Search Results for author:
Found 6 papers, 1 papers with code
3R-INN: How to be climate friendly while consuming/delivering videos?
The consumption of a video requires a considerable amount of energy during the various stages of its life-cycle.
Overview of The MediaEval 2022 Predicting Video Memorability Task
This paper describes the 5th edition of the Predicting Video Memorability Task as part of MediaEval2022.
Deep-based Film Grain Removal and Synthesis
In the context of video coding, the random nature of film grain makes it both difficult to preserve and very expensive to compress.
Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable?
This paper describes the MediaEval 2020 \textit{Predicting Media Memorability} task.
VideoMem: Constructing, Analyzing, Predicting Short-term and Long-term Video Memorability
Humans share a strong tendency to memorize/forget some of the visual information they encounter.
MediaEval 2018: Predicting Media Memorability Task
In this paper, we present the Predicting Media Memorability task, which is proposed as part of the MediaEval 2018 Benchmarking Initiative for Multimedia Evaluation.
