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Intelligent Promo Generation

Promo and trailer production are expensive and labor-intensive tasks in media industry. Recently, content-based video summarization has found its way to the field of computer vision and deep learning that can greatly reduce the human effort for this task. Most effective methods in this regard are relying on deep learning approaches, i.e., learning effective video representations directly from raw video frames, without hand crafting them for the summarization task. Deep learning frameworks are known to be data hungry, which require an immersive annotated data for the training procedure. Collecting annotated video for training deep networks is yet another labor-intensive task that should be limited for cheap automatic promo production. The common solution to avoid the annotation costs is to use the pretrained network on existing labeled datasets. Nevertheless, the performance of the pre-trained networks deteriorates gracefully when the properties of the test videos drifts away from that of the training videos. In this project, we aim at quantifying/modeling the visual domain disparity for the video summarization task by means of real data that is provided by our private partner (RTL). This can be effectively done by evaluating the existing deep learning approaches, that are trained and tested on public video datasets, directly on RTL video collections. Moreover, the evaluation of video summarization task is hardly objective due to its complex nature (human reasoning is required). We benefit from the expertise of our industrial partner to develop a framework for instrumental measure of the quality of summarized video content. Facts Funder: NWO & RTL news Programme: KIEM Overall budget: € Grant amount: 1 year (0.3 FTE) employment Role TU Delft: Host Institute Project duration: January 2020 - January 2021 TU Delft researchers: Dr. Seyran Khademi Visit the project website Contact Dr. Seyran Khademi +31 15 2788433 s.khademi@tudelft.nl 0

Triple-A

The Triple-A project accelerates the Adoption of low-carbon technologies by transnational cooperation between local authority partners, who face the common challenge to stimulate home-owners to adopt low-carbon technologies. Jointly they develop and implement a (Triple-A) method that increases Awareness of low-carbon technologies among home-owners and simultaneously secures easy Access to technologies that fit their needs and resources. One of the mobile consultancy centers developed in the framework of Triple-A (copyright: City of Mechelen) Within the Triple A-project local and regional authorities from Belgium (Antwerpen, Mechelen, Ostend), France (PSEE Picardie), the Netherlands (Breda, Rotterdam) and the United Kingdom (Kent County Council) join forces to encourage home-owners in making their existing single-family homes more sustainable and thus reduce their energy consumption. They are supported by 2 universities (TU Delft and Ghent University), and by a Belgian utility (Eandis/ Fluvius). Main research outputs of the project are ICT solutions, home energy monitoring system testing, concepts for collaborative actions, and for the use of demonstration exemplars to increase the adoption of low-carbon technologies. Facts Funder: EU Programme: Interreg 2 Seas Mers Zeeën, Priority Low carbon technologies Overall budget: € 5.297.095 Grant amount: € 3.178.257 Contribution to TU Delft: ERDF: € 425.065; Province of South-Holland: € 106.266 Grant number: 2S02-029 Role TU Delft: Project partner Project duration: January 2017 - January 2021 TU Delft researchers: Dr.ir. Erwin Mlecnik Dr.ir. Ad Straub Dr.ir. Frits Meijer Project partners City of Antwerp, City of Breda, Kent County Council, City of Mechelen, Public Service for Energy Efficiency (PSEE), City of Rotterdam, AG EOS, Ghent University, Eandis, Fluvius Visit the project website Contact Dr. ir. Erwin Mlecnik +31 15 27 89869 E.Mlecnik@tudelft.nl 0

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Intelligent Promo Generation

Promo and trailer production are expensive and labor-intensive tasks in media industry. Recently, content-based video summarization has found its way to the field of computer vision and deep learning that can greatly reduce the human effort for this task. Most effective methods in this regard are relying on deep learning approaches, i.e., learning effective video representations directly from raw video frames, without hand crafting them for the summarization task. Deep learning frameworks are known to be data hungry, which require an immersive annotated data for the training procedure. Collecting annotated video for training deep networks is yet another labor-intensive task that should be limited for cheap automatic promo production. The common solution to avoid the annotation costs is to use the pretrained network on existing labeled datasets. Nevertheless, the performance of the pre-trained networks deteriorates gracefully when the properties of the test videos drifts away from that of the training videos. In this project, we aim at quantifying/modeling the visual domain disparity for the video summarization task by means of real data that is provided by our private partner (RTL). This can be effectively done by evaluating the existing deep learning approaches, that are trained and tested on public video datasets, directly on RTL video collections. Moreover, the evaluation of video summarization task is hardly objective due to its complex nature (human reasoning is required). We benefit from the expertise of our industrial partner to develop a framework for instrumental measure of the quality of summarized video content. Facts Funder: NWO & RTL news Programme: KIEM Overall budget: € Grant amount: 1 year (0.3 FTE) employment Role TU Delft: Host Institute Project duration: January 2020 - January 2021 TU Delft researchers: Dr. Seyran Khademi Visit the project website Contact Dr. Seyran Khademi +31 15 2788433 s.khademi@tudelft.nl 0

Triple-A

The Triple-A project accelerates the Adoption of low-carbon technologies by transnational cooperation between local authority partners, who face the common challenge to stimulate home-owners to adopt low-carbon technologies. Jointly they develop and implement a (Triple-A) method that increases Awareness of low-carbon technologies among home-owners and simultaneously secures easy Access to technologies that fit their needs and resources. One of the mobile consultancy centers developed in the framework of Triple-A (copyright: City of Mechelen) Within the Triple A-project local and regional authorities from Belgium (Antwerpen, Mechelen, Ostend), France (PSEE Picardie), the Netherlands (Breda, Rotterdam) and the United Kingdom (Kent County Council) join forces to encourage home-owners in making their existing single-family homes more sustainable and thus reduce their energy consumption. They are supported by 2 universities (TU Delft and Ghent University), and by a Belgian utility (Eandis/ Fluvius). Main research outputs of the project are ICT solutions, home energy monitoring system testing, concepts for collaborative actions, and for the use of demonstration exemplars to increase the adoption of low-carbon technologies. Facts Funder: EU Programme: Interreg 2 Seas Mers Zeeën, Priority Low carbon technologies Overall budget: € 5.297.095 Grant amount: € 3.178.257 Contribution to TU Delft: ERDF: € 425.065; Province of South-Holland: € 106.266 Grant number: 2S02-029 Role TU Delft: Project partner Project duration: January 2017 - January 2021 TU Delft researchers: Dr.ir. Erwin Mlecnik Dr.ir. Ad Straub Dr.ir. Frits Meijer Project partners City of Antwerp, City of Breda, Kent County Council, City of Mechelen, Public Service for Energy Efficiency (PSEE), City of Rotterdam, AG EOS, Ghent University, Eandis, Fluvius Visit the project website Contact Dr. ir. Erwin Mlecnik +31 15 27 89869 E.Mlecnik@tudelft.nl 0
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Students Amos Yusuf, Mick Dam & Bas Brouwer winners of Mekel Prize 2024

Master students Amos Yusuf, from the ME faculty (Mick Dam, from the EEMCS faculty and graduate Bas Brouwer have won the Mekel Prize 2024 for the best extra scientific activity at TU Delft: the development of an initiative that brings master students into the classroom teaching sciences to the younger generations. The prize was ceremonially awarded by prof Tim van den Hagen on 13 November after the Van Hasselt Lecture at the Prinsenhof, Delft. They received a statue of Professor Jan Mekel and 1.500,- to spend on their project. Insights into climate change are being openly doubted. Funding for important educational efforts and research are being withdrawn. Short clips – so called “reels” – on Youtube and TikTok threaten to simplify complex political and social problems. AI fakes befuddle what is true and what is not. The voices of science that contribute to those discussion with modesty, careful argument and scepticism, are drowned in noise. This poses a threat for universities like TU Delft, who strive to increase student numbers, who benefit from diverse student populations and aim to pass on their knowledge and scientific virtues to the next generation. It is, therefore, alarming that student enrolments to Bachelor and Master Programs at TU Delft have declined in the past year. Students in front of the class The project is aimed to make the sciences more appealing to the next generation. They have identified the problem that students tend miss out on the opportunity of entering a higher education trajectory in the Beta sciences – because they have a wrong picture of such education. In their mind, they depict it as boring and dry. In his pilot lecture at the Stanislas VMBO in Delft, Amos Yusuf has successfully challenged this image. He shared his enthusiasm for the field of robotics and presented himself as a positive role model to the pupils. And in return the excitement of the high school students is palpable in the videos and pictures from the day. The spark of science fills their eyes. Bas Brouwer Mick Dam are the founders of NUVO – the platform that facilitates the engagement of Master Students in high school education in Delft Their efforts offer TU Delft Master Students a valuable learning moment: By sharing insights from their fields with pupils at high school in an educational setting, our students can find identify their own misunderstandings of their subject, learn to speak in front of non-scientific audiences and peak into education as a work field they themselves might not have considered. An extraordinary commitment According to the Mekel jury, the project scored well on all the criteria (risk mitigation, inclusiveness, transparency and societal relevance). However, it was the extraordinary commitment of Amos who was fully immersed during his Master Project and the efforts of Brouwer and Dam that brought together teaching and research which is integral to academic culture that made the project stand out. About the Mekel Prize The Mekel Prize will be awarded to the most socially responsible research project or extra-scientific activity (e.g. founding of an NGO or organization, an initiative or realization of an event or other impactful project) by an employee or group of employees of TU Delft – projects that showcase in an outstanding fashion that they have been committed from the beginning to relevant moral and societal values and have been aware of and tried to mitigate as much as possible in innovative ways the risks involved in their research. The award recognizes such efforts and wants to encourage the responsible development of science and technology at TU Delft in the future. For furthermore information About the project: https://www.de-nuvo.nl/video-robotica-pilot/ About the Mekel Prize: https://www.tudelft.nl/en/tpm/our-faculty/departments/values-technology-and-innovation/sections/ethics-philosophy-of-technology/mekel-prize

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