Abstract
Photo books are a convenient and attractive product for printing and storage of personal photographs. However, the creation of a photo book requires a lot of manual work and time. The automation of operations will attract new users and will make it possible to create more photo books. Algorithms should be sufficiently fast enough, tune in to the tastes and habits of the user, and ensure a quality of work that satisfies the user. We propose several adaptive algorithms for creating photo books, i.e., the recognition of normal quality photos based on active learning, clustering images by event, selection of the most attractive photos, automatic placement of images on the page, and creation of collages. Approaches are also proposed for the adjustment of algorithms to the tastes and habits of the user in the process of operation.
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