Affective computing for large-scale heterogeneous multimedia data: A survey

S Zhao, S Wang, M Soleymani, D Joshi… - ACM Transactions on …, 2019 - dl.acm.org
The wide popularity of digital photography and social networks has generated a rapidly
growing volume of multimedia data (ie, images, music, and videos), resulting in a great …

Personalized advertising computational techniques: A systematic literature review, findings, and a design framework

I Viktoratos, A Tsadiras - Information, 2021 - mdpi.com
This work conducts a systematic literature review about the domain of personalized
advertisement, and more specifically, about the techniques that are used for this purpose …

The eyes know it: Fakeet-an eye-tracking database to understand deepfake perception

P Gupta, K Chugh, A Dhall… - Proceedings of the 2020 …, 2020 - dl.acm.org
We present FakeET--an eye-tracking database to understand human visual perception of
deepfake videos. Given that the principal purpose of deepfakes is to deceive human …

Does visual self-supervision improve learning of speech representations for emotion recognition?

A Shukla, S Petridis, M Pantic - IEEE Transactions on Affective …, 2021 - ieeexplore.ieee.org
Self-supervised learning has attracted plenty of recent research interest. However, most
works for self-supervision in speech are typically unimodal and there has been limited work …

Zero-shot video emotion recognition via multimodal protagonist-aware transformer network

F Qi, X Yang, C Xu - Proceedings of the 29th ACM International …, 2021 - dl.acm.org
Recognizing human emotions from videos has attracted significant attention in numerous
computer vision and multimedia applications, such as human-computer interaction and …

Feeling Without Sharing: A Federated Video Emotion Recognition Framework Via Privacy-Agnostic Hybrid Aggregation

F Qi, Z Zhang, X Yang, H Zhang, C Xu - Proceedings of the 30th ACM …, 2022 - dl.acm.org
The explosion of video data brings new opportunities and challenges for emotion
recognition. Video emotion applications have great commercial value, but the potential to …

From What You See to What We Smell: Linking Human Emotions to Bio-Markers in Breath

J Bensemann, H Cheena, DTJ Huang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Research has shown that the composition of breath can differ based on the human's
behavioral patterns and mental and physical states immediately before being collected …

Engagement estimation in advertisement videos with eeg

S Balasubramanian, SS Gullapuram… - arxiv preprint arxiv …, 2018 - arxiv.org
Engagement is a vital metric in the advertising industry and its automatic estimation has
huge commercial implications. This work presents a basic and simple framework for …

Learning self-supervised multimodal representations of human behaviour

A Shukla - Proceedings of the 28th ACM International Conference …, 2020 - dl.acm.org
Self-supervised learning of representations has important potential applications in human
behaviour understanding. The ability to learn useful representations from large unlabeled …

الاتجاهات الحديثة لبحوث السيمياء في المجال الاعلامي (2013-2022): دراسة تحليلية من المستوى الثاني

محمد محمود حميد - ALBAHITH ALALAMI, 2024‎ - abaa.uobaghdad.edu.iq
تلبية للضرورة العلمية، قمنّا بدراسة الواقع الحالي للدراسات الكيفية في مجال تطبيقات الإعلام،
بهدف تقديم رؤية شاملة حول النتاج الأكاديمي في هذا المجال، فضلًا عن تحليل نقاط القوة والضعف …