Multimedia information retrieval: what is it, and why isn't anyone using it?
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Watch what I watch: using community activity to understand content
Proceedings of the international workshop on Workshop on multimedia information retrieval
Intelligent browsing of concert videos
Proceedings of the 15th international conference on Multimedia
Breaking the memory wall in MonetDB
Communications of the ACM - Surviving the data deluge
Less talk, more rock: automated organization of community-contributed collections of concert videos
Proceedings of the 18th international conference on World wide web
Arneb: a rich internet application for ground truth annotation of videos
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Comparing compact codebooks for visual categorization
Computer Vision and Image Understanding
The mediamill search engine video
Proceedings of the international conference on Multimedia
Crowdsourcing visual detectors for video search
MM '11 Proceedings of the 19th ACM international conference on Multimedia
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Making a scene: alignment of complete sets of clips based on pairwise audio match
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
An introduction to crowdsourcing for language and multimedia technology research
PROMISE'12 Proceedings of the 2012 international conference on Information Retrieval Meets Information Visualization
Scalable crowd-sourcing of video from mobile devices
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Socially-aware multimedia authoring: Past, present, and future
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012
Hi-index | 0.00 |
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 user-feedback 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.