computational resources to process and display compared to the original high-resolution images.
3Measurement precision
If georeferenced metadata is included in WAPS images, then geospatial accuracy is improved, but data transmission bandwidth increases
Solution Approach 1:
The patent extracts only the essential geospatial metadata elements needed for accurate georeferencing, separating this data from the main image payload. By taking out only the critical geographic coordinates and transformation parameters, the system maintains geospatial accuracy while minimizing the bandwidth consumed by metadata transmission.
4Manufacturing precision
If high-resolution WAPS images are processed on mobile devices, then image detail quality is improved, but device memory resources are overwhelmed
Solution Approach 1:
The patent segments high-resolution WAPS images into smaller manageable portions or tiles that can be processed individually on mobile devices. This segmentation allows the device to work with smaller memory footprints while still accessing and displaying high-detail regions as needed, preventing memory overload while maintaining image quality where required.
Solution Approach 2:
The patent implements local quality by loading and processing only the specific regions of high-resolution images that are currently needed for viewing or analysis on the mobile device. Less critical regions are stored at lower resolution or loaded on-demand, optimizing the balance between image detail quality and device memory resource consumption.
Data Source
AI summary
A surveillance video system may include a surveillance image database storing a sequence of surveillance image files for a common area having image acquisition time metadata associated therewith, the sequence of surveillance image files defining an image acquisition rate. A processor may cooperate with the surveillance image database and may be configured to transcode the surveillance image files into a sequence of surveillance video frames retaining the image acquisition time metadata and at a video frame rate different from the image acquisition rate. The processor may also be configured to assemble a surveillance video transport stream from the sequence of surveillance video frames and retaining the image acquisition time metadata.