MediaServ: Subscription-based media crowdsourcing for collective events

In this paper we propose resource optimization for subscription based media content crowdsourcing. In this form of crowdsourcing, interested entities (referred to as Campaigners) announce their interests expressing what media content they want to receive from users whereas users subscribe to those interests to serve content satisfying the interests. Campaigners solicit content generated by users by mentioning criteria that the media content should satisfy, for example a noise pollution campaigner who wants to measure noise level of a city, may ask for audio clips recorded at a certain location. Subscribed users voluntarily or on paid terms generate content against those interests. Given that a user may subscribe to different campaign interests, its generated content may satisfy different interests in varying degree of accuracy, we propose methods to evaluate contents based on the degree of satisfaction against the interests, and develop techniques for delivering those contents.