Identifying relevant frames in weakly labeled videos for training concept detectors

@inproceedings{Ulges2008IdentifyingRF,
  title={Identifying relevant frames in weakly labeled videos for training concept detectors},
  author={Adrian Ulges and Christian Schulze and Daniel Keysers and Thomas M. Breuel},
  booktitle={CIVR},
  year={2008}
}
A key problem with the automatic detection of semantic concepts (like 'interview' or 'soccer') in video streams is the manual acquisition of adequate training sets. Recently, we have proposed to use online videos downloaded from portals like youtube.com for this purpose, whereas tags provided by users during video upload serve as ground truth annotations. The problem with such training data is that it is weakly labeled: Annotations are only provided on video level, and many shots of a video… CONTINUE READING
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