Amazon Technologies, Inc.

Scott Anthony Siegler

Andrew Christopher Chud

Ronnie Dean Gauny

Lionel Bitoun

Arindam Bhattacharya

Arpitkumar Shah

Anirudh Gopalakrishnan

Nitesh K Phatnani

Devices, systems, and methods are provided for enhanced streaming video advertisement integration. A method may include receiving, by a first device, from a second device, a request for advertisement opportunities for a streaming video title; identifying, by the first device, a first advertisement bid for a first advertisement; identifying, by the first device, a second advertisement bid for a second advertisement; sending, by the first device, in response to the request for advertisement opportunities, the first advertisement bid and the second advertisement bid to the second device; sending, by the second device, a request for advertisements to an advertisement server, including the first advertisement bid and the second advertisement bid; receiving, by the second device, a first group of advertisements for a first advertisement opportunity and a second group of advertisements for a second advertisement opportunity of the advertisement opportunities.

Enhanced streaming video advertisement integration

Video content is evaluated to classify one or more scenes or objects of the video content. The classifications may be evaluated against one or more rules for determining whether to include keywords associated with the classifications for targeting supplemental content. Classifications that satisfy the one or more rules may be used for selection of supplemental associated with one or more keywords Selected supplemental content may be included in video content in a break period following primary content.

Adjacent content classification and targeting

Video content is evaluated to classify one or more scenes or objects of the video content. The classifications may be evaluated against one or more rules for determining whether to include key words associated with the classifications for targeting supplemental content. Classifications that satisfy the one or more rules may be used for selection of supplemental associated with one or more key words Selected supplemental content may be included in video content in a break period following primary content.

Supplemental content associated with an advertising campaign may be evaluated by an object recognition service to classify the content using ad classification key words. The classification of the supplemental content may be used, along with publisher content descriptions associated with primary content, to identify targeting criteria for the supplemental content that may have a success metric above a threshold. Past campaigns deployed against primary content having similar publisher content descriptions may be evaluated to determine how certain key words or targeting criteria perform. If historical results are positive, the targeting criteria may be added to existing campaigns or approved for existing campaigns. Predicted success of the targeting criteria may be used to provide recommendations to users who control which primary content the supplemental content should be included.

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Redwood City, CA, United States of America

Scott Anthony Siegler