A review on video summarization techniques
The exponential growth of technology has resulted in a profusion of advanced imaging
devices and eases internet accessibility, leading to an increase in the creation and use of …
devices and eases internet accessibility, leading to an increase in the creation and use of …
Video summarization using deep neural networks: A survey
Video summarization technologies aim to create a concise and complete synopsis by
selecting the most informative parts of the video content. Several approaches have been …
selecting the most informative parts of the video content. Several approaches have been …
The dawn of quantum natural language processing
In this paper, we discuss the initial attempts at boosting understanding human language
based on deep-learning models with quantum computing. We successfully train a quantum …
based on deep-learning models with quantum computing. We successfully train a quantum …
Towards fine-grained citation evaluation in generated text: A comparative analysis of faithfulness metrics
Large language models (LLMs) often produce unsupported or unverifiable content, known
as" hallucinations." To mitigate this, retrieval-augmented LLMs incorporate citations …
as" hallucinations." To mitigate this, retrieval-augmented LLMs incorporate citations …
Optimizing numerical estimation and operational efficiency in the legal domain through large language models
The legal landscape encompasses a wide array of lawsuit types, presenting lawyers with
challenges in delivering timely and accurate information to clients, particularly concerning …
challenges in delivering timely and accurate information to clients, particularly concerning …
Expert-defined keywords improve interpretability of retinal image captioning
Automatic machine learning-based (ML-based) medical report generation systems for retinal
images suffer from a relative lack of interpretability. Hence, such ML-based systems are still …
images suffer from a relative lack of interpretability. Hence, such ML-based systems are still …
Extracting keyframes of breast ultrasound video using deep reinforcement learning
Ultrasound (US) plays a vital role in breast cancer screening, especially for women with
dense breasts. Common practice requires a sonographer to recognize key diagnostic …
dense breasts. Common practice requires a sonographer to recognize key diagnostic …
A novel evaluation framework for image2text generation
Evaluating the quality of automatically generated image descriptions is challenging,
requiring metrics that capture various aspects such as grammaticality, coverage …
requiring metrics that capture various aspects such as grammaticality, coverage …
Deepopht: medical report generation for retinal images via deep models and visual explanation
In this work, we propose an AI-based method that intends to improve the conventional retinal
disease treatment procedure and help ophthalmologists increase diagnosis efficiency and …
disease treatment procedure and help ophthalmologists increase diagnosis efficiency and …
Gpt2mvs: Generative pre-trained transformer-2 for multi-modal video summarization
Traditional video summarization methods generate fixed video representations regardless of
user interest. Therefore such methods limit users' expectations in content search and …
user interest. Therefore such methods limit users' expectations in content search and …