Higher-Order Occurrence Pooling for Bags-of-Words: Visual Concept Detection

@article{Koniusz2016HigherOrderOP,
  title={Higher-Order Occurrence Pooling for Bags-of-Words: Visual Concept Detection},
  author={Piotr Koniusz and Fei Yan and Philippe-Henri Gosselin and Krystian Mikolajczyk},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2016},
  volume={39},
  pages={313-326}
}
In object recognition, the Bag-of-Words model assumes: i) extraction of local descriptors from images, ii) embedding the descriptors by a coder to a given visual vocabulary space which results in mid-level features, iii) extracting statistics from mid-level features with a pooling operator that aggregates occurrences of visual words in images into signatures, which we refer to as First-order Occurrence Pooling. This paper investigates higher-order pooling that aggregates over co-occurrences of… CONTINUE READING
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