Understanding How Deaf and Hard of Hearing Viewers Visually Explore Captioned Live TV News

AA Amin, S Hassan, S Lee, M Huenerfauth - Proceedings of the 20th …, 2023 - dl.acm.org
Captions blocking visual information in live television news leads to dissatisfaction among
Deaf and Hard of Hearing (DHH) viewers, who cannot see important information on the …

Interest level estimation based on tensor completion via feature integration for partially paired user's behavior and videos

T Kushima, S Takahashi, T Ogawa… - IEEE Access, 2019 - ieeexplore.ieee.org
A novel method for interest level estimation based on tensor completion via feature
integration for partially paired users' behavior and videos is presented in this paper. The …

Feature integration via semi-supervised ordinally multi-modal Gaussian process latent variable model

K Kamikawa, K Maeda, T Ogawa… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
This paper presents a method of feature integration via semi-supervised ordinally multi-
modal Gaussian process latent variable model (Semi-OMGP). The proposed method …

Feature Integration via Back-Projection Ordering Multi-Modal Gaussian Process Latent Variable Model for Rating Prediction

K Kamikawa, K Maeda, T Ogawa… - … Conference on Image …, 2023 - ieeexplore.ieee.org
In this paper, we present a method of feature integration via back-projection ordering multi-
modal Gaussian process latent variable model (BPomGP) for rating prediction. In the …

Inferring visual biases in uav videos from eye movements

AF Perrin, L Zhang, O Le Meur - Drones, 2020 - mdpi.com
Unmanned Aerial Vehicle (UAV) imagery is gaining a lot of momentum lately. Indeed,
gathered information from a bird-point-of-view is particularly relevant for numerous …

Preliminary Eye Tracking Scale for Cognitive Load

A Mateja, A Borawska - 2024 - aisel.aisnet.org
The article examines the role of technology in social campaigns and cognitive overload in
advertising. It critiques traditional cognitive load measurement methods and suggests using …

Feature Integration Through Semi-Supervised Multimodal Gaussian Process Latent Variable Model With Pseudo-Labels for Interest Level Estimation

K Kamikawa, K Maeda, T Ogawa, M Haseyama - IEEE Access, 2021 - ieeexplore.ieee.org
This study presents a novel feature integration method for interest level estimation using a
semi-supervised multimodal Gaussian process latent variable model with pseudo-labels …

Interest Level Estimation via Multi-Modal Gaussian Process Latent Variable Factorization

K Kamikawa, K Maeda, T Ogawa… - … Conference on Image …, 2021 - ieeexplore.ieee.org
This paper presents a method of interest level estimation via multimodal Gaussian process
latent variable factorization (mGPLVF). The proposed method estimates user interest levels …

Interest Level Estimation Using Behavior Information through Multi-view Feature Integration Considering Partial and Ordered Labels

K Kamikawa, K Maeda, T Ogawa… - … Conference on Circuits …, 2022 - ieeexplore.ieee.org
This paper presents interest level estimation using behavior information through multi-view
feature integration considering partial and ordered labels. User behavior information is …