Annotation Propagation in Large Image Databases via Dense Image Correspondence

@inproceedings{Rubinstein2012AnnotationPI,
  title={Annotation Propagation in Large Image Databases via Dense Image Correspondence},
  author={Michael Rubinstein and Ce Liu and William T. Freeman},
  booktitle={ECCV},
  year={2012}
}
  • Michael Rubinstein, Ce Liu, William T. Freeman
  • Published in ECCV 2012
  • Computer Science
  • Our goal is to automatically annotate many images with a set of word tags and a pixel-wise map showing where each word tag occurs. Most previous approaches rely on a corpus of training images where each pixel is labeled. However, for large image databases, pixel labels are expensive to obtain and are often unavailable. Furthermore, when classifying multiple images, each image is typically solved for independently, which often results in inconsistent annotations across similar images. In this… CONTINUE READING

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