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 …
Video captioning: a comparative review of where we are and which could be the route
Video captioning is the process of describing the content of a sequence of images capturing
its semantic relationships and meanings. Dealing with this task with a single image is …
its semantic relationships and meanings. Dealing with this task with a single image is …
Pseudo-labeling with keyword refining for few-supervised video captioning
P Li, T Wang, X Zhao, X Xu, M Song - Pattern Recognition, 2025 - Elsevier
Video captioning generate a sentence that describes the video content. Existing methods
always require a number of captions (eg, 10 or 20) per video to train the model, which is …
always require a number of captions (eg, 10 or 20) per video to train the model, which is …
Time–frequency recurrent transformer with diversity constraint for dense video captioning
P Li, P Zhang, T Wang, H Xiao - Information Processing & Management, 2023 - Elsevier
Describing a long video using multiple sentences, ie, dense video captioning, is a very
challenging task. Existing methods neglect the important fact that the actions of several …
challenging task. Existing methods neglect the important fact that the actions of several …
Data-driven personalisation of television content: a survey
This survey considers the vision of TV broadcasting where content is personalised and
personalisation is data-driven, looks at the AI and data technologies making this possible …
personalisation is data-driven, looks at the AI and data technologies making this possible …
Chinaopen: A dataset for open-world multimodal learning
This paper introduces ChinaOpen, a dataset sourced from Bilibili, a popular Chinese video-
sharing website, for open-world multimodal learning. While the state-of-the-art multimodal …
sharing website, for open-world multimodal learning. While the state-of-the-art multimodal …
Side Information Extraction using Bernoulli Distribution based Deep Learning Technique for Video Transmission
G Ajitha, I SanthiPrabha - Journal of Electrical Engineering & Technology, 2024 - Springer
One method for improving the quality of the transmission of video is video encoding. The
video encoding technique must compresses the video files which does not compromise the …
video encoding technique must compresses the video files which does not compromise the …
[PDF][PDF] Renmin University of China at TRECVID 2021: Searching and Describing Video
In this paper, we summarize our TRECVID 2021 experiments. We participated in two tasks:
Ad-hoc Video Search (AVS) and Video-to-Text Description Generation (VTT). For the AVS …
Ad-hoc Video Search (AVS) and Video-to-Text Description Generation (VTT). For the AVS …