Crowdsourcing in computer vision
Computer vision systems require large amounts of manually annotated data to properly
learn challenging visual concepts. Crowdsourcing platforms offer an inexpensive method to …
learn challenging visual concepts. Crowdsourcing platforms offer an inexpensive method to …
Blind image quality assessment based on multichannel feature fusion and label transfer
In this paper, we propose an efficient blind image quality assessment (BIQA) algorithm,
which is characterized by a new feature fusion scheme and a k-nearest-neighbor (KNN) …
which is characterized by a new feature fusion scheme and a k-nearest-neighbor (KNN) …
Examining the influence of using first-person view drones as auxiliary devices in matte painting courses on college students' continuous learning intention
In terms of the teaching process of matte painting, it is essential for students to develop a
sound understanding of the relationship between virtual and physical environments. In this …
sound understanding of the relationship between virtual and physical environments. In this …
The role of visual attention in sentiment prediction
Automated assessment of visual sentiment has many applications, such as monitoring social
media and facilitating online advertising. In current research on automated visual sentiment …
media and facilitating online advertising. In current research on automated visual sentiment …
Emotional attention: From eye tracking to computational modeling
Attending selectively to emotion-eliciting stimuli is intrinsic to human vision. In this research,
we investigate how emotion-elicitation features of images relate to human selective …
we investigate how emotion-elicitation features of images relate to human selective …
Image visual realism: From human perception to machine computation
Visual realism is defined as the extent to which an image appears to people as a photo
rather than computer generated. Assessing visual realism is important in applications like …
rather than computer generated. Assessing visual realism is important in applications like …
Perceptual texture similarity estimation: An evaluation of computational features
Estimation of texture similarity is fundamental to many material recognition tasks. This study
uses fine-grained human perceptual similarity ground-truth to provide a comprehensive …
uses fine-grained human perceptual similarity ground-truth to provide a comprehensive …
Human perception of visual realism for photo and computer-generated face images
Computer-generated (CG) face images are common in video games, advertisements, and
other media. CG faces vary in their degree of realism, a factor that impacts viewer reactions …
other media. CG faces vary in their degree of realism, a factor that impacts viewer reactions …
SORDI. ai: large-scale synthetic object recognition dataset generation for industries
Smart robots play a crucial role in assisting human workers within manufacturing units (like
Industry 4.0) by perceiving and analyzing their surroundings using Deep Learning (DL) …
Industry 4.0) by perceiving and analyzing their surroundings using Deep Learning (DL) …
Visual sentiment prediction with attribute augmentation and multi-attention mechanism
Recently, many methods that exploit attention mechanism to discover the relevant local
regions via visual attributes, have demonstrated promising performance in visual sentiment …
regions via visual attributes, have demonstrated promising performance in visual sentiment …