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2010
Springer

Improving Automatic Image Captioning Using Text Summarization Techniques

9 years 18 days ago
Improving Automatic Image Captioning Using Text Summarization Techniques
This paper presents two different approaches to automatic captioning of geo-tagged images by summarizing multiple web-documents that contain information related to an image’s location: a graph-based and a statistical-based approach. The graph-based method uses text cohesion techniques to identify information relevant to a location. The statistical-based technique relies on different word or noun phrases frequency counting for identifying pieces of information relevant to a location. Our results show that summaries generated using these two approaches lead indeed to higher ROUGE scores than n-gram language models reported in previous work.
Laura Plaza, Elena Lloret, Ahmet Aker
Added 31 Jan 2011
Updated 31 Jan 2011
Type Journal
Year 2010
Where TSD
Authors Laura Plaza, Elena Lloret, Ahmet Aker
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