Risultati finali
The intermediate version of the report presents findings of the evaluation of the second iteration of the prototype system, against which the established test scenarios are executed again, along with an evaluation of a first set of quantitative and qualitative criteria. This version includes a final set of recommended improvements to be included in the final MeMaD prototype system.
Data interchange format specification, final version.This final version of the interchange format specification incorporates feedback from the first and second prototype evaluation cycles and defines the final set of criteria and interchange specifications that that final prototype needs to conform to and will be tested against.
Evaluation report, initial versionThe initial version of the prototype system evaluation report, based on feedback provided by a select group of end users. This report will present the first user feedback after execution of test scenarios and will recommend an initial set of improvements to the system specifications and evaluation criteria.
Summary of dissemination and communication activitiesSummary of dissemination and communication activities taken by partners, highlighting successful generation of new research and commercial projects and collaborations.
Specification of the data interchange format, initial versionThe initial version of the data interchange format will define functional and non-functional requirements of the MeMaD prototype system, based on input concerning the tools developed in WP2, WP3, WP4 and WP5. The requirements are laid out in reference to user requirements and are documented with test scenarios and evaluation criteria.
TV programme annotation modelReport on an initial annotation model for TV programming as well as on the method enabling to go from script and automatic transcription to true subtitles respecting the time and spaces captioning constraints.
Report on discourse-aware machine translation for audio-visual dataA report on neural machine translation models with contextual features beyond sentence boundaries.
Report on cross-lingual content retrieval based on automatic translationA report on the use of machine translation in cross-lingual retrieval of audio-visual content.
Report on multimodal machine translationA report on models with multimodal input and initial evaluations of their quality.
Best Practice Guide for Video DescriptionThis practical guide will outline principles and models of video description drawing on insights about multimodal translation of audiovisual content and the empirical analysis conducted in this WP.
Specification of the data interchange format, intermediate versionThis iteration of the data interchange format updates the specification and future evaluation criteria with feedback and improvements from the first prototype system development and evaluation report.
Evaluation report, final versionThis revision of the report will contain a final evaluation of the MeMaD prototype system, performed using a complete set of quantitative and qualitative test criteria for each of the project’s use cases.
Report on comparative analysis of human and machine video descriptionhis deliverable will report the main findings from the comparative analysis of human descriptions of audiovisual content with corresponding machine-based descriptions generated in WP2.
Report on the initial data management life cycles for the data to be collected, processed and generated during the project.
Data management plan, update 1Updated version of DMP that covers significant changes in project datasets and data policies that arise during the project.
Data management plan, update 2Final version of DMP that covers significant changes in project datasets and data policies that arise during the project.
Updated implementations of the back-end microservices of MeMAD. These will cover the full span of functionalities foreseen in WP3: annotations with a broader set of entity types, diverse enrichments triggered by a more accurate moment detection. The deliverable will include a report describing the microservices and their evaluation results.
Implementations of methods adapted to enhanced human inputsFurther improvements and additions to the tools and libraries contained in D2.1. These will include documentations and actual methods for speaker segmentation and diarization as well as for visual content analysis of video footage. Contains a report.
Collection of annotations and / or video data resulting from the projectA collection of datasets and media corpora that will act as the project legacy datasets. These will be stored to relevant data repositories following the project DMP. Contains a report that describes the collection.
Multimodally annotated dataset of described videoThis deliverable will provide a) transcriptions of a set of audiovisual materials that have audio description and subtitles in at least one project language and b) annotations of relevant visual, auditory and verbal elements, aligned with the corresponding information in the audio description and subtitles. Contains a report that describes the transcriptions and annotations.
TV moments detection and linking, initial versionThe first implementation version of the back-end microservices developed in MeMAD. They will cover initial annotation and enrichment services attached to simple highlight moments extracted from programmes. Contains a report that describes the microservices.
Software and demonstration of human-like content description generationFinal versions of the developed visual and aural tools for multimodal content description, combined with standalone demonstrations and documentation in a report. The methods aim at referring to the recurrent objects and persons in the described media contents in human-like intelligent ways.
Libraries and tools for multimodal content analysisA joint collection of tools, libraries and their documentations from Aalto, Eurecom, Lingsoft, LLS and INA. These are needed in the continuation of this work package and also in the task T6.2 Prototype implementation. Contains a report.
Tools and models for multimodal, multilingual and discourse-aware MTA release of tools and pre-trained models described in D4.1 and D4.2 with a report containing the documentation and user guidelines.
Website with presentation of project and consortium partners, initial setup.
Final website with presentation of project and consortium partnersFinal version of Website with presentation of project and consortium partners.
Pubblicazioni
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Editore:
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Editore:
European Language Resources Association (ELRA)
Autori:
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Proceedings of the 14th Conference of the Association for Machine Translation in the Americas October 6 - 9, 2020 : 1st Workshop on Post-Editing in Modern-Day Translation, 2020, Pagina/e 79-92
Editore:
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Autori:
Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen
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Raúl Vázquez, Umut Sulubacak, Jörg Tiedemann
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Yves Scherrer, Raúl Vázquez, Sami Virpioja
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Phuong Anh Nguyen, Jiaxin Wu, Chong-Wah Ngo, Francis Danny, Benoit Huet
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TRECVID 2019, 23rd International Workshop on Video Retrieval Evaluation, 12-13 November 2019, Gaithersburg, MD, USA, 2019
Editore:
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Autori:
Danny Francis, Phuong Anh Nguyen, Benoit Huet, Chong-Wah Ngo
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2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019, Pagina/e 1868-1872, ISBN 978-1-7281-5023-9
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Dejan Porjazovski, Juho Leinonen, Mikko Kurimo
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Jean Carrive
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10.1145/3347449.3357484
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Abhilash Jain, Aku Rouhe, Stig-Arne Grönroos, Mikko Kurimo
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Interspeech 2020, 2020, Pagina/e 3630-3634
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10.21437/interspeech.2020-1784
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Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020, Pagina/e 479–480, ISBN 978-989-33-0589-8
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European Association for Machine Translation
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Hector Laria Mantecon, Jorma Laaksonen, Danny Francis, Benoit Huet
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Proceedings of TRECVID 2019, 2019
Editore:
NIST
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David Doukhan, Eliott Lechapt, Marc Evrard, Jean Carrive
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14th Music Information Retrieval Evaluation eXchange (MIREX), September 2018, Paris, France., 2018
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Jörg Tiedemann
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Association for Computational Linguistics
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2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2019, Pagina/e 373-380, ISBN 978-1-7281-0306-8
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Zhicun Xu, Peter Smit, and Mikko Kurimo
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Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018), 2018, Pagina/e 24-28, ISBN 978-952-15-4262-6
Editore:
Tampere University of Technology
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TRECVID 2018, 22nd International Workshop on Video Retrieval Evaluation, November 13-15, 2018, Gaithersburg, USA, 2018
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TRECVID 2018, 22nd International Workshop on Video Retrieval Evaluation, November 13-15, 2018, Gaithersburg, USA, 2018
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Proceedings of the British Machine Vision Conference (BMVC), 2020
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British Machine Vision Association
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TRECVID 2019, 23rd International Workshop on Video Retrieval Evaluation, 12-13 November 2019, Gaithersburg, MD, USA, 2019
Editore:
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Editore:
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Editore:
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Editore:
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Autori:
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IOS Press
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Arturs Polis
Pubblicato in:
Master's thesis, 2019
Editore:
University of Helsinki
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Tuomas Kaseva
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Master's thesis, 2019
Editore:
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Autori:
Aditya Surikuchi
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Master's thesis, 2019
Editore:
Aalto University
Autori:
Zhicun Xu
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Master's thesis, 2018
Editore:
Aalto University
Autori:
Héctor Laria Mantecón
Pubblicato in:
Master's thesis, 2019
Editore:
Aalto University
Autori:
Danny Francis
Pubblicato in:
2019
Editore:
Eurecom
Autori:
Phuong Anh Nguyen, Jiaxin Wu, Chong-Wah Ngo, Danny Francis, Benoit Huet
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Springer International Publishing
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Springer
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Sabine Braun, Kim Starr
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Taylor and Francis Ltd.
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Lorenzo Canale, Pasquale Lisena, Raphaël Troncy
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Springer International Publishing
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10.1007/978-3-030-00671-6_6
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Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Nazar Zaki
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Springer
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10.1007/978-3-030-29888-3_16
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Stefanos Vrochidis, Benoit Huet,Edward Chang, Ioannis Kompatsiaris
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2019, ISBN 9781119376996
Editore:
Wiley
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10.1002/9781119376996
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Sabine Braun, Kim Starr
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2020, ISBN 9781003052968
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Taylor & Francis Ltd
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10.4324/9781003052968
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Zohra Rezgui
Pubblicato in:
2019
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University of Carthage
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10.13140/rg.2.2.25957.76005
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