Visual Storytelling
| Autor: | Aishwarya Agrawal, Ting-Hao Kenneth Huang, Pushmeet Kohli, C. Lawrence Zitnick, Nasrin Mostafazadeh, Ross Girshick, Jacob Devlin, Dhruv Batra, Lucy Vanderwende, Xiaodong He, Devi Parikh, Francis Ferraro, Margaret Mitchell, Ishan Misra, Michel Galley |
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| Rok vydání: | 2016 |
| Předmět: |
business.industry
Computer science 02 engineering and technology 010501 environmental sciences computer.software_genre 01 natural sciences Literal and figurative language Task (project management) Expression (architecture) Benchmark (surveying) Metric (mathematics) 0202 electrical engineering electronic engineering information engineering Visual storytelling 020201 artificial intelligence & image processing Artificial intelligence business computer Natural language processing 0105 earth and related environmental sciences Storytelling |
| Zdroj: | Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. |
| Popis: | We introduce the first dataset for sequential vision-to-language, and explore how this data may be used for the task of visual storytelling. The first release of this dataset, SIND1 v.1, includes 81,743 unique photos in 20,211 sequences, aligned to both descriptive (caption) and story language. We establish several strong baselines for the storytelling task, and motivate an automatic metric to benchmark progress. Modelling concrete description as well as figurative and social language, as provided in this dataset and the storytelling task, has the potential to move artificial intelligence from basic understandings of typical visual scenes towards more and more human-like understanding of grounded event structure and subjective expression. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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