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Presenter: Claire-Hélène Demarty MediaEval 2016 Predicting Media Interestingness Task In Working Notes Proceedings of the MediaEval 2016 Workshop, Hilversum, Netherlands, October 20-21, CEUR-WS.org (2016) by Claire-Hélène Demarty, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, Hanli Wang, Ngoc Q. K. Duong, and Frédéric Lefebvre Paper: http://ceur-ws.org/Vol-1739/MediaEval_2016_paper_1.pdf Video: https://youtu.be/rAarQaEr9-w Abstract: This paper provides an overview of the Predicting Media Interestingness task that is organized as part of the MediaEval 2016 Benchmarking Initiative for Multimedia Evaluation. The task, which is running for the first year, expects participants to create systems that automatically select images and video segments that are considered to be the most interesting for a common viewer. In this paper, we present the task use case and challenges, the proposed data set and ground truth, the required participant runs and the evaluation metrics.
2016 MediaEval - Interestingness Task Overview
2016 MediaEval - Interestingness Task Overview
multimediaeval
vyasVP
vyasVP
vimal_beic
Jarred Hellon - CV
Jarred Hellon - CV
Jarred Hellon
Como Llamarles?
Como Llamarles?
Anita Donatil
Dunyanin en guzel 7 vahası
Dunyanin en guzel 7 vahası
Raci Göktaş
Kalvi: An Adaptive Tamil m-Learning System
Kalvi: An Adaptive Tamil m-Learning System
jayaradhaa
Hacktrick 2016
Binary Hacking Hakkında Herşey
Binary Hacking Hakkında Herşey
Onur Alanbel
Mohamed Esmat CV
Mohamed Esmat CV
Mohamed Esmat
Recommandé
Presenter: Claire-Hélène Demarty MediaEval 2016 Predicting Media Interestingness Task In Working Notes Proceedings of the MediaEval 2016 Workshop, Hilversum, Netherlands, October 20-21, CEUR-WS.org (2016) by Claire-Hélène Demarty, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, Hanli Wang, Ngoc Q. K. Duong, and Frédéric Lefebvre Paper: http://ceur-ws.org/Vol-1739/MediaEval_2016_paper_1.pdf Video: https://youtu.be/rAarQaEr9-w Abstract: This paper provides an overview of the Predicting Media Interestingness task that is organized as part of the MediaEval 2016 Benchmarking Initiative for Multimedia Evaluation. The task, which is running for the first year, expects participants to create systems that automatically select images and video segments that are considered to be the most interesting for a common viewer. In this paper, we present the task use case and challenges, the proposed data set and ground truth, the required participant runs and the evaluation metrics.
2016 MediaEval - Interestingness Task Overview
2016 MediaEval - Interestingness Task Overview
multimediaeval
vyasVP
vyasVP
vimal_beic
Jarred Hellon - CV
Jarred Hellon - CV
Jarred Hellon
Como Llamarles?
Como Llamarles?
Anita Donatil
Dunyanin en guzel 7 vahası
Dunyanin en guzel 7 vahası
Raci Göktaş
Kalvi: An Adaptive Tamil m-Learning System
Kalvi: An Adaptive Tamil m-Learning System
jayaradhaa
Hacktrick 2016
Binary Hacking Hakkında Herşey
Binary Hacking Hakkında Herşey
Onur Alanbel
Mohamed Esmat CV
Mohamed Esmat CV
Mohamed Esmat
Studiere Fitness und Gesundheitstraining an der HG Hochschule in Form eines virtuellen Fernstudiums mit Präsenzphasen - anerkannt und akkreditiert. Jetzt für den Bachelor Fitness und Gesundheit einschreiben und Studienplatz sichern!
Fitness und Gesundheitstraining (Bachelor of Arts) flexibel neben dem Beruf s...
Fitness und Gesundheitstraining (Bachelor of Arts) flexibel neben dem Beruf s...
Hochschule für Gesundheit & Sport, Technik & Kunst
Problem Çözme Tekniği
Problem çözme tekniği
Problem çözme tekniği
Nur Ekinli
This paper details the participation of the UNED-UV group at the 2015 Retrieving Diverse Social Images Task. This year, our proposal is based on a multi-modal approach that firstly applies a textual algorithm based on Formal Concept Analysis (FCA) and Hierarchical Agglomerative Clustering (HAC) to detect the latent topics addressed by the images to diversify them according to these topics. Secondly, a Local Logistic Regression model, which uses the low level features and some relevant and non-relevant samples, is adjusted and estimates the relevance probability for all the images in the database. http://ceur-ws.org/Vol-1436/ http://www.multimediaeval.org
MediaEval 2015 - UNED-UV @ Retrieving Diverse Social Images Task - Poster
MediaEval 2015 - UNED-UV @ Retrieving Diverse Social Images Task - Poster
multimediaeval
Mesopotamia civilization ..
HISTORY OF MESOPOTAMIA CIVILIZATION
HISTORY OF MESOPOTAMIA CIVILIZATION
Abhishek Mewada
Presenter: Samuel G. Fadel UNIFESP at MediaEval 2016: Predicting Media Interestingness Task In Working Notes Proceedings of the MediaEval 2016 Workshop, Hilversum, Netherlands, October 20-21, CEUR-WS.org (2016) by Jurandy Almeida Paper: http://ceur-ws.org/Vol-1739/MediaEval_2016_paper_28.pdf Video: https://youtu.be/YLthKNczlcA Abstract: This paper describes the approach proposed by UNIFESP for the MediaEval 2016 Predicting Media Interestingness Task and for its video subtask only. The proposed approach is based on combining learning-to-rank algorithms for predicting the interestingness of videos by their visual content.
MediaEval 2016 - UNIFESP Predicting Media Interestingness Task
MediaEval 2016 - UNIFESP Predicting Media Interestingness Task
multimediaeval
Presenter: Miroslav Skácel BUT Zero-Cost Speech Recognition 2016 System Description In Working Notes Proceedings of the MediaEval 2016 Workshop, Hilversum, Netherlands, October 20-21, CEUR-WS.org (2016) by Miroslav Skácel, Martin Karafiát, Lucas Ondel, Albert Uchytil, Igor Szöke Paper: http://ceur-ws.org/Vol-1739/MediaEval_2016_paper_48.pdf Video: https://youtu.be/0pNiLLVTa28 Abstract: This paper describes our work on developing speech recognizers for Vietnamese. It focuses on procedures to prepare provided data precisely. We aim on analysis of the textual transcriptions in particular. Methods to filter out defective data to improve performance of final system are proposed and described in detail. We also propose cleaning of other textual data used for language modeling. Several architectures are investigated to reach both sub-tasks goals. The achieved results are discussed.
MediaEval 2016 - BUT Zero-Cost Speech Recognition
MediaEval 2016 - BUT Zero-Cost Speech Recognition
multimediaeval
NatureView Farm Case study
Nature view farm case study group submited1
Nature view farm case study group submited1
Ibah Jungmin
Berg, Stoddard, Haigh, Greenfield
Social media analysis presentation
Social media analysis presentation
Elizabeth Berg
Studiere Musikproduktion als virtuelles Fernstudium mit Präsenzphasen parallel zum Beruf! Der Bachelorstudiengang ist staatlich anerkannt und wird in Zusammenarbeit mit der renommierten SET School ausgerichtet. Jetzt einschreiben und Studienplatz sichern.
Musikproduktion (Bachelor of Arts) an der HG studieren
Musikproduktion (Bachelor of Arts) an der HG studieren
Hochschule für Gesundheit & Sport, Technik & Kunst
ROMANCE
Yüreğinin şarkısı - KENAN IŞIK
Yüreğinin şarkısı - KENAN IŞIK
Raci Göktaş
Nasil genc kalirsiniz?
Nasil genc kalirsiniz?
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İki̇zler burcu
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Boğa burcundansanız...
Boğa burcundansanız...
Raci Göktaş
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Hangi̇ burç daha CİMRİ?
Raci Göktaş
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Hangi burca aşıksınız?
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Studiere Fitness und Gesundheitstraining an der HG Hochschule in Form eines virtuellen Fernstudiums mit Präsenzphasen - anerkannt und akkreditiert. Jetzt für den Bachelor Fitness und Gesundheit einschreiben und Studienplatz sichern!
Fitness und Gesundheitstraining (Bachelor of Arts) flexibel neben dem Beruf s...
Fitness und Gesundheitstraining (Bachelor of Arts) flexibel neben dem Beruf s...
Hochschule für Gesundheit & Sport, Technik & Kunst
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This paper details the participation of the UNED-UV group at the 2015 Retrieving Diverse Social Images Task. This year, our proposal is based on a multi-modal approach that firstly applies a textual algorithm based on Formal Concept Analysis (FCA) and Hierarchical Agglomerative Clustering (HAC) to detect the latent topics addressed by the images to diversify them according to these topics. Secondly, a Local Logistic Regression model, which uses the low level features and some relevant and non-relevant samples, is adjusted and estimates the relevance probability for all the images in the database. http://ceur-ws.org/Vol-1436/ http://www.multimediaeval.org
MediaEval 2015 - UNED-UV @ Retrieving Diverse Social Images Task - Poster
MediaEval 2015 - UNED-UV @ Retrieving Diverse Social Images Task - Poster
multimediaeval
Mesopotamia civilization ..
HISTORY OF MESOPOTAMIA CIVILIZATION
HISTORY OF MESOPOTAMIA CIVILIZATION
Abhishek Mewada
Presenter: Samuel G. Fadel UNIFESP at MediaEval 2016: Predicting Media Interestingness Task In Working Notes Proceedings of the MediaEval 2016 Workshop, Hilversum, Netherlands, October 20-21, CEUR-WS.org (2016) by Jurandy Almeida Paper: http://ceur-ws.org/Vol-1739/MediaEval_2016_paper_28.pdf Video: https://youtu.be/YLthKNczlcA Abstract: This paper describes the approach proposed by UNIFESP for the MediaEval 2016 Predicting Media Interestingness Task and for its video subtask only. The proposed approach is based on combining learning-to-rank algorithms for predicting the interestingness of videos by their visual content.
MediaEval 2016 - UNIFESP Predicting Media Interestingness Task
MediaEval 2016 - UNIFESP Predicting Media Interestingness Task
multimediaeval
Presenter: Miroslav Skácel BUT Zero-Cost Speech Recognition 2016 System Description In Working Notes Proceedings of the MediaEval 2016 Workshop, Hilversum, Netherlands, October 20-21, CEUR-WS.org (2016) by Miroslav Skácel, Martin Karafiát, Lucas Ondel, Albert Uchytil, Igor Szöke Paper: http://ceur-ws.org/Vol-1739/MediaEval_2016_paper_48.pdf Video: https://youtu.be/0pNiLLVTa28 Abstract: This paper describes our work on developing speech recognizers for Vietnamese. It focuses on procedures to prepare provided data precisely. We aim on analysis of the textual transcriptions in particular. Methods to filter out defective data to improve performance of final system are proposed and described in detail. We also propose cleaning of other textual data used for language modeling. Several architectures are investigated to reach both sub-tasks goals. The achieved results are discussed.
MediaEval 2016 - BUT Zero-Cost Speech Recognition
MediaEval 2016 - BUT Zero-Cost Speech Recognition
multimediaeval
NatureView Farm Case study
Nature view farm case study group submited1
Nature view farm case study group submited1
Ibah Jungmin
Berg, Stoddard, Haigh, Greenfield
Social media analysis presentation
Social media analysis presentation
Elizabeth Berg
Studiere Musikproduktion als virtuelles Fernstudium mit Präsenzphasen parallel zum Beruf! Der Bachelorstudiengang ist staatlich anerkannt und wird in Zusammenarbeit mit der renommierten SET School ausgerichtet. Jetzt einschreiben und Studienplatz sichern.
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Hochschule für Gesundheit & Sport, Technik & Kunst
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Fitness und Gesundheitstraining (Bachelor of Arts) flexibel neben dem Beruf s...
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MediaEval 2015 - UNED-UV @ Retrieving Diverse Social Images Task - Poster
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MediaEval 2016 - UNIFESP Predicting Media Interestingness Task
MediaEval 2016 - UNIFESP Predicting Media Interestingness Task
MediaEval 2016 - BUT Zero-Cost Speech Recognition
MediaEval 2016 - BUT Zero-Cost Speech Recognition
Nature view farm case study group submited1
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Musikproduktion (Bachelor of Arts) an der HG studieren
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