Video Camera Metadata Embedding and Extraction Method
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Solution Overview
Problem
Video stream processing in video cameras involves complex image transformations and metadata handling, where existing methods require separate processing of images and metadata, leading to inefficiencies and potential conflicts with standard encoders due to embedded metadata.
Innovation Solution
A method that embeds metadata with the image prior to transformation, allowing it to follow the image during processing, and separates it before encoding, enabling efficient transformation and compression while maintaining metadata accuracy and compatibility with standard encoders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If metadata is embedded in the image prior to transformation, then metadata accuracy is maintained and processing efficiency is improved, but compatibility with standard encoders deteriorates
Solution Approach 1:
The system separates metadata handling from the main image processing pipeline. Metadata is extracted from the image data structure before being passed to standard encoders, allowing the image processing benefits of embedded metadata while maintaining encoder compatibility through separate metadata streams.
Solution Approach 2:
An intermediary processing layer is introduced between the image transformation stage and the encoder. This layer manages the metadata embedding and extraction, acting as a mediator that allows embedded metadata to follow image transformations while preventing conflicts with standard encoder expectations.
2Adaptability or versatility
If separate processing of images and metadata is performed, then encoder compatibility is maintained, but processing complexity increases
Solution Approach 1:
The system merges metadata processing with the image processing pipeline by embedding metadata within the image data structure. This allows metadata to automatically follow image transformations through the pipeline, reducing the need for separate parallel processing paths while maintaining compatibility through controlled extraction points.
3Productivity
If metadata is embedded with the image through the entire processing pipeline, then processing overhead is reduced, but conflicts with standard encoders occur
Solution Approach 1:
The system performs preliminary extraction of metadata from the embedded data structure before the image reaches the encoder stage. This preliminary action ensures that standard encoders receive only clean image data without embedded metadata conflicts, while the extracted metadata is routed through separate processing paths that benefit from the embedded approach.
Data Source
AI summary
A method for processing an image in a video device, comprises reading an image and combining the image with metadata related to the image by embedding the metadata in or with the image. The method further includes combining transforming the image and extracting the metadata from the image, before encoding the image in an encoder and utilizing the metadata as input in further processing.