Results 241 to 250 of about 104,311 (276)

Generating Photo Captions for Instagram

2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), 2021
This article describes a method for creating captions for images from the Instagram social network. The user adds his image and receives several captions. Unlike many similar approaches, this system does not create picture descriptions, but selects beautiful quotes from popular writers, philosophers and famous people.
Vladimir Volobuev, Polina Y. Afonichkina
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Image Caption Generation in Telugu

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021
Numerous methods are available to describe images by words and image captioning is a well-examined and researched topic. Further, the subject was much studied to work with English. Our model functions to generate descriptive explanations for general images in Telugu using Deep Learning techniques.
Jagan Mohan Reddy Dwarampudi, Damerla Rampavan, Mandavilli Anu Sandeep Sathwik, Kaipu Nivas Reddy, Vipul Kumar Mishra, Dilbag Singh, Apeksha Agrawal   +6 more
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Attention Analysis in Caption Generation

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI), 2019
Caption Generation is one of the fundamental tasks combining computer vision and natural language processing. To achieve this goal, neural networks are employed to implement a caption generation system. In this paper, we proposed a caption generation system combining a CNN-based object detection system and a language model with a recurrent neural ...
Maaki Shozu, Hidekazu Yanagimoto
exaly   +2 more sources

Image caption generation

ABSTRACT Image caption generation is a multidisciplinary task at the intersection of computer vision and natural language processing, which aims to automatically produce descriptive and coherent textual descriptions for given images. This process involves extracting meaningful visual features from images using techniques such as convolutional neural ...
Kusa Anjana, M. Swetha
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Topic-Specific Image Caption Generation

2017
Recently, image caption which aims to generate a textual description for an image automatically has attracted researchers from various fields. Encouraging performance has been achieved by applying deep neural networks. Most of these works aim at generating a single caption which may be incomprehensive, especially for complex images. This paper proposes
Chang Zhou, Yuzhao Mao, Xiaojie Wang
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Topic-Based Image Caption Generation

Arabian Journal for Science and Engineering, 2019
Image captioning is to generate captions for a given image based on the content of the image. To describe an image efficiently, it requires extracting as much information from it as possible. Apart from detecting the presence of objects and their relative orientation, the respective purpose intending the topic of the image is another vital information ...
Sandeep Kumar Dash, Shantanu Acharya, Partha Pakray, Ranjita Das, Alexander Gelbukh   +4 more
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Image Caption Generation: A Review

The International Conference on scientific innovations in Science, Technology, and Management, 2023
In Artificial Intelligence (AI), the contents of an image are generated automatically which involves computer vision and NLP (Natural Language Processing). The neural model which is regenerative, is created. It depends on computer vision and machine translation. This model is used to generate natural sentences which eventually describes the image. This
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Neural caption generation over figures

Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
Figures are human-friendly but difficult for computers to process automatically. In this work, we investigate the problem of figure captioning. The goal is to automatically generate a natural language description of a given figure. We create a new dataset for figure captioning, FigCAP. To achieve accurate generation of labels in figures, we propose the
Charles Chen, Ruiyi Zhang, Sungchul Kim, Scott Cohen, Tong Yu, Ryan Rossi, Razvan Bunescu   +6 more
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Semantic space captioner: generating image captions step by step

Journal of Electronic Imaging, 2022
Chenhao Zhu, Xia Ye, Qiduo Lu
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Assamese news image caption generation using attention mechanism

Multimedia Tools and Applications, 2022
Ringki Das, Thoudam Doren Singh
exaly