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Story Albums: Creating Fictional Stories From Personal Photograph Sets
Author(s) -
Radiano O.,
Graber Y.,
Mahler M.,
Sigal L.,
Shamir A.
Publication year - 2018
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.13099
Subject(s) - computer science , narrative , depiction , graph , comics , salient , encode , avatar , mirroring , focus (optics) , animation , visual arts , artificial intelligence , computer graphics (images) , art , human–computer interaction , communication , psychology , literature , theoretical computer science , biochemistry , chemistry , physics , optics , gene
We present a method for the automatic creation of fictional storybooks based on personal photographs. Unlike previous attempts that summarize such collections by picking salient or diverse photos, or creating personal literal narratives, we focus on the creation of fictional stories. This provides new value to users, as well as an engaging way for people (especially children) to experience their own photographs. We use a graph model to represent an artist‐generated story, where each node is a ‘frame’, akin to frames in comics or storyboards. A node is described by story elements, comprising actors, location, supporting objects and time. The edges in the graph encode connections between these elements and provide the discourse of the story. Based on this construction, we develop a constraint satisfaction algorithm for one‐to‐one assignment of nodes to photographs. Once each node is assigned to a photograph, a visual depiction of the story can be generated in different styles using various templates. We show results of several fictional visual stories created from different personal photo sets and in different styles.