Video Metadata Extraction for Bandwidth-Constrained Event Detection
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Solution Overview
Problem
Current video management systems face inefficiencies in capturing, organizing, and processing video content to identify events, particularly in resource-intensive searches across multiple video streams with limited bandwidth.
Innovation Solution
Generating and sending time-stamped metadata for reference and delta video frames, which identifies objects and changes, reduces bandwidth usage by only transmitting necessary data, and using a cloud-based system with cognitive models for efficient event detection and retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If time-stamped metadata for all video frames is transmitted, then complete video information is available for event detection, but bandwidth consumption increases significantly
Solution Approach 1:
The patent extracts only the essential information from video frames by generating metadata that identifies objects and their attributes without transmitting the actual video data. This extraction approach maintains event detection capability while significantly reducing bandwidth consumption.
Solution Approach 2:
The patent segments video information into discrete metadata elements (object identification, attributes, timestamps) that can be transmitted independently. This segmentation allows selective transmission of only necessary information for event detection, reducing overall bandwidth requirements.
2Speed
If metadata is generated for every video frame, then real-time event detection is enabled, but processing resources are excessively consumed
Solution Approach 1:
The patent performs preliminary processing by generating metadata at the source device before transmission. This preliminary action reduces the processing burden on remote systems and enables faster event detection since the metadata is already prepared and structured for analysis.
Solution Approach 2:
The patent changes the representation parameters of video data from raw pixel information to structured metadata with specific attributes (object type, position, timestamp). This parameter transformation reduces processing complexity while maintaining the ability to detect events in real-time.
3Loss of information
If all video data is stored and processed centrally, then comprehensive event analysis is achieved, but system complexity and storage requirements increase
Solution Approach 1:
The patent extracts essential event-related information from video streams and transmits only this metadata to central systems. This approach achieves comprehensive event analysis capability while reducing storage requirements and system complexity by eliminating the need to store and process entire video streams centrally.
Data Source
AI summary
A video management system may send time-stamped metadata corresponding to a video stream across a communication path having a limited bandwidth. Time-stamped metadata for a first reference video frame which identifies objects in the reference frame may be generated, and sent across the communication path. Time-stamped metadata for each of a plurality of first delta video frames following the first reference video frame may be generated, the time-stamped metadata for each of the plurality of first delta video frames may identify changes in detected objects relative to the objects identified in the time-stamped metadata for the first reference video frame. The time-stamped metadata for each of the plurality of first delta video frames may be sent across the communication path.