Results 11 to 20 of about 14,313,923 (129)
Multi-Band Image Caption Generation Method Based on Feature Fusion [PDF]
Jisuanji gongchengThis study proposes a multi-band detection image caption generation method based on feature fusion to address the common problem of poor performance in describing nighttime scenes, occluded target scenes, and captured blurred images in existing image ...
HE Shan, LIN Suzhen, WANG Yanbo, LI Dawei
doaj +3 more sources
Middle-Level Attribute-Based Language Retouching for Image Caption Generation
Applied Sciences, 2018 Image caption generation is attractive research which focuses on generating natural language sentences to describe the visual content of a given image. It is an interdisciplinary subject combining computer vision (CV) and natural language processing (NLP)
Zhibin Guan +4 more
doaj +2 more sources
Learn and Tell: Learning Priors for Image Caption Generation
Applied Sciences, 2020 In this work, we propose a novel priors-based attention neural network (PANN) for image captioning, which aims at incorporating two kinds of priors, i.e., the probabilities being mentioned for local region proposals (PBM priors) and part-of-speech clues ...
Pei Liu, Dezhong Peng, Ming Zhang
doaj +2 more sources
Content moderation assistance through image caption generation
Intelligent Systems with ApplicationsThe 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 +2 more sources
DEVELOPMENT OF IMAGE CAPTION GENERATION HYBRID MODEL [PDF]
Scientific Journal of Astana IT UniversityThis study presents a hybrid model for image captioning using a VGG16 convolutional neural network (CNN) for feature extraction and a long short-term memory (LSTM) network for sequential text generation.
Aigul Mimenbayeva +2 more
doaj +2 more sources
Geo-Aware Image Caption Generation [PDF]
, 2020 Standard image caption generation systems produce generic descriptions of images and do not utilize any contextual information or world knowledge. In particular, they are unable to generate captions that contain references to the geographic context of an
ILS LLI +6 more
core +2 more sources
Neural Caption Generation for News Images
, 2018 Automatic caption generation of images has gained significant interest. It gives rise to a lot of interesting image-related applications. For example, it could help in image/video retrieval and management of vast amount of multimedia data available on ...
Batra, V, Vogiatzis, G, He, Y
core +7 more sources
A Rapid Review of Image Captioning
JITeCS (Journal of Information Technology and Computer Science), 2021 Image captioning is an automatic process for generating text based on the content observed in an image. We do review, create framework, and build application model. We review image captioning into 4 categories based on input model, process model, output
Adriyendi Adriyendi
doaj +1 more source
Automatic caption generation for news images [PDF]
, 2011 This thesis is concerned with the task of automatically generating captions for images, which is important for many image-related applications. Automatic description generation for video frames would help security authorities manage more efficiently ...
Feng, Yansong
core +4 more sources
Image Caption Generation Using Contextual Information Fusion With Bi-LSTM-s
IEEE Access, 2023 The image caption generation algorithm necessitates the expression of image content using accurate natural language. Given the existing encoder-decoder algorithm structure, the decoder solely generates words one by one in a front-to-back order and is ...
Huawei Zhang +3 more
doaj +1 more source