Technicolor@MediaEval 2016 Predicting Media Interestingness Task

How to make images less power-hungry. An objective benchmark study

RESEARCH PAPER / Apr 2024 / ["Machine learning/ Deep learning /Artificial Intelligence", "Computer Vision", "Image processing"]

Overview of The MediaEval 2021 Predicting MediaMemorability Task

RESEARCH PAPER / Dec 2021 / Computer Vision, Machine learning/ Deep learning /Artificial Intelligence

This paper describes the MediaEval 2021 Predicting Media Memorability task. After first being proposed at MediaEval 2018, the Predicting Media Memorability task is in its 4th edition this year, as the prediction of short-term and long-term video memorability remains a challenging task. This year, two datasets of videos are used:...

On the hidden treasure of dialog in video question answering

RESEARCH PAPER / Oct 2021 / Computer Vision

High-level understanding of stories in video such as movies and TV shows from raw data is extremely challenging. Modern video question answering (VideoQA) systems often use additional human-made sources like plot synopses, scripts, video descriptions or knowledge bases. In this work, we present a new approach to understand the whole...

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