Image Feature Extraction Reducing Data Traffic
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Solution Overview
Problem
Current electronic devices face limitations in obtaining detailed analysis information from images due to increased data traffic when improving camera performance, as they often require transmitting large images for analysis, which is inefficient and resource-intensive.
Innovation Solution
An electronic device and server system that extracts features from images locally and transmits only these features to a server for analysis, reducing data traffic and improving analysis reliability by incorporating image processing modules that classify images, select relevant image portions, and utilize additional user information for enhanced analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full image data is transmitted to server for analysis, then analysis information can be obtained, but data traffic increases significantly
Solution Approach 1:
The patent extracts only the essential feature information from images before transmission. The electronic device performs local image processing to identify and extract key features (such as object boundaries, colors, textures, or semantic features) rather than transmitting the complete image data. This extraction process retains the necessary information for accurate analysis while dramatically reducing the data volume that needs to be transmitted to the server.
Solution Approach 2:
The patent segments the image processing task into two parts: local feature extraction performed by the electronic device, and comprehensive analysis performed by the server. This segmentation allows the device to handle the data preprocessing locally, transmitting only the extracted features rather than full images, thereby reducing network traffic while maintaining analysis capability.
2Measurement precision
If camera performance is improved to capture higher quality images, then image detail increases, but image size and data transmission requirements increase
Solution Approach 1:
The patent applies feature extraction to capture the essential visual information from high-quality images without transmitting the complete high-resolution data. By extracting key features (such as dominant colors, object shapes, or semantic characteristics) from the detailed images, the system retains the beneficial detail information needed for analysis while discarding the redundant pixel data that would consume excessive bandwidth.
3Quantity of substance
If feature extraction is performed locally before transmission, then data traffic is reduced, but device processing requirements increase
Solution Approach 1:
The patent implements preliminary action by performing feature extraction locally on the electronic device before transmission occurs. This preprocessing step prepares the data in advance, converting full images into compact feature representations that are ready for efficient transmission. The local processing reduces the burden on the network and server by eliminating redundant data before it enters the transmission pipeline.
Data Source
AI summary
An electronic device comprising: a memory; a communication circuit; and at least one processor operatively coupled to the memory and the communication circuit, configured to: obtain a first image; extract a feature associated with an object depicted in the first image; and control the communication circuit to transmit an indication of the feature to a server; and receive analysis information associated with the object from the server through the communication circuit.