Mobile Image Recognition Bandwidth Reduction via Feature Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing mobile visual searching and image recognition systems require substantial bandwidth and resources to transmit and process images, leading to inefficiencies in identifying objects of interest and delivering relevant information content in a timely manner.
Innovation Solution
A mobile device acquires and preprocesses images to extract salient feature clusters, generating a visual search query that includes metadata and contextual data, which is then communicated to a remote server for efficient object recognition and information retrieval, reducing bandwidth requirements and enhancing processing speed and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the mobile device transmits the entire acquired image to the server for recognition, then the server can perform comprehensive image analysis, but the bandwidth consumption and transmission time increase substantially
Solution Approach 1:
The patent extracts only the essential visual features and metadata from the acquired image rather than transmitting the entire image. The mobile device processes the image locally to extract salient features, object descriptions, and contextual metadata, then transmits only this extracted information to the server, significantly reducing bandwidth consumption while maintaining recognition accuracy
Solution Approach 2:
The patent segments the image processing task between the mobile device and the server. The mobile device performs preliminary processing including feature extraction, object detection, and metadata generation. The server then performs higher-level recognition and information retrieval based on the segmented features, dividing the workload to optimize both accuracy and efficiency
2Measurement precision
If the server performs one-to-one matching of the entire image with the advertisement database, then accurate matching can be achieved, but the processing time increases to thirty to sixty seconds
Solution Approach 1:
The patent performs preliminary actions on the image before server processing. The mobile device extracts visual features, generates object descriptions, and creates metadata that pre-characterizes the image content. This preliminary processing enables the server to quickly filter and match advertisements without performing time-consuming one-to-one matching of entire images
Solution Approach 2:
The patent transforms the image into different parameter representations including extracted visual features, metadata tags, and contextual information. Instead of matching based on raw pixel data, the system matches based on transformed parameters such as object descriptions, feature vectors, and metadata, which enables faster comparison and retrieval
3Adaptability or versatility
If the system processes and transmits complete images for visual searching, then comprehensive search results can be obtained, but the bandwidth requirements and resource consumption increase substantially
Solution Approach 1:
The system extracts only the necessary visual features and metadata required for effective image recognition and search. Instead of transmitting complete images, the mobile device extracts salient features, object descriptions, and contextual information, transmitting only this essential data to the server for processing and matching
Solution Approach 2:
The system performs partial processing of the image by extracting only the most relevant features and metadata needed for search and recognition tasks. This partial action approach processes only the essential portions of the image data required for effective matching, reducing overall resource consumption while maintaining search effectiveness
Data Source
AI summary
Implementations relate to systems and methods for real-time image recognition and mobile visual searching. A mobile device, such as a cellular phone, acquires an image and pre-processes the acquired image to generate a visual search query based on objects detected in the acquired image. The visual search query includes the acquired image or a query image extracted therefrom and metadata associated with the detected objects. The mobile device wirelessly communicates the visual search query to a remote server, and in response to the visual search query, the remote server recognizes an object in the query image based on the associated metadata. The remote server then generates information content based on the recognized object and communicates the information content to the mobile device to be presented via the mobile device.