Image Transmission Device Dynamic Object Scoring
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Solution Overview
Problem
Conventional surveillance systems face challenges in efficiently selecting and transmitting metadata and image frames, as they apply uniform criteria across multiple videos, leading to overwhelming amounts of data and increased computational burdens, especially for cameras with low specifications.
Innovation Solution
The system dynamically selects a main object based on a calculated score using metadata, and transmits relevant metadata and image frames or best shots, adjusting according to the current resources of the image transmission device and the requirements of the image reception device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform criteria are applied to select objects from multiple videos, then the selection process is simple and consistent, but the number of recognized objects becomes vast and difficult to monitor
Solution Approach 1:
The patent changes the selection parameters dynamically by introducing a scoring mechanism that evaluates multiple factors (object frequency, duration, position, size) rather than using uniform criteria. This allows the system to filter and prioritize objects based on their significance, reducing the vast number of recognized objects to a manageable set of main objects while maintaining operational simplicity.
Solution Approach 2:
The patent implements dynamic object selection where the criteria for identifying main objects change based on video content analysis. The scoring system adapts to different videos and contexts, automatically adjusting which objects are selected as main objects rather than applying static uniform criteria throughout.
2Manufacturing precision
If best shot technology generates partial images in the camera device, then partial images representing specific objects are provided, but the calculation burden deteriorates basic performance of low-specification cameras
Solution Approach 1:
The patent extracts only the essential information needed for best shot generation (object metadata, scores, and selected main objects) from the video content, transmitting this compact data to the reception device. The actual image cropping and best shot generation are performed on the reception device rather than the camera, removing the heavy computational burden from low-specification cameras while still achieving high-quality results.
Solution Approach 2:
The patent introduces metadata and object scores as intermediary data between the camera device and reception device. This intermediary layer allows the camera to transmit minimal information while the reception device performs the computationally intensive best shot generation, effectively mediating the workload between devices with different capabilities.
3Loss of information
If all metadata and image frames are transmitted, then complete information is available for search, but the data transmission volume and processing load increase significantly
Solution Approach 1:
The patent extracts and transmits only the metadata and image frames corresponding to selected main objects rather than all objects in the video. By filtering out non-main objects based on scoring, the system maintains complete information for search purposes while dramatically reducing the volume of transmitted data to only what is essential.
Solution Approach 2:
The patent transmits a partial set of data (only main object information) rather than all possible data. This partial action is sufficient to meet the search requirements while avoiding the excessive data transmission that would result from including all objects, achieving the right balance between information completeness and data volume.
Data Source
AI summary
An image transmission method performed by instructions in an image transmission device including a processor and a memory storing the instructions executable by the processor includes, receiving a video, recognizing an object from the received video, generating metadata of the recognized object, calculating a score of the recognized object using the generated metadata; selecting the recognized object as a main object when the score exceeds a reference value, transmitting the metadata on the selected main object, and transmitting one of an image frame including the main object in the video and a best shot cropped from the image frame.