Tubi Limited

John Trenkle

Qiang Chen

Chang She

Jaya Kawale

Marios Assiotis

Amir Mazaheri

Dennis Paul Yost

Kevin Edward Corcoran

Matthew Adam Elliott

Anthony Albert Truyoo-Broque

Snehal Mistry

Rameen Mahdavi

System and methods for intuitive search operation results using machine learning including: identifying a first candidate content item matching a content item search request; identifying a first content item model corresponding to the first candidate content item including word vector collaborative filtering representations of the first candidate content item; identifying a set of content item models where each: is associated with at least one corresponding available content item, and includes word vector collaborative filtering representations; applying deep neural learning to compare the first content item model with the set of content item models to generate a subset of the content item models most relevant to the first content item model; generating a result set of available content items corresponding to the subset of the content item models most relevant to the first content item model; and providing the result set of available content items.

Intuitive content search results suggestion system

A system and method for multimedia scene break detection, including: a computer processor, a scene break detection service executing on the computer processor and comprising functionality to: (i) receive a request for scene break detection on the media item, (ii) perform audio break detection on an audio component of the media item to obtain a set of audio break timestamps, (iii) identify a set of video break timestamps, each corresponding to at least one frame of a video component of the media item, (iv) identify a set of candidate scene break timestamps based on the audio break timestamps and the video break timestamps, (v) execute a computer vision scoring model for each candidate scene break timestamp, and (vi) select, based at least on a score of each of the set of candidate scene break timestamps, a final set of scene break timestamps for performing a media action.

Multimedia scene break detection

Growing community of inventors

Albany, CA, United States of America

John Trenkle