GASEFIS, UAB (20240331007). VISUAL SEARCH METHOD WITH FEEDBACK LOOP BASED ON INTERACTIVE SKETCH simplified abstract
Contents
VISUAL SEARCH METHOD WITH FEEDBACK LOOP BASED ON INTERACTIVE SKETCH
Organization Name
Inventor(s)
Pranas Japertas of Vilnius (LT)
VISUAL SEARCH METHOD WITH FEEDBACK LOOP BASED ON INTERACTIVE SKETCH - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331007 titled 'VISUAL SEARCH METHOD WITH FEEDBACK LOOP BASED ON INTERACTIVE SKETCH
The disclosure pertains to electronic image processing and e-commerce, specifically visual search with a feedback loop based on interactive sketch for transparency and user control. The method introduces transparency and user control to the visual search process by incorporating an interactive sketch feedback loop.
- Submission of information about the object being searched for by the user
- Identification of product attributes and verification against ontology rules
- Selection of building blocks from a database for filtered attributes
- Connection of selected blocks to form a sketch of the object
- Application of projection rules to produce a form vector
- Comparison of vector with database
- Presenting user with interactive sketch and list of matching products
- Allowing user to select a part of the object in the sketch
- Providing user with possible modifications for the selected part
- Enabling user to select needed modification and re-iterate the search process
Potential Applications: - Enhanced visual search capabilities in e-commerce platforms - Improved user experience and control in online shopping - Streamlined product discovery process for consumers
Problems Solved: - Lack of transparency and user control in traditional visual search methods - Difficulty in accurately conveying search preferences to the system - Limited options for refining search results based on user feedback
Benefits: - Increased user satisfaction and engagement - Higher conversion rates for e-commerce platforms - More efficient and personalized product recommendations
Commercial Applications: Visual search technology can be utilized in various industries such as fashion, home decor, and automotive for enhanced product discovery and customer experience.
Questions about Visual Search with Feedback Loop: 1. How does the interactive sketch feedback loop improve the visual search process for users? 2. What are the potential implications of this technology on the e-commerce industry?
Frequently Updated Research: Stay updated on advancements in visual search algorithms and user interface design to enhance the effectiveness of the feedback loop in the search process.
Original Abstract Submitted
the disclosure relates to the fields of electronic processing of images and e-commerce. specifically-to the visual search with feedback loop based on interactive sketch for transparency and user control. presented method adds transparency and user control to the traditionally “black-box” visual search process by introducing a feedback loop, based on interactive sketch. the method comprises of following main steps: submission of an information about the object being searched for by the user (in a form of image, written text, spoken text or selection of product category from menu in gui), identification of product attributes and verification of identified attributes against the ontology rules, selection of building blocks from database for filtered attributes, connection of selected blocks to form a sketch of object being searched for, application of projection rules to produce a form vector, comparison of vector from previous step with database, presenting user with interactive sketch of product alongside the list of matching products from database, enabling user to select a part of the object in sketch, presenting user with possible modifications for the selected part of the object, enabling user to select needed modification and re-iterate the search process as many times as needed, until the wanted results are achieved.
