A web-based system for collaborative annotation of large image and video collections: an evaluation and user study

@inproceedings{Volkmer2005AWS,
  title={A web-based system for collaborative annotation of large image and video collections: an evaluation and user study},
  author={Timo Volkmer and John R. Smith and Apostol Natsev},
  booktitle={ACM Multimedia},
  year={2005}
}
Annotated collections of images and videos are a necessary basis for the successful development of multimedia retrieval systems. The underlying models of such systems rely heavily on quality and availability of large training collections. The annotation of large collections, however, is a time-consuming and error prone task as it has to be performed by human annotators. In this paper we present the IBM Efficient Video Annotation (EVA) system, a server-based tool for semantic concept annotation… CONTINUE READING
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