Classification based group photo retrieval with bag of people features

  title={Classification based group photo retrieval with bag of people features},
  author={Kazuya Shimizu and Naoko Nitta and Yujiro Nakai and Noboru Babaguchi},
This paper proposes a method for retrieving images containing a specific target person from a given image collection of group photos. This can be realized by query-by-example methods which compare the facial visual features of the target person in the given query image and of each person in the images in the image collection. However, since images are often taken under various conditions, facial appearance of the same person can vary. Since socially related people such as family and friends are… CONTINUE READING

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Key Quantitative Results

  • When retrieving images of 24 persons in total from 550 images, after five feedback iterations, the mean average precision of 0.94 was obtained by considering the people co-occurrence relations, as against 0.69 when considering only the target person.


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