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Video description: A survey of methods, datasets, and evaluation metrics
Video description is the automatic generation of natural language sentences that describe
the contents of a given video. It has applications in human-robot interaction, hel** the …
the contents of a given video. It has applications in human-robot interaction, hel** the …
A review of deep learning for video captioning
Video captioning (VC) is a fast-moving, cross-disciplinary area of research that comprises
contributions from domains such as computer vision, natural language processing …
contributions from domains such as computer vision, natural language processing …
STAT: Spatial-temporal attention mechanism for video captioning
Video captioning refers to automatic generate natural language sentences, which
summarize the video contents. Inspired by the visual attention mechanism of human beings …
summarize the video contents. Inspired by the visual attention mechanism of human beings …
Video captioning using global-local representation
Video captioning is a challenging task as it needs to accurately transform visual
understanding into natural language description. To date, state-of-the-art methods …
understanding into natural language description. To date, state-of-the-art methods …
Reconstruction network for video captioning
In this paper, the problem of describing visual contents of a video sequence with natural
language is addressed. Unlike previous video captioning work mainly exploiting the cues of …
language is addressed. Unlike previous video captioning work mainly exploiting the cues of …
Memory-attended recurrent network for video captioning
Typical techniques for video captioning follow the encoder-decoder framework, which can
only focus on one source video being processed. A potential disadvantage of such design is …
only focus on one source video being processed. A potential disadvantage of such design is …
Syntax-aware action targeting for video captioning
Existing methods on video captioning have made great efforts to identify objects/instances in
videos, but few of them emphasize the prediction of action. As a result, the learned models …
videos, but few of them emphasize the prediction of action. As a result, the learned models …
Controllable video captioning with pos sequence guidance based on gated fusion network
In this paper, we propose to guide the video caption generation with Part-of-Speech (POS)
information, based on a gated fusion of multiple representations of input videos. We …
information, based on a gated fusion of multiple representations of input videos. We …
Video captioning via hierarchical reinforcement learning
Video captioning is the task of automatically generating a textual description of the actions in
a video. Although previous work (eg sequence-to-sequence model) has shown promising …
a video. Although previous work (eg sequence-to-sequence model) has shown promising …
Trends in integration of vision and language research: A survey of tasks, datasets, and methods
Abstract Interest in Artificial Intelligence (AI) and its applications has seen unprecedented
growth in the last few years. This success can be partly attributed to the advancements made …
growth in the last few years. This success can be partly attributed to the advancements made …