Short video metadata acquisition game

Gathering proper descriptive metadata for multimedia resources is nowadays essential for effective information processing, recommendation and personalization. And, we still need to employ human workforce in crowdsourcing scenarios for solving particular metadata acquisition tasks. In this paper we present a human computation game, which acquires metadata for short videos found in the Vine social media service. Player's task is to watch a given short video (without any further description) and formulate a search query, which will make that video appear in top results of the search. The player queries are then processed for keywords characterizing the videos. Our experiments show, that these keywords are both correct and from the great part, represent new information atop existing video descriptions.