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4 articles for “captioning model”
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Oculight: AI Based System for Visual Assistance to Blind and Visually Impaired People
Abstract: This research introduces a new captioning model that utilizes both image and caption models to produce textual descriptions of images. By combining a convolutional neural network (CNN) and a long short-term memory (LSTM) recurrent neural network (RNN), this deep learning architecture offers a promising solution for improving the quality of life and independence of blind people through AIbased systems. The system's implementation on an Android device ensures that it is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 22–29 Read article
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Real-Time Audio Video Summarization
Abstract: Video processing has grown in importance for several reasons in today's advanced technological environment where everything is changing at a much faster rate. It is crucial that various video formats, such as surveinillance, social media, and informational videos, are used in our surroundings and daily lives. Various items can be seen, videos can be summarised and characterised, and data can be found with video recording. Additionally, it can benefit the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 9, Issue 2, 2022 · pp. 1–7 Read article
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DOCSNAP: Integrating NLP and Computer Vision for Comprehensive Document Summarization
Abstract: Because of the exponential growth of digital content, sophisticated tools are required for effective data interpretation and administration.. This project harnesses the capabilities of the Gemini AI model developed by Google DeepMind to address the challenges of PDF summarization and image captioning. Gemini AI integrates cutting-edge algorithms, including transformer architectures, to process textual and visual data seamlessly. The project's system architecture involves modules for text and image extraction, with a …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Providing Captions to the Detected Images: Deep Neural Networks and LSTM
Abstract: Automatically generating captions for images seems to be very interesting but at the same time the task is quite challenging as training a machine with proper comprehension of the image, it’s background, detecting the objects present in it and finally generating the captions is only the frontline projection; The difficult part happens behind the scenes: selecting the dataset, training the model, validating the model, developing pre-trained models to test the …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 3, 2021 Read article