Palantir technologies inc. (20240202230). SYSTEMS AND METHODS FOR IMAGE SEARCH simplified abstract

SYSTEMS AND METHODS FOR IMAGE SEARCH

Organization Name

palantir technologies inc.

Inventor(s)

Yuntao Li of Baltimore MD (US)

Arjun Ahuja of Jersey City NJ (US)

Filip Balucha of Bratislava (SK)

Henry Warhurst of Kista (SE)

Johannes Heilmann of Munich (DE)

Rayan Myer Krishnan of Sammamish WA (US)

Ryan Nono of Sudbury (CA)

Rick Surya of Santa Clara CA (US)

Saivasudha Chalasani of New York NY (US)

Satwik Anjaneya Pachigolla of San Francisco CA (US)

Vlado Vojdanovski of Washington DC (US)

SYSTEMS AND METHODS FOR IMAGE SEARCH - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240202230 titled 'SYSTEMS AND METHODS FOR IMAGE SEARCH

The patent application describes systems and methods for image search, which involve receiving a query image, recognizing text strings on the image, generating a query vector, conducting first and second image searches based on the query vector and recognized text strings, and generating a query output based on the candidate images.

• The method involves recognizing text strings on the query image to enhance the search process.
• A query vector is generated based on the query image to facilitate the image search.
• Two separate image searches are conducted - one based on the query vector and another based on recognized text strings.
• The final query output is generated by combining the candidate images from both searches.

Potential Applications: - This technology can be used in image search engines to improve the accuracy and relevance of search results. - E-commerce platforms can utilize this method to enhance product search capabilities for users. - Content creators can benefit from more efficient image searches for inspiration and reference.

Problems Solved: - Enhances the accuracy of image searches by utilizing both visual and textual information. - Improves the user experience by providing more relevant search results. - Streamlines the search process by combining different search methodologies.

Benefits: - Increased precision in image search results. - Enhanced user satisfaction with search outcomes. - Improved efficiency in finding relevant images.

Commercial Applications: Title: Advanced Image Search Technology for Enhanced User Experience This technology can be applied in search engines, e-commerce platforms, and content creation tools to improve image search capabilities. By providing more accurate and relevant results, businesses can enhance user satisfaction and engagement, leading to potential increases in conversions and user retention.

Questions about Image Search Technology: 1. How does the method of recognizing text strings on the query image improve the image search process? 2. What are the advantages of conducting separate image searches based on the query vector and recognized text strings?

Original Abstract Submitted

systems and methods for image search are provided. in some embodiments, a method for image search includes receiving a query image, recognizing one or more text strings on the query image, generating a query vector based on the query image, conducting a first image search based at least in part on the query vector to generate one or more first candidate images, conducting a second image search based at least in part on the one or more recognized text strings to generate one or more second candidate images, and generating a query output based on the one or more first candidate images and the one or more second candidate images.