Results 31 to 40 of about 69,316 (271)

Automatic Generation of Grounded Visual Questions [PDF]

, 2017
In this paper, we propose the first model to be able to generate visually grounded questions with diverse types for a single image. Visual question generation is an emerging topic which aims to ask questions in natural language based on visual input.
Qu, Lizhen, Yang, Zhenglu, You, Shaodi, Zhang, Jiawan, Zhang, Shijie   +4 more
core   +1 more source

Multi-Band Image Caption Generation Method Based on Feature Fusion [PDF]

Jisuanji gongcheng
This study proposes a multi-band detection image caption generation method based on feature fusion to address the common problem of poor performance in describing nighttime scenes, occluded target scenes, and captured blurred images in existing image ...
HE Shan, LIN Suzhen, WANG Yanbo, LI Dawei
doaj   +1 more source

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

Applied 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, Kang Liu, Yan Ma, Xu Qian, Tongkai Ji   +4 more
doaj   +1 more source

Image–text coherence and its implications for multimodal AI

Frontiers in Artificial Intelligence, 2023
Human communication often combines imagery and text into integrated presentations, especially online. In this paper, we show how image–text coherence relations can be used to model the pragmatics of image–text presentations in AI systems.
Malihe Alikhani, Baber Khalid, Matthew Stone   +2 more
doaj   +1 more source

Review on Image Caption Generation

International Journal of Advanced Research in Science, Communication and Technology, 2022
With the rapid development of Deep learning, AI along with Computer Vision and Natural Language processing Image caption has become an interesting and complex task. Image caption generation is the process of generating textual description of the given image and it is a challenging task because it consists of apprehension of objects. If the machine will
null Aishwarya Mark, null Sakshi Adokar, null Vageshwari Pandit, null Rutuja Hambarde, null Prof. Swapnil Patil   +4 more
openaire   +1 more source

Image caption generation using Visual Attention Prediction and Contextual Spatial Relation Extraction

Journal of Big Data, 2023
Automatic caption generation with attention mechanisms aims at generating more descriptive captions containing coarser to finer semantic contents in the image.
Reshmi Sasibhooshan, Suresh Kumaraswamy, Santhoshkumar Sasidharan   +2 more
doaj   +1 more source

Image to Caption Generator

International Journal for Modern Trends in Science and Technology, 2020
Deep Learning is generally another field and it has caught a ton of eye since it gives more elevated level of precision in perceiving objects than at any other time prior. NLP is additionally one field that has made an immense effect in our life. NLP has made considerable progress from creating a lucid synopsis of the writings to investigation of ...
openaire   +1 more source

Entity-aware Image Caption Generation [PDF]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018
In proceedings of EMNLP ...
Lu, Di, Whitehead, Spencer, Huang, Lifu, Ji, Heng, Chang, Shih-Fu   +4 more
openaire   +2 more sources

Long-text caption generation for surgical image with a concept retrieval augmented large multimodal model [PDF]

PLoS ONE
Jiquan Liu, Yichen Zhu, Jingyi Feng, Xiaoyan Zhang, Ziyu Zhou, Ye Tao, Huilong Duan   +6 more
doaj   +1 more source

Learning a Recurrent Visual Representation for Image Caption Generation

, 2014
In this paper we explore the bi-directional mapping between images and their sentence-based descriptions. We propose learning this mapping using a recurrent neural network.
Chen, Xinlei, Zitnick, C. Lawrence
core   +1 more source