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- W146597194 abstract "This contribution addresses generation of natural language descriptions for human actions, behaviour and their relations with other objects observed in video streams. The work starts with implementation of conventional image processing techniques to extract high level features from video. These features are converted into natural language descriptions using context free grammar. Although feature extraction processes are erroneous at various levels, we explore approaches to putting them together to produce a coherent description. Evaluation is made by calculating ROUGE scores between human annotated and machine generated descriptions. Further we introduce a task based evaluation by human subjects which provides qualitative evaluation of generated descriptions." @default.
- W146597194 created "2016-06-24" @default.
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- W146597194 date "2012-04-23" @default.
- W146597194 modified "2023-09-23" @default.
- W146597194 title "Describing Video Contents in Natural Language" @default.
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