Terminal Metadata for Image Coordinate Alignment
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Solution Overview
Problem
Network cameras encounter coordinate system discrepancies between original and encoded images, leading to inconsistencies in motion detection, ROI, VA, and privacy mask areas when transmitting images, especially with rotations, mirroring, or cropping, which complicates image processing and output in network camera systems.
Innovation Solution
A method is introduced where metadata is used to transmit data modification values, including scale, rotation, mirroring, cropping, and flipping information, to align the coordinate systems of original and encoded images, ensuring accurate image processing and output, particularly for dynamic cropping and rotational changes in image sensors like drones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a network camera converts captured images to digital signals and performs encoding/compression, then image transmission efficiency is improved, but coordinate system discrepancies arise between original and encoded images
Solution Approach 1:
The patent applies preliminary action by detecting and recording coordinate system conversion information (scale, rotation, mirroring, cropping) during the encoding process. This information is stored in advance in metadata that accompanies the encoded image stream, allowing the receiving device to pre-compensate for coordinate system discrepancies without real-time complex calculations.
Solution Approach 2:
The patent introduces metadata as an intermediary element that carries coordinate system conversion information between the encoding device and decoding device. This metadata acts as a mediator that bridges the coordinate system gap, enabling the receiving device to accurately interpret region information without direct complex coordinate transformations.
2Adaptability or versatility
If the network camera performs rotation, mirroring, or cropping during encoding, then image format adaptability is improved, but additional information checks are required at the image output apparatus
Solution Approach 1:
The patent uses metadata as an intermediary that carries all necessary conversion information (rotation angles, mirroring flags, cropping coordinates) from the encoding device to the decoding device. This eliminates the need for the output apparatus to perform additional information checks, as all transformation details are provided in advance through the metadata intermediary.
Solution Approach 2:
The patent implements a feedback mechanism where the encoding device provides conversion information back to the decoding device through metadata. This feedback loop ensures that the receiving device has complete information about coordinate system transformations, enabling accurate region detection without additional complexity at the output apparatus.
3Quantity of substance
If region information is transmitted without coordinate system conversion data, then transmission data volume is reduced, but region accuracy in encoded images deteriorates
Solution Approach 1:
The patent segments the transmitted data into two distinct parts: the encoded image stream and separate metadata containing coordinate system conversion information. This segmentation allows region information to be transmitted with minimal overhead while maintaining accuracy, as the conversion data is provided in a structured, easily parseable format rather than being embedded within the image data itself.
Data Source
AI summary
According to an embodiment of the present disclosure, in a terminal, in addition to event information in the ONVIF format, information for determining rotation and information about a cropped region cropped from an original region are additionally transmitted.