Sentiment analysis of multimodal twitter data
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7390-1
Abstract: Text-driven sentiment analysis has been widely studied in the past decade, on both random and benchmark textual Twitter datasets. Few pertinent studies have also reported visual analysis of images to predict sentiment, but much of… read more here.
Keywords: analysis; text image; sentiment; twitter ... See more keywords
Using artificial intelligence in craft education: crafting with text-to-image generative models
Sign Up to like & getrecommendations! Published in 2023 at "Digital Creativity"
DOI: 10.1080/14626268.2023.2174557
Abstract: ABSTRACT Artificial intelligence (AI) and the automation of creative work have received little attention in craft education. This study aimed to address this gap by exploring Finnish pre-service craft teachers’ and teacher educators’ (N = 15) insights… read more here.
Keywords: craft; image generative; artificial intelligence; text image ... See more keywords
Query is GAN: Scene Retrieval With Attentional Text-to-Image Generative Adversarial Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2947409
Abstract: Scene retrieval from input descriptions has been one of the most important applications with the increasing number of videos on the Web. However, this is still a challenging task since semantic gaps between features of… read more here.
Keywords: generative adversarial; scene retrieval; image; image generative ... See more keywords
Blind Text Image Deblurring Algorithm Based on Multi-Scale Fusion and Sparse Priors
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DOI: 10.1109/access.2023.3245150
Abstract: The goal of blind text image deblurring is to obtain a clean text image from the given blurry text image without knowing the blur kernel. Sparsity-based methods have been shown their effectiveness in various blind… read more here.
Keywords: blur kernel; image deblurring; blind text; text image ... See more keywords
Enhanced Text-to-Image Synthesis With Self-Supervision
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DOI: 10.1109/access.2023.3268869
Abstract: The task of Text-to-Image synthesis is a difficult challenge, especially when dealing with low-data regimes, where the number of training samples is limited. In order to address this challenge, the Self-Supervision Text-to-Image Generative Adversarial Networks… read more here.
Keywords: text image; self supervision; image; image synthesis ... See more keywords
KT-GAN: Knowledge-Transfer Generative Adversarial Network for Text-to-Image Synthesis
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3026728
Abstract: This paper presents a new framework, Knowledge-Transfer Generative Adversarial Network (KT-GAN), for fine-grained text-to-image generation. We introduce two novel mechanisms: an Alternate Attention-Transfer Mechanism (AATM) and a Semantic Distillation Mechanism (SDM), to help generator better… read more here.
Keywords: generative adversarial; image; transfer generative; text image ... See more keywords
Cross-Modal Semantic Matching Generative Adversarial Networks for Text-to-Image Synthesis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3060291
Abstract: Synthesizing photo-realistic images based on text descriptions is a challenging image generation problem. Although many recent approaches have significantly advanced the performance of text-to-image generation, to guarantee semantic matchings between the text description and synthesized… read more here.
Keywords: cross modal; modal semantic; semantic matching; text image ... See more keywords
Knowledge-Driven Generative Adversarial Network for Text-to-Image Synthesis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3116416
Abstract: Text-to-Image (T2I) synthesis is a challenging task that aims to convert natural language descriptions to real images. It remains an open problem mainly due to the diversity of text descriptions, which poses a huge obstacle… read more here.
Keywords: knowledge driven; synthesis; generative adversarial; text image ... See more keywords
Semantic Object Accuracy for Generative Text-to-Image Synthesis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2020.3021209
Abstract: Generative adversarial networks conditioned on textual image descriptions are capable of generating realistic-looking images. However, current methods still struggle to generate images based on complex image captions from a heterogeneous domain. Furthermore, quantitatively evaluating these… read more here.
Keywords: object accuracy; text image; image; semantic object ... See more keywords
A Multimodal Model for College English Teaching Using Text and Image Feature Extraction
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/3601545
Abstract: The rapid development of the internet and multimedia technology in recent years has continued to push foreign language education in the direction of modern education. Multimodal education is becoming more and more important in the… read more here.
Keywords: image feature; education; multimodal model; text image ... See more keywords
Design and Construction of University Book Layout Based on Text Image Preprocessing Algorithm in Education Metaverse Environment
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Environmental and Public Health"
DOI: 10.1155/2022/6219401
Abstract: Books have a significant role in the diffusion of cultural information since they not only carry the weight of cultural inheritance but also serve to preserve historical culture. The major goals of contemporary book layout… read more here.
Keywords: layout design; text image; book layout; book ... See more keywords