Results 41 to 50 of about 141,410 (272)

Knowledge-rich Image Gist Understanding Beyond Literal Meaning

open access: yes, 2018
We investigate the problem of understanding the message (gist) conveyed by images and their captions as found, for instance, on websites or news articles. To this end, we propose a methodology to capture the meaning of image-caption pairs on the basis of
Dietz, Laura   +4 more
core   +1 more source

Component based comparative analysis of each module in image captioning

open access: yesICT Express, 2021
Image captioning is a task to generate a new caption using the training data of the image and caption. Since existing deep learning is a black-box model, it is crucial to analyze the influence on each module for understanding the model. In this paper, we
Seoung-Ho Choi   +2 more
doaj   +1 more source

STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset

open access: yes, 2017
In recent years, automatic generation of image descriptions (captions), that is, image captioning, has attracted a great deal of attention. In this paper, we particularly consider generating Japanese captions for images.
Shigeto, Yutaro   +2 more
core   +1 more source

Image Caption Generator

open access: yesInternational Journal of Innovative Technology and Exploring Engineering, 2021
In the modern era, image captioning has become one of the most widely required tools. Moreover, there are inbuilt applications that generate and provide a caption for a certain image, all these things are done with the help of deep neural network models. The process of generating a description of an image is called image captioning.
Megha J Panicker   +3 more
openaire   +1 more source

Geo-Aware Image Caption Generation [PDF]

open access: yesProceedings of the 28th International Conference on Computational Linguistics, 2020
Standard image caption generation systems produce generic descriptions of images and do not utilize any contextual information or world knowledge. In particular, they are unable to generate captions that contain references to the geographic context of an image, for example, the location where a photograph is taken or relevant geographic objects around ...
Nikiforova, Sofia   +3 more
openaire   +3 more sources

Middle-Level Attribute-Based Language Retouching for Image Caption Generation

open access: yesApplied Sciences, 2018
Image caption generation is attractive research which focuses on generating natural language sentences to describe the visual content of a given image. It is an interdisciplinary subject combining computer vision (CV) and natural language processing (NLP)
Zhibin Guan   +4 more
doaj   +1 more source

Image Captioning

open access: yes, 2018
arXiv admin note: text overlap with arXiv:1609.06647 by other ...
Mullachery, Vikram, Motwani, Vishal
openaire   +2 more sources

Can Audio Captions Be Evaluated With Image Caption Metrics?

open access: yesICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
ICASSP ...
Zhou, Zelin   +5 more
openaire   +2 more sources

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

open access: yesFEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli   +8 more
wiley   +1 more source

Incorporating object counts into remote sensing image captioning

open access: yesInternational Journal of Digital Earth
Existing methods for remote sensing image captioning tend to describe a remote sensing image using generic language that lacks specific information about object counts.
Zihao Ni, Zhaoyun Zong, Peng Ren
doaj   +1 more source

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