Semantic Storytelling Automation: A Context-Aware and Metadata-Driven Approach
| Autor: | Luís Vilaça, Pieter Jonker, Maria Teresa Andrade, Vasileios Papanikolaou, José Pedro Pinto, Pedro Carvalho, Inês N. Teixeira, Paula Viana, Tiago Costa |
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| Rok vydání: | 2020 |
| Předmět: |
Service (systems architecture)
Multimedia Computer science business.industry 020207 software engineering Context (language use) 02 engineering and technology computer.software_genre Automation Metadata 0202 electrical engineering electronic engineering information engineering Production (economics) 020201 artificial intelligence & image processing Relevance (information retrieval) Social media business computer Storytelling |
| Zdroj: | ACM Multimedia Proceedings of the 28th ACM International Conference on Multimedia |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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