Investigating Memorability of Dynamic Media
Phuc H. Le-Khac, Ayush K. Rai, Graham Healy, Alan F. Smeaton, and Noel E. O'Connor
TL;DR
This paper explores the challenges of predicting media memorability in dynamic videos, focusing on high-dynamic content and limited datasets, and proposes initial strategies to address these issues.
Contribution
It identifies key challenges in media memorability prediction for videos and suggests new directions to improve performance in this domain.
Findings
Identified high-dynamic content as a core challenge
Recognized limited dataset size as a significant obstacle
Presented initial results towards overcoming these challenges
Abstract
The Predicting Media Memorability task in MediaEval'20 has some challenging aspects compared to previous years. In this paper we identify the high-dynamic content in videos and dataset of limited size as the core challenges for the task, we propose directions to overcome some of these challenges and we present our initial result in these directions.
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Taxonomy
TopicsVisual Attention and Saliency Detection · Multimodal Machine Learning Applications · Human Pose and Action Recognition