Semantic Storytelling Automation: A Context-Aware and Metadata-Driven Approach

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2020

Autores

Viana, P (Autor) Outra; Pedro Carvalho (Autor) Outra; Maria Teresa Andrade (Autor) FEUP; Jonker, PP (Autor) Outra; Papanikolaou, V (Autor) Outra; Teixeira, IN (Autor) Outra; Vilaça, L (Autor) Outra; Pinto, JP (Autor) Outra; Costa, T (Autor) Outra

Ata de Conferência Internacional

Título: MM '20: The 28th ACM International Conference on Multimedia, Virtual Event / Seattle, WA, USA, October 12-16, 2020

Páginas: 4491-4493

Indexação

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00S-TBY

DOI: 10.1145/3394171.3416528

Abstract (EN): Multimedia content production is nowadays widespread due to technological advances, namely supported by smartphones and social media. Although the massive amount of media content brings new opportunities to the industry, it also obfuscates the relevance of marketing content, meant to maintain and lure new audiences. This leads to an emergent necessity of producing these kinds of contents as quickly and engagingly as possible. Creating these automatically would decrease both the production costs and time, particularly by using static media for the creation of short storytelling animated clips. We propose an innovative approach that uses context and content information to transform a still photo into an appealing context-aware video clip. Thus, our solution presents a contribution to the state-of-the-art in computer vision and multimedia technologies and assists content creators with a value-added service to automatically build rich contextualized multimedia stories from single photographs. © 2020 Owner/Author.

Idioma: Inglês

Tipo (Avaliação Docente): Científica