Wireless Dockee Image Retrieval via Feature Descriptors
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Solution Overview
Problem
Users face difficulties in accessing specific images or documents within large sets of digital materials, especially in wireless docking systems where visual content is interspersed among other information, making it challenging to locate desired images or graphical figures.
Innovation Solution
A wireless docking system environment is developed where a wireless dockee device can configure peripheral functions, analyze images, and retrieve information relevant to the images by determining attributes such as feature descriptors, and selecting matching items from a wireless docking center, allowing for image-based document retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users search through large sets of digital materials using query words, then they can access materials they can remember, but it becomes difficult to locate desired images or graphical figures in highly visual representations
Solution Approach 1:
The patent replaces text-based query mechanisms with image-based query mechanisms. Instead of using keyboard input and text search algorithms, the system captures an image with a camera and uses image processing algorithms to extract visual features and find matching documents, substituting the mechanical text search process with an optical recognition process
Solution Approach 2:
The patent introduces an image processing intermediary layer between the user query and the document database. The captured image is processed to extract visual features, which then serve as the intermediary key to search the document database for matching content, bridging the gap between visual input and text-based storage
2Productivity
If users attempt to query file systems on peripheral devices in wireless docking systems, then they can access stored materials, but it becomes difficult to find particular pages within collections of pages
Solution Approach 1:
The system performs preliminary indexing of visual features from document images before the search query is executed. By pre-processing and storing visual特征 of document pages, the system enables rapid retrieval when a query image is presented, avoiding the need to scan through all pages during the actual search
Solution Approach 2:
The patent transforms the search parameter from text-based queries to image-based queries. By changing the fundamental search parameter from keywords to visual features extracted from captured images, the system enables direct visual matching against indexed document content, dramatically reducing search time
3Adaptability or versatility
If image search is performed on peripheral devices through wireless docking center, then users can retrieve relevant documents, but the system complexity increases
Solution Approach 1:
The wireless docking center is designed to perform multiple functions: it manages peripheral device connections, handles data transmission, and executes image processing algorithms for document retrieval. By making the docking center multi-functional, the patent avoids adding separate dedicated hardware for each function, thereby managing system complexity while providing versatile capabilities
Data Source
AI summary
In one example, a system and method includes acquiring, by a wireless dockee (WD), an image, initiating a wireless connection between the wireless dockee (WD) and a wireless docking center (WDC) having one or more peripherals, determining attributes associated with the acquired image, wherein the attributes include feature descriptors, receiving, at the WD and from the WDC, information representative of matching items stored on one or more of the peripherals, wherein the matching items include images with attributes similar to the attributes associated with the acquired image, selecting, at the WD and as a function of the information representative of the matching items, one or more of the matching items, and receiving, from the one or more of the peripherals, the selected matching items.