Oath Inc.

Yahoo! Inc.

Verizon Patent and Licensing Inc.

Verizon Media Inc.

Ioannis Kalantidis

Lyndon Kennedy

David Ayman Shamma

Bart Thomee

Clayton Ellis Mellina

Bart Thomée

Jia Li

Ayman Farahat

Gerry Pesavento

Austin William Shoemaker

Ricardo Alberto Baeza-Yates

Simon Kayode Osindero

Simon Osindero

Andrew Douglas Stadlen

Daniel Jeffrey Tasse

Tobias Baumgartner

Disclosed are systems and methods for improving interactions with and between computers in content providing, generating, securing and/or hosting systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the security and quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide added security features and functionality to media files through computerized, automated encoding and decoding of portions of media file content such that identified portions of the content are obfuscated upon display and communication to other users. The disclosed systems and methods provide a novel, computerized security feature(s) that protects data of media files from unintended exposure to third parties. The disclosed security features automatically prevent personal and/or private information from unwanted viewing and access from unauthenticated users.

Computerized system and method for modifying a media file by automatically applying security features to select portions of media file content

Embodiments of methods and/or systems for constructing one or more online ads using one or more media objects created using one or more generative processes are disclosed.

Systems and/or methods for constructing online ads using media objects created by generative processes

One or more computing devices, systems, and/or methods for selective content insertion into areas of media objects are provided. For example, a media object (e.g., an image or video), is selected for composition with content, such as where a message, interactive content, a hyperlink, or other types of content is overlaid or embedded into the media object to create a composite media object. The content is added into an area of the media object that is selectively identified to reduce occlusion and/or improve visual cohesiveness between the content and the media object (e.g., added to an area with a similar or complimentary color, having an adequate size with spare amounts of visual features such as a soccer player, a ball, or other entity, etc.). In this way, the content may be add into the area of the media object to create a composite media object to provide to users.

Selective content insertion into areas of media objects

One or more computing devices, systems, and/or methods for providing content sharing recommendations are provided. For example, signals, associated with a user (e.g., a location of the user, an event occurring near the user, an activity being performed by the user, content of a message recently received by the user or being composed by the user, etc.), are evaluated to identify a context associated with the user (e.g., the user may be composing a social network post about a basketball game that the user is attending). The context is applied to content (e.g., photos, videos, documents, webpages, etc.), available to the user, to create contextualized content indicative of how appropriate or relevant such content is given the context (e.g., a basketball game photo may be more relevant than a work document). A content sharing recommendation of contextualized content may be provided to the user.

Content sharing recommendations

Disclosure includes system, method and architecture for selecting supplemental digital content using visual appearance. Digital content that is visually similar, or dissimilar, to digital content requested by a user can he identified and provided for presentation with the requested content. The additional digital content is visually congruent, or visually incongruent, with content requested by a user, such that the additional content is similar, or dissimilar, to the requested content from a visual standpoint. In a presentation of the requested content, the presentation position of each additional content item relative to the presentation position of each requested content can be identified using visual congruence, or visual incongruence.

Method and system for selecting supplemental content using visual appearance

A digital document is represented as a set of codes comprising indices into a feature space comprising a number of subspaces, each code corresponds to one subspace and identifying a cell within the subspace. Each digital document can be represented by a code set, and the code set can be used as selection criteria for identifying a number of digital documents using each digital document's corresponding code set. By way of some non-limiting examples, digital document code sets can be used to identify similar or different digital images, used to identify duplicate or nearly-duplicate digital images, used to identify similar and/or different digital images for inclusion in a recommendation, used to identify and rank digital images in a set of search results.

Locally optimized feature space encoding of digital data and retrieval using such encoding

Techniques are provided for efficiently identifying relevant product images based on product items detected in a query image. In general, a query image may represent a digital image in any format that depicts a human body and one or more product items. For example, a query image may be an image for display on a webpage, an image captured by a user using a camera device, or an image that is part of a media content item, such as a frame from a video. Product items may be detected in a query image by segmenting the query image into a plurality of image segments and clustering one or more of the plurality image segments into one or more image segment clusters. The resulting image segments and image segment clusters may be used to search for visually similar product images.

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San Francisco, CA, United States of America

Ioannis Kalantidis