Results 21 to 30 of about 20,321 (258)

A novel Multi-Layer Attention Framework for visual description prediction using bidirectional LSTM

open access: yesJournal of Big Data, 2022
The massive influx of text, images, and videos to the internet has recently increased the challenge of computer vision-based tasks in big data. Integrating visual data with natural language to generate video explanations has been a challenge for decades.
Dinesh Naik, C. D. Jaidhar
doaj   +1 more source

Automatic Image and Video Caption Generation With Deep Learning: A Concise Review and Algorithmic Overlap

open access: yesIEEE Access, 2020
Methodologies that utilize Deep Learning offer great potential for applications that automatically attempt to generate captions or descriptions about images and video frames.
Soheyla Amirian   +3 more
doaj   +1 more source

Evaluation metrics for video captioning: A survey

open access: yesMachine Learning with Applications, 2023
Automatic evaluation metrics play an important role in assessing video captioning systems. Popular metrics used for assessing such approaches are based on word matching and may fail to evaluate the quality of automatically generated captions due to ...
Andrei de Souza Inácio   +1 more
doaj   +1 more source

Video Content Caption Generation Based on ViT and Semantic Guidance [PDF]

open access: yesJisuanji gongcheng, 2023
This paper proposes a video captioning method based on Vision Transformer(ViT) and semantic guidance to alleviate the problems of poor readability and low accuracy of caption text generated by exsisting video content captioning models.First,the visual ...
ZHAO Hong, CHEN Zhiwen, GUO Lan, AN Dong
doaj   +1 more source

Video Question-Answering Techniques, Benchmark Datasets and Evaluation Metrics Leveraging Video Captioning: A Comprehensive Survey

open access: yesIEEE Access, 2021
While describing visual data is a trivial task for humans, it is an intricate task for a computer. This is even more challenging if the visual data is a video. Comprehending a video and describing it is called Video Captioning.
Khushboo Khurana, Umesh Deshpande
doaj   +1 more source

Video Captions Benefit Everyone [PDF]

open access: yesPolicy Insights from the Behavioral and Brain Sciences, 2015
Video captions, also known as same-language subtitles, benefit everyone who watches videos (children, adolescents, college students, and adults). More than 100 empirical studies document that captioning a video improves comprehension of, attention to, and memory for the video.
openaire   +2 more sources

Att-BiL-SL: Attention-Based Bi-LSTM and Sequential LSTM for Describing Video in the Textual Formation

open access: yesApplied Sciences, 2021
With the advancement of the technological field, day by day, people from around the world are having easier access to internet abled devices, and as a result, video data is growing rapidly. The increase of portable devices such as various action cameras,
Shakil Ahmed   +10 more
doaj   +1 more source

Thinking Hallucination for Video Captioning

open access: yes, 2023
18 ...
Ullah, Nasib, Mohanta, Partha Pratim
openaire   +2 more sources

How Do Different Keyword Captioning Strategies Impact Students’ Performance in Oral and Written Production Tasks? A Pilot Study

open access: yesThe EUROCALL Review, 2019
As an increasingly popular format of input, the affordances of audio-visual materials have been widely studied. Past research has provided evidence that audio-visual input combined with different captioning strategies could benefit learners in terms of ...
Long He
doaj   +1 more source

Parallel Dense Video Caption Generation with Multi-Modal Features

open access: yesMathematics, 2023
The task of dense video captioning is to generate detailed natural-language descriptions for an original video, which requires deep analysis and mining of semantic captions to identify events in the video. Existing methods typically follow a localisation-
Xuefei Huang   +3 more
doaj   +1 more source

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