Visual Search Assistant with Offline Image Signatures
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Solution Overview
Problem
Traditional text-based search methods are inefficient and fail to effectively communicate user search intent, leading to irrelevant results and a lack of personalized answers in online searches, especially in large product databases.
Innovation Solution
An intelligent personal assistant system that leverages scalable AI integrated into messaging platforms, utilizing a knowledge graph and machine learning to identify user intents and provide personalized answers through predictive communication turns, supporting various input modalities like images, voice, and text.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional text-based search methods are used, then the search system is simple to operate, but the search efficiency is low and relevant results are difficult to obtain
Solution Approach 1:
The patent replaces traditional text-based mechanical search with image-based visual search. Users capture or upload images of products, and the system performs visual recognition and matching to find relevant products. This substitution fundamentally changes the search interaction from text input to image input, dramatically improving search efficiency and relevance while maintaining ease of use through intuitive image capture.
Solution Approach 2:
The patent introduces an image as an intermediary between the user and the product database. Instead of directly searching through text databases, the user's image query is processed through visual recognition algorithms that extract features and match them with product images. This intermediary layer enables more accurate and efficient product discovery while simplifying the user interface.
2Quantity of substance
If online searches include billions of products, then the product database is comprehensive, but irrelevant results are shown and comparison searching becomes difficult
Solution Approach 1:
The patent replaces text-based query processing with image-based visual recognition. The visual search system extracts features directly from product images, enabling precise matching based on visual characteristics rather than text descriptions. This substitution significantly improves search intent accuracy by capturing the user's actual visual interest in the product, filtering out irrelevant results even from billions of products.
Solution Approach 2:
The patent utilizes visual features including color, shape, texture, and pattern recognition to identify and match products. By analyzing these visual characteristics in the uploaded image, the system can distinguish relevant products from irrelevant ones in the massive database, maintaining high search intent accuracy despite the large scale of the product database.
3Ease of operation
If text-based search refinement is used, then the search process can be iterated, but the process is time-consuming and user experience is poor
Solution Approach 1:
The patent replaces iterative text-based refinement with direct image-based visual matching. Instead of requiring users to repeatedly modify text queries to improve results, the system processes the image query and provides relevant product matches immediately. This substitution dramatically reduces search time while improving user experience through intuitive visual interaction and accurate result delivery.
Data Source
AI summary
Systems, methods, and computer program products for identifying a candidate product in an electronic marketplace based on a visual comparison between candidate product image visual content and input query image visual content. Embodiments generate and store descriptive image signatures from candidate product images or selected portions of such images. A subsequently calculated visual similarity measure serves as a visual search result score for the candidate product in comparison to an input query image. Any number of images of any number of candidate products may be analyzed, such as for items available for sale in an online marketplace. Image analysis results are stored in a database and made available for subsequent automated on-demand visual comparisons to an input query image. The embodiments enable substantially real time visual based product searching of a potentially vast catalog of items.