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Photobook generation algorithms

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Abstract

Photobooks are comfortable and attractive solution for personal photo printing and storing. Photobook generation requires a lot of manual operations and takes a lot of time. Automation process will involve new users and allow making more photobooks. The algorithms should be quite fast, adjusted by user’s predilections and habits and ensure satisfied quality of work. We propose several adaptive photobook generation algorithms: photo quality recognition based on active learning, event-aware photo grouping, attractive photos selection, automatic photos layout through photobook pages, collage generation. We also suggest approaches to algorithms adjustment by user preferences on-the-fly.

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Authors and Affiliations

  1. National Research Nuclear University MEPhI, Kashirskoe sh., 31, Moscow, 115409, Russia

    M. A. Egorova & I. V. Safonov

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  1. M. A. Egorova
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  2. I. V. Safonov
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Correspondence to M. A. Egorova.

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Egorova, M.A., Safonov, I.V. Photobook generation algorithms. Pattern Recognit. Image Anal. 21, 477–480 (2011). https://doi.org/10.1134/S1054661811020295

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