Bridging the Aesthetic Gap: The Wild Beauty of Web Imagery

  title={Bridging the Aesthetic Gap: The Wild Beauty of Web Imagery},
  author={Miriam Redi and Frank Z. Liu and Neil O'Hare},
To provide good results, image search engines need to rank not just the most relevant images, but also the highest quality images. To surface beautiful pictures, existing computational aesthetic models are trained with datasets from photo contest websites, dominated by professional photos. Such models fail completely in real web scenarios, where images are extremely diverse in terms of quality and type (e.g. drawings, clip-art, etc). This work aims at bridging and understanding this "aesthetic… CONTINUE READING

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