The crowd sourcing solution is designed for large amounts of user-generated multimedia. playence uses its technology combined with human computation via casual, social games to create video descriptions. This enables search and contextual video advertising.

Screenshots

Challenges

• User-generated multimedia lacks detailed descriptions.
• Wide variety of topics and quality.
• Dynamic, rapidly changing content.
• Search capabilities are limited due to missing annotations.
• Contextual advertising is limited.

Solution

The annotation of user-generated video typically requires substantial manual input. First, we pre-process the content with our annotation backend in order to create as many annotations automatically as possible. The manual input is acquired though online casual games by hiding the task of annotation behind online games. The output of the games in then translated into semantic annotations in the gaming backend.

playence crowd is the solution for owners of user-generated multimedia content. Data produced by playence crowd can enable contextual advertising for multimedia.

Features

• Exploit collective intelligence for semantic annotation of multimedia.
• Metadata for serving accurate in video ads and search.
• Advertisers can understand consumer behavior and target better.
• Multimedia publishers can monetize and accurately locate content.
• Web users get more relevant ads.
• Game theme targeting specific population segments and interests (e.g. Sports, history, etc.).
• Game design targeting various goals
• Games design, integration and configuration to meet data gathering needs (i.e. campaigns).
• Game plug‐ins for the most popular on‐line social networks.

Check out our game on http://games.playence.com

This project is partially funded by the AWS Creative Industries funding line.



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