Paper in ECCV Workshop 2012: “Weakly Supervised Learning of Object Segmentations from Web-Scale Videos”

 Citation

• G. Hartmann, M. Grundmann, Judy Hoffman, D. Tsai, V. Kwatra, Omid Madani, S. Vijayanarasimhan, Irfan Essa, J. Rehg, and R. Sukthankar (2012), “Weakly Supervised Learning of Object Segmentations from Web-Scale Videos,” in Proceedings of ECCV 2012 Workshop on Web-scale Vision and Social Media, 2012. [PDF] [DOI] [BIBTEX]

  @InProceedings{ 2012-Hartmann-WSLOSFWV,
  author  = {Glenn Hartmann and Matthias Grundmann and Judy
  Hoffman and David Tsai and Vivek Kwatra and Omid
  Madani and Sudheendra Vijayanarasimhan and Irfan
  Essa and James Rehg and Rahul Sukthankar},
  booktitle  = {Proceedings of ECCV 2012 Workshop on Web-scale
  Vision and Social Media},
  doi = {10.1007/978-3-642-33863-2_20},
  pdf = {http://www.cs.cmu.edu/~rahuls/pub/eccv2012wk-cp-rahuls.pdf},
  title = {Weakly Supervised Learning of Object Segmentations
  from Web-Scale Videos},
  year = {2012}
  }

Abstract

We propose to learn pixel-level segmentations of objects from weakly labeled (tagged) internet videos. Especially, given a large collection of raw YouTube content, along with potentially noisy tags, our goal is to automatically generate spatiotemporal masks for each object, such as dog”, without employing any pre-trained object detectors. We formulate this problem as learning weakly supervised classiers for a set of independent spatio-temporal segments. The object seeds obtained using segment-level classiers are further rened using graphcuts to generate high-precision object masks. Our results, obtained by training on a dataset of 20,000 YouTube videos weakly tagged into 15 classes, demonstrate automatic extraction of pixel-level object masks. Evaluated against a ground-truthed subset of 50,000 frames with pixel-level annotations, we conrm that our proposed methods can learn good object masks just by watching YouTube.
Presented at: ECCV 2012 Workshop on Web-scale Vision and Social Media, 2012, October 7-12, 2012, in Florence, ITALY.
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