Pinterest, Inc.

Dmitry Olegovich Kislyuk

Eric Kim

Andrew Huan Zhai

Kelei Xu

Naveen Gavini

Jeffrey Mark Harris

David Ding-Jia Xue

Rohan Mahadev

Anton Herasymenko

Kevin Yushi Jing

Yiming Jen

Nadia Fawaz

Ryan Wilson Probasco

David Temple

Graham Roth

Christopher Lee Schaefbauer

Adam Jay Barton

Valerie Moy

Bhawna Juneja

Anh Tuong Ta

Marcelo Reis E Silva De Queiroz

William Yau

Jordan DiSanto

Ding Zhang

David Voiss

Yushi Jing

Andrey Dmitriyevich Gusev

Steven Ramkumar

Albert Pereta Farre

Luke Zhao

Evrhet Milam

Tiffany C Black

Maesen Churchill

Will Fu

Yue Li Du

Zhefei Yu

Zhiyuan Zhang

Described is a system and method for enabling dynamic selection of a search input. For example, rather than having a static search input box, the search input may be dynamically positioned such that it encompasses a portion of displayed information. For example, a user may touch a touch-based display using two fingers to invoke the dynamic search input and then determine a size and a position of the dynamic search input by moving their fingers on the display. An image segment that includes a representation of the encompassed portion of the displayed information is generated and processed to determine an object represented in the portion of the displayed information. Additional images with visually similar representations of objects are then determined and presented to the user.

Dynamic search control invocation and visual search

Disclosed are implementations that enable the linking or connection of objects and different scenes in which those objects are represented. For example, a corpus of scenes (e.g., digital images) that include a representation of one or more objects may be processed using the disclosed implementations to segment from those scenes the individual objects represented in those scenes. The disclosed implementations may further determine clusters of visually similar object segments and form object clusters for those object segments. The scenes that include those object segments are also linked to the object cluster. With scenes linked to different object clusters, a user may select one or more query objects or a query scene and be presented with other scenes that include visually similar objects, even though the overall scenes may be visually different.

Visual object graphs

Described are systems and methods to extract image segments from an image and include those extracted image segments in a collage. The origin information, such as the source image, source image location, etc., from which the extracted image segment is generated is maintained as metadata so that interaction with the extracted image segment on the collage can be used to determine and/or return to the origin of the extracted image segment. Collages may be updated, shared, adjusted, etc., by the creator of the collage or other users.

Extracted image segments collage

Described are systems and methods to determine hair patterns presented in content items. The determined hair patterns may be associated with the content items to facilitate indexing, filtering, etc. of the content items based on the determined hair patterns. In exemplary implementations, a corpus of content items may be associated with an embedding vector that includes a binary representation of the content item. The embedding vectors associated with each content item can be provided as inputs to a trained machine learning model, which can process the embedding vectors to determine one or more hair patterns presented in each content item while eliminating the need for performing image pre-processing prior to determination of the hair pattern(s) presented in the content item.

Hair pattern determination and filtering

Described is a system and method for enabling visual search for information. With each selection of an object included in an image, additional images that include visually similar objects are determined and presented to the user.

Textual and image based search

Disclosed are systems and methods that authenticate non-fungible tokens ('NFT') and/or digital data represented by or pointed to by an NFT. In some implementations, authentication may be with respect to an existing NFT. In other implementations, authentication may be with respect to an NFT that is being created. The disclosed implementations may compare a candidate and/or candidate NFT data with existing NFTs and/or existing NFT data to determine if the candidate NFT and/or candidate NFT data is similar to other NFTs and/or other NFT data of another NFT, which may exist on any of many different blockchains.

Non-fungible token authentication

Object based image search

Described is a system and method for enabling dynamic selection of a search input. For example, rather than having a static search input box, the search input may be dynamically positioned such that it encompasses a portion of displayed information. An image segment that includes a representation of the encompassed portion of the displayed information is generated and processed to determine an object represented in the portion of the displayed information. Additional images with visually similar representations of objects are then determined and presented to the user.

Dynamic search input selection

Object-to-object visual graph

Mixed type image based search results

Growing community of inventors

San Francisco, CA, United States of America

Dmitry Olegovich Kislyuk