Google Inc.

Thomas Bugnon

Matthew Nirvan Sharifi

Dominik Roblek

Yossi Matias

Annie Chen

Hanna Pasula

Jay Yagnik

Gheorghe Postelnicu

Yaniv Bernstein

Thomas Chadwick Walters

Luciano Sbaiz

King Hong Thomas Leung

Matthias Rochus Konrad

Nicholas Johnson

Kevin Song Zhu

Vishaal Prasad

Arthur Gaudriot

Keith Wedelich

Julian Bill

George Huang

Sha Chang

Jacob Levine

Methods, systems, and media for determining and presenting information related to embedded sound recordings are provided. In some embodiments, the method comprises: receiving a content item; extracting a sound recording from the content item; generating a melody fingerprint of the extracted sound recording; determining whether the melody fingerprint of the extracted sound recording matches one of a plurality of clusters of similar sounding sound recordings in a reference database, wherein each cluster in the plurality of clusters of similar sounding sound recordings is associated with ownership information based on a plurality of ownership information associated with each of the sound recordings in the cluster; in response to determining that the melody fingerprint of the extracted sound recording matches a cluster of similar sounding sound recordings, retrieving ownership information associated with the cluster; mapping the ownership information to the sound recording extracted from the content item; and causing an action to be performed on the content item based on the mapped ownership information.

Methods, systems, and media for rights management of embedded sound recordings using composition clustering

Systems and methods for media aggregation are disclosed herein. The system includes a media system that can transform media items into one aggregated media item. A synchronization component synchronizes media items with respect to time. The synchronized media items can be analyzed and transformed into an aggregated media item for storage and/or display. In one implementation, the aggregated media item is capable of being displayed in multiple ways to create an enhanced and customizable viewing and/or listening experience.

Aggregation of related media content

Aggregation on related media content

Provided content is determined to contain an asset represented by reference content by comparing digital fingerprints of the provided content and the reference content. The fingerprints of the reference content and the provided content are generated using a convolutional neural network (CNN). The CNN is trained using a plurality of frame triplets including an anchor frame representing the reference content, a positive frame which is a transformation of the anchor frame, and a negative frame representing content that is not the reference content. The provided content is determined to contain the asset represented by the reference content based on a similarity measure between the generated fingerprints. If the provided content is determined to contain the asset represented by the reference content, a policy associated with the asset is enforced on the provided content.

Automatic learning of a video matching system

A system and method for evaluating claims is disclosed. The system comprises a selection module, a query module, a communication module and a determination module. The selection module determines a review set including one or more claims based at least in part on claim data. The query module determines, based at least in part on the review set, an evaluation form including one or more queries associated with a first claim. The communication module receives answer data describing one or more answers responsive to the one or more queries included in the evaluation form. The determination module determines a validity decision associated with the first claim based at least in part on the answer data.

Claim evaluation system

Growing community of inventors

Zurich, Switzerland

Thomas Bugnon