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Colloquial Image Captioning

2019 IEEE International Conference on Multimedia and Expo (ICME), 2019
Image captioning has recently attracted ever-increasing research attention in multimedia and computer vision. However, most of image captioning models focus on generating the plain description for images, neglecting its colloquialism under a potential topic, e.g., the topic Movie for a poster.
Xuri Ge   +3 more
openaire   +1 more source

IMAGE CAPTIONING

BSSS Journal of Computer, 2022
Image captioning using artificial intelligence is a growing trend. This is formally known as automatic image annotation- a process by which a computer system will generate an automatic textual description to a corresponding image by making use of NLP (Natural Language Processing) and Computer Vision. In today’s day and age where visual data is abundant,
R NIVEDA   +3 more
openaire   +1 more source

Image Captioning in the Wild

Proceedings of the Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes, 2017
Automatic image captioning is a well-known problem in the field of artificial intelligence. To solve this problem efficiently, it is also required to understand how people caption images naturally (when not instructed by a set of rules, which tell them to do so in a certain way). This dimension of the problem is rarely discussed.
Philipp Blandfort   +3 more
openaire   +1 more source

A neural image captioning model with caption-to-images semantic constructor

Neurocomputing, 2019
Abstract The current dominant image captioning models are mostly based on a CNN-LSTM encoder-decoder framework. Although this architecture has achieved remarkable progress, it still has shortcomings for not fully capturing the encoded image information.
Jinsong Su   +4 more
openaire   +1 more source

Image Captioning with Memorized Knowledge

Cognitive Computation, 2019
Image captioning, which aims to automatically generate text description of given images, has received much attention from researchers. Most existing approaches adopt a recurrent neural network (RNN) as a decoder to generate captions conditioned on the input image information.
Hui Chen 0013   +5 more
openaire   +1 more source

Increasing the Precision of Image Captioning

International Journal of Computer Vision and Image Processing, 2021
In our everyday life, we come across various media that facilitate communication. Photography is one such medium used for visual communication. Although it is easy for human beings to look at a picture and describe it, it is often a hard task for a computer to generate a caption automatically if a photograph is fed to it. The recent development in deep
Bhargavi Sundar   +2 more
openaire   +1 more source

Aesthetic image captioning on the FAE-Captions dataset

Computers and Electrical Engineering, 2022
Xin Jin 0015   +5 more
openaire   +1 more source

Image Captioner: Captioning for Visual Impact

2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE), 2023
Shabareesh Aryan   +4 more
openaire   +1 more source

Caption TLSTMs: combining transformer with LSTMs for image captioning

International Journal of Multimedia Information Retrieval, 2022
Jie Yan   +5 more
openaire   +1 more source

Neural attention for image captioning: review of outstanding methods

Artificial Intelligence Review, 2021
Zanyar Zohourianshahzadi   +2 more
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