Shutterstock, Inc.

Steve Blaurock

Chris Becker

David Kroner

Roger Beaman

A method for receiving a request for a design template from a client device, the design template including a dynamic media file indicator is provided. The request includes collecting user information indicative of a location of the client device, a demographic datum of a user associated with the client device, or a language of the user associated with the client device, and selecting a media file from a database of media files based on the user information. The method also includes modifying the design template based on the user information to include the media file and providing the design template comprising the media file for display by the client device. A computer-readable medium including commands and a system including a processor to execute the commands and perform the above method are also provided.

Dynamic image search engine for personalized image editing

Methods and systems for searching images in response to a keyword and color palette selection criteria. The method comprising: searching a first database to locate a set of pertinent images satisfying a keyword and color palette selection criteria; displaying the set of pertinent images and the set of colors; generating a set of suggested color palettes; displaying on the user interface the set of pertinent images which match the keyword and the single color specified by the single color option; displaying the set of pertinent images which match the combination specified by the first set of colors; dynamically extracting and displaying the color palette from a first image in response to receiving an input indicating a cursor hovering over the first image; and performing a first set of operations in response to receiving a user selected color palette extracted from the first image.

Systems and methods for color pallete suggestion

A method and system for ranking images in response to a user presenting search criteria on a user interface of a computing device, comprising (1) searching a first database to locate a set of pertinent images satisfying the search criteria, (2) extracting a set of suggested color palettes from the set of images, (3) processing each color palette from the set of suggested color palettes by iteratively performing the following operations: (a) identifying a next color palette, (b) identifying a set of images from which the next color palette is extracted from, (c)) determine a set of parameters of a first set of operations, and (d) ascertaining an image rank measure for each image from the set of images by performing the first set of operations, and (4) generating a ranked display of the set of images based on the image rank measure.

Systems and methods for presenting ranked search results

A method and system for conducting image search comprising: searching a first database to locate a set of pertinent images, iteratively performing the following operations for each image in the set of pertinent images: (a) extracting the histogram of red green and blue colors (RGB colors) from a given image; (b) distilling the extracted RGB colors down to create a reduced color palette for the given image; (c) segmenting the extracted RGB colors into a set of segments representing distinct parts of the color spectrum; (d) selecting a subset of segments to assemble a color palette for the given image; and (e) updating the assembled color palette and the customer behavior score for the given image in the first database; and generating a display of suggested color palettes for the search query.

Display of suggested color palettes with images responsive to search queries

A method and system for conducting image search is provided that includes searching a first database to locate a set of pertinent images, iteratively performing the following operations for each image in the set of pertinent images (a) extracting the histogram of red green and blue colors (RGB colors) from a given image (b) distilling the extracted RGB colors down to create a reduced color palette for the given image (c) segmenting the extracted RGB colors into a set of segments representing distinct parts of the color spectrum; (d) selecting a subset of segments to assemble a color palette for the given image; (e) updating the assembled color palette and the customer behavior score for the given image in the first database; and generating a ranked display of suggested color palettes for the search query by aggregating the customer behavior scores for the search query across all images.

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Queens, NY, United States of America

Steve Blaurock