In this technical demonstration, we showcase a multimedia search engine that facilitates semantic access to archival rock n' roll concert video. The key novelty is the crowdsourcing mechanism, which relies on online users to improve, extend, and share, automatically detected results in video fragments using an advanced timeline-based video player. The userfeedback serves as valuable input to further improve automated multimedia retrieval results, such as automatically detected concepts and automatically transcribed interviews. The search engine has been operational online to harvest valuable feedback from rock n' roll enthusiasts.
A crowd-sourcing system for retrieval of rock'n'roll multimedia data has been presented by Snoek et al. REF , which relies on online users to improve, extend, and share, automatically detected results in video fragments.
Crowdsourcing rock n' roll multimedia retrieval
ACM Multimedia
Computer Science