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3 articles for “Image caption”
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Image Caption Generator Implementation
Abstract: Image caption generation is a software technology that takes an image as an input and produces a descriptive caption in text form. In the modern era, this technology finds application in various fields. For instance, automatically generating captions for medical images aids in diagnosis and enhances reporting efficiency, helping healthcare professionals to quickly interpret complex visuals. In the realm of autonomous vehicles, image captioning enables these vehicles to understand and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 18–23 Read article
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Automated Image Captioning Using Xception–CNN and LSTM for Descriptive Sentence Generation
Abstract: Generating descriptive texts for images is a complex and challenging task that requires advanced deep learning techniques. This paper presents a descriptive sentence generator for images using a combination of convolutional neural networks and recurrent neural networks. The proposed model utilizes a pretrained convolutional neural network, Xception, to extract image features, which are then processed by a long short-term memory network to generate meaningful textual descriptions. The model is trained …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 20–28 Read article
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A Report on Object Detection and Caption Generator
Abstract: Image Caption Generator is a application that generates captions for images. The image's semantic information is recorded and transformed into plain language. The capture mechanism is a timeconsuming effort that combines picture processing and computer vision. The mechanism must be capable of detecting and establishing links between items, humans, and animals. The goal of this article is to use deep learning to detect, recognize, and generate meaningful captions for a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 13–36 Read article