Towards coherent natural language description of video streams

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How researchers see this paper

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Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks (2015, methodology): “Following their work, several succeeding approaches [26, 20, 21, 15, 3] applied similar rule-based systems to datasets with larger numbers of objects and events, in different tasks and scenarios.”
Coherent Multi-sentence Video Description with Variable Level of Detail (2014, background): “The ﬁrst task, multi-sentence description, has been explored for videos previously [2, 8, 22], but open challenges remain, namely ﬁnding a segmentation of appropriate gran-Detailed: A woman turned on stove.”
Learning to Describe Video with Weak Supervision by Exploiting Negative Sentential Information (2015, methodology): “First, some methods craft rule-based systems in which language generation is treated as an engineering task (Kojima, Tamura, and Fukunaga 2002; Lee et al. 2008; Khan, Zhang, and Gotoh 2011a; 2011b; Hanckmann, Schutte, and Burghouts 2012; Siddharth, Barbu, and Siskind 2014).”
A Thousand Frames in Just a Few Words: Lingual Description of Videos through Latent Topics and Sparse Object Stitching (2013, unknown): “, SZ}, where S = ∪Di, and Z T , so that each Sj can be independently described by some sparse detections similar in spirit to [14].”