Results 41 to 50 of about 20,321 (258)
AIDense video captioning involves identifying, localizing, and describing multiple events within a video. Capturing temporal and contextual dependencies between events is essential for generating coherent and accurate captions.
Dvijesh Bhatt, Priyank Thakkar
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IEEE Access, 2020 Traditional video captioning requests a holistic description of the video, yet the detailed descriptions of the specific objects may not be available. Besides, most methods adopt frame-level inter-tangled features among objects and ambiguous descriptions
Fangyi Zhu +4 more
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Video Captioning Based on Channel Soft Attention and Semantic Reconstructor
Future Internet, 2021 Video captioning is a popular task which automatically generates a natural-language sentence to describe video content. Previous video captioning works mainly use the encoder–decoder framework and exploit special techniques such as attention mechanisms ...
Zhou Lei, Yiyong Huang
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Multi-Task Video Captioning with Video and Entailment Generation
, 2017 Video captioning, the task of describing the content of a video, has seen some promising improvements in recent years with sequence-to-sequence models, but accurately learning the temporal and logical dynamics involved in the task still remains a ...
Bansal, Mohit, Pasunuru, Ramakanth
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, 2019 Describing a video automatically with natural language is a challenging task in the area of computer vision. In most cases, the on-site situation of great events is reported in news, but the situation of the off-site spectators in the entrance and exit is neglected which also arouses people's interest.
Yan, Liqi, Zhu, Mingjian, Yu, Changbin
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Quality Enhancement Based Video Captioning in Video Communication Systems
IEEE AccessVideo captioning is an automatic task that collects natural language to represent visual content. Recently, it has achieved lots of amazing progress thanks to deep learning techniques.
The Van Le, Jin Young Lee
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Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
, 2019 It is well believed that video captioning is a fundamental but challenging task in both computer vision and artificial intelligence fields. The prevalent approach is to map an input video to a variable-length output sentence in a sequence to sequence ...
Chao, Hongyang +5 more
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Action knowledge for video captioning with graph neural networks
Journal of King Saud University: Computer and Information Sciences, 2023 Many existing video captioning methods capture action information in the video by exploiting features extracted from an action recognition model. However, directly using the action features without object-specific representation may not well capture the ...
Willy Fitra Hendria +4 more
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Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation
, 2016 We present our submission to the Microsoft Video to Language Challenge of generating short captions describing videos in the challenge dataset. Our model is based on the encoder--decoder pipeline, popular in image and video captioning systems. We propose
Laaksonen, Jorma, Shetty, Rakshith
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MAT: A Multimodal Attentive Translator for Image Captioning [PDF]
, 2017 In this work we formulate the problem of image captioning as a multimodal translation task. Analogous to machine translation, we present a sequence-to-sequence recurrent neural networks (RNN) model for image caption generation.
Liu, Chang +4 more
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