Results 41 to 50 of about 104,311 (276)

Caption Generation Based on Emotions Using CSPDenseNet and BiLSTM with Self-Attention

Applied Computational Intelligence and Soft Computing, 2022
Automatic image caption generation is an intricate task of describing an image in natural language by gaining insights present in an image. Featuring facial expressions in the conventional image captioning system brings out new prospects to generate ...
Kavi Priya S, Pon Karthika K, Jayakumar Kaliappan, Senthil Kumaran Selvaraj, Nagalakshmi R, Baye Molla   +5 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

Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation

, 2016
We present our submission to the Microsoft Video to Language Challenge of generating short captions describing videos in the challenge dataset. Our model is based on the encoder--decoder pipeline, popular in image and video captioning systems. We propose
Laaksonen, Jorma, Shetty, Rakshith
core   +1 more source

Content moderation assistance through image caption generation

Intelligent Systems with Applications
The rapid growth in digital media creation has led to an increased challenge in content moderation. Manual and automated moderation are susceptible to risks associated with a slower response time and false positives arising from unpredictable user inputs
Liam Kearns
doaj   +1 more source

Multi-Task Video Captioning with Video and Entailment Generation

, 2017
Video captioning, the task of describing the content of a video, has seen some promising improvements in recent years with sequence-to-sequence models, but accurately learning the temporal and logical dynamics involved in the task still remains a ...
Bansal, Mohit, Pasunuru, Ramakanth
core   +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

Prompt Conditioned Batik Pattern Generation Using LoRA Weighted Diffusion Model With Classifier-Free Guidance

IEEE Access
Batik, a significant element of Indonesian cultural heritage, is renowned for its intricate patterns and profound philosophical meanings. While preserving traditional batik is crucial, the creation of modern patterns is equally encouraged to keep the art
Rahmatulloh Daffa Izzuddin Wahid, Novanto Yudistira, Candra Dewi, Irawati Nurmala Sari, Dyanningrum Pradhikta, Fatmawati   +5 more
doaj   +1 more source

What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?

, 2017
In neural image captioning systems, a recurrent neural network (RNN) is typically viewed as the primary `generation' component. This view suggests that the image features should be `injected' into the RNN.
Camilleri, Kenneth P., Gatt, Albert, Tanti, Marc   +2 more
core   +1 more source

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +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