This paper describes the MediaEval 2020 Predicting Media Memorability task. After first being proposed at MediaEval 2018, the Predicting Media Memorability task is in its 3rd edition this year, as the prediction of short-term and long-term video memorability (VM) remains a challenging task. In 2020, the format remained the same as in previous editions. This year the videos are a subset of the TRECVid 2019 Video-to-Text dataset, containing more action rich video content as compared with the 2019 task. In this paper a description of some aspects of this task is provided, including its main characteristics, a description of the collection, the ground truth dataset, evaluation metrics and the requirements for participants’ run submissions
In this paper, we present the methods of approach and the main results from the Essex NLIP Team’s pa...
Memorability, defined as the quality of being worth remembering, is a pressing issue in media as we ...
This paper outlines 6 approaches taken to computing video memorability, for the MediaEval media ...
This paper describes the MediaEval 2020 Predicting Media Memorability task. After first being propos...
This paper describes the MediaEval 2020 Predicting Media Memorability task. After first being propos...
This paper describes the MediaEval 2020 Predicting Media Memorability task. After first being propos...
This paper describes the MediaEval 2021 Predicting Media Memorability task, which is in its 4th edit...
This paper describes the 5th edition of the \textit{Predicting Video Memorability Task} as part of M...
This paper describes the 5th edition of the Predicting Video Memorability Task as part of MediaEval2...
| openaire: EC/H2020/780069/EU//MeMADIn this paper, we present the Predicting Media Memorability tas...
In this paper, we present the Predicting Media Memorability task, which is proposed as part of the M...
The Predicting Media Memorability task in the MediaEval evaluation campaign has been running annuall...
This paper describes our approach to the Predicting Media Memorability task in MediaEval 2021, which...
In this paper, we present the methods of approach and the main results from the Essex NLIP Team’s pa...
Memorability, defined as the quality of being worth remembering, is a pressing issue in media as we ...
This paper outlines 6 approaches taken to computing video memorability, for the MediaEval media ...
This paper describes the MediaEval 2020 Predicting Media Memorability task. After first being propos...
This paper describes the MediaEval 2020 Predicting Media Memorability task. After first being propos...
This paper describes the MediaEval 2020 Predicting Media Memorability task. After first being propos...
This paper describes the MediaEval 2021 Predicting Media Memorability task, which is in its 4th edit...
This paper describes the 5th edition of the \textit{Predicting Video Memorability Task} as part of M...
This paper describes the 5th edition of the Predicting Video Memorability Task as part of MediaEval2...
| openaire: EC/H2020/780069/EU//MeMADIn this paper, we present the Predicting Media Memorability tas...
In this paper, we present the Predicting Media Memorability task, which is proposed as part of the M...
The Predicting Media Memorability task in the MediaEval evaluation campaign has been running annuall...
This paper describes our approach to the Predicting Media Memorability task in MediaEval 2021, which...
In this paper, we present the methods of approach and the main results from the Essex NLIP Team’s pa...
Memorability, defined as the quality of being worth remembering, is a pressing issue in media as we ...
This paper outlines 6 approaches taken to computing video memorability, for the MediaEval media ...