KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment
Deep learning methods for image quality assessment (IQA) are limited due to the small size
of existing datasets. Extensive datasets require substantial resources both for generating …
of existing datasets. Extensive datasets require substantial resources both for generating …
The Konstanz natural video database (KoNViD-1k)
Subjective video quality assessment (VQA) strongly depends on semantics, context, and the
types of visual distortions. Currently, all existing VQA databases include only a small number …
types of visual distortions. Currently, all existing VQA databases include only a small number …
KonIQ-10K: Towards an ecologically valid and large-scale IQA database
The main challenge in applying state-of-the-art deep learning methods to predict image
quality in-the-wild is the relatively small size of existing quality scored datasets. The reason …
quality in-the-wild is the relatively small size of existing quality scored datasets. The reason …
Analysis of video quality datasets via design of minimalistic video quality models
Blind video quality assessment (BVQA) plays an indispensable role in monitoring and
improving the end-users' viewing experience in various real-world video-enabled media …
improving the end-users' viewing experience in various real-world video-enabled media …
Deep face recognition with center invariant loss
Convolutional Neural Networks (CNNs) have been widely used for face recognition and got
extraordinary performance with large number of available face images of different people …
extraordinary performance with large number of available face images of different people …
Troubleshooting blind image quality models in the wild
Recently, the group maximum differentiation competition (gMAD) has been used to improve
blind image quality assessment (BIQA) models, with the help of full-reference metrics. When …
blind image quality assessment (BIQA) models, with the help of full-reference metrics. When …
Group happiness assessment using geometric features and dataset balancing
V Vonikakis, Y Yazici, VD Nguyen… - Proceedings of the 18th …, 2016 - dl.acm.org
This paper presents the techniques employed in our team's submissions to the 2016
Emotion Recognition in the Wild contest, for the sub-challenge of group-level emotion …
Emotion Recognition in the Wild contest, for the sub-challenge of group-level emotion …
User-generated video quality assessment: A subjective and objective study
Recently, we have observed an exponential increase of user-generated content (UGC)
videos. The distinguished characteristic of UGC videos originates from the video production …
videos. The distinguished characteristic of UGC videos originates from the video production …
UGC-VIDEO: Perceptual quality assessment of user-generated videos
Recent years have witnessed an ever-expanding volume of user-generated content (UGC)
videos available on the Internet. Nevertheless, progress on perceptual quality assessment of …
videos available on the Internet. Nevertheless, progress on perceptual quality assessment of …
Learning from synthetic data for opinion-free blind image quality assessment in the wild
Nowadays, most existing blind image quality assessment (BIQA) models 1) are developed
for synthetically-distorted images and often generalize poorly to authentic ones; 2) heavily …
for synthetically-distorted images and often generalize poorly to authentic ones; 2) heavily …